Viðskiptagreind

1. Í árdaga gagnagreiningar (e.: analytics) voru gögnin oft fengin frá sérfróðum einstaklingum og handunnin til að búa til ákvarðanatökulíkön (e.: decision models).

Rétt

Rangt

The passage states that data analytics were often obtained from individuals themselves and used to create decision models. This suggests that the correct answer is "Rétt" (Correct).

Explanation

The passage states that data analytics were often obtained from individuals themselves and used to create decision models. This suggests that the correct answer is "Rétt" (Correct).

2. Internet hlutanna (e.: Internet of Things - IoT) er fyrirbæri þar sem hin áþreifanlegi heimur tengist internetinu.

Rétt

Rangt

The given statement is in Icelandic language and it translates to "Internet of Things (IoT) is a concept where the physical world is connected to the internet." This statement is correct because IoT refers to the network of physical devices, vehicles, and other objects embedded with sensors, software, and connectivity to exchange data with other devices and systems over the internet. Therefore, the correct answer is "Rétt" which means "Correct" in English.

Explanation

The given statement is in Icelandic language and it translates to "Internet of Things (IoT) is a concept where the physical world is connected to the internet." This statement is correct because IoT refers to the network of physical devices, vehicles, and other objects embedded with sensors, software, and connectivity to exchange data with other devices and systems over the internet. Therefore, the correct answer is "Rétt" which means "Correct" in English.

3. Ein af ástæðum þess að internet hlutanna (e.: internet of things - IoT) er í veldisvexti er vegna þess að undirliggjandi vélbúnaður er að minnka og verða ódýrari.

Rétt

Rangt

The explanation for the correct answer is that the statement is stating that one of the reasons for the rapid growth of the Internet of Things (IoT) is that the underlying hardware is becoming smaller and cheaper.

Explanation

The explanation for the correct answer is that the statement is stating that one of the reasons for the rapid growth of the Internet of Things (IoT) is that the underlying hardware is becoming smaller and cheaper.

4. Aukning á vinnslugetu vélbúnaðar (e.: hardware), hugbúnaðar (e.: software) og netkerfa (e.: networks) hefur haft lítil áhrif á framþróun viðskiptagreindar (e.: business intelligence).

Rétt

Rangt

The explanation for the correct answer "Rangt" is that the statement suggests that the increase in hardware, software, and networks has had little impact on the development of business intelligence. However, this is incorrect as advancements in technology have greatly enhanced the capabilities of business intelligence systems, allowing for more efficient data processing, analysis, and decision-making.

Explanation

The explanation for the correct answer "Rangt" is that the statement suggests that the increase in hardware, software, and networks has had little impact on the development of business intelligence. However, this is incorrect as advancements in technology have greatly enhanced the capabilities of business intelligence systems, allowing for more efficient data processing, analysis, and decision-making.

5. Gögn eru helsti efniviður í viðskiptagreind (e.: business intelligence), gagnagnótt- (e.: big data) og viðskiptagreiningu (e.: business analytics).

Rétt

Rangt

not-available-via-ai

Explanation

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6. Kostnaðurinn við vistun gagna hefur lækkað mikið undanfarin ár sem gerir m.a. gagnanámun (e.: data mining) aðgengilegri fyrir fleiri fyrirtæki.

Rétt

Rangt

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Explanation

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7. SAS Visual Analytics, er hentugt fyrir flugfélög.

Rétt

Rangt

The given statement in Icelandic translates to "SAS Visual Analytics is useful for airplanes." This statement does not provide any context or explanation as to why SAS Visual Analytics is useful for airplanes. Therefore, without further information, it is not possible to provide a specific explanation for why the answer is correct.

Explanation

The given statement in Icelandic translates to "SAS Visual Analytics is useful for airplanes." This statement does not provide any context or explanation as to why SAS Visual Analytics is useful for airplanes. Therefore, without further information, it is not possible to provide a specific explanation for why the answer is correct.

8. Lýsandi (e.: Descriptive) tölfræði gengur út á að útskýra þau gögn sem við erum með.

Rétt

Rangt

The answer is "Rétt" because the question is asking for the correct answer, and "Rétt" means "correct" in Icelandic.

Explanation

The answer is "Rétt" because the question is asking for the correct answer, and "Rétt" means "correct" in Icelandic.

9. Samfélagsnetsþjónustur eins og Facebook, Twitter og LinkedIn eru öll dæmi um skýjaþjónustur (e.: cloud services) á meðan Gmail tölvupósturinn er það ekki.

Rétt

Rangt

The given statement is incorrect. The question states that social networking services like Facebook, Twitter, and LinkedIn are examples of cloud services, while Gmail is not. However, this is incorrect. Gmail is actually a cloud service as well, as it allows users to access their email and store data on remote servers rather than on their local devices. Therefore, the correct answer is "Rangt."

Explanation

The given statement is incorrect. The question states that social networking services like Facebook, Twitter, and LinkedIn are examples of cloud services, while Gmail is not. However, this is incorrect. Gmail is actually a cloud service as well, as it allows users to access their email and store data on remote servers rather than on their local devices. Therefore, the correct answer is "Rangt."

10. Í gagnanámun (e.: data mining) getur flokkun (e.: classification) leitt til spádóms um óorðin atvik.

Rétt

Rangt

The given statement in Icelandic language states that data mining can lead to predictions about future events. Therefore, the correct answer is "Rétt," which means "Correct" in English.

Explanation

The given statement in Icelandic language states that data mining can lead to predictions about future events. Therefore, the correct answer is "Rétt," which means "Correct" in English.

11. Hvert af eftirfarandi er regnhlífarhugtak sem felur í sér skipulag (e.: architectures), verkfæri (e.: tools), gagnagrunna (e.: databases), applications (e.: hugbúnaðarlausnir) og aðferðafræði (e.: methodologies)?

Ákvörðunartökukerfi (e.: Decision support systems - DSS)

Stjórnendaupplýsingakerfi (e.: Management information systems - MIS)

Viðskiptagreind (e.: Business intelligence - BI)

Viðskiptaferlakerfi (e.: Enterprise resource planning - ERP)

Business intelligence (BI) is a term that refers to the processes, technologies, and tools used to gather, analyze, and present data and information to support business decision-making. It involves the use of various architectures, tools, databases, applications, and methodologies to collect and analyze data from different sources and generate meaningful insights. Therefore, BI can be considered as a concept that encompasses various aspects of information management and analysis within an organization.

Explanation

Business intelligence (BI) is a term that refers to the processes, technologies, and tools used to gather, analyze, and present data and information to support business decision-making. It involves the use of various architectures, tools, databases, applications, and methodologies to collect and analyze data from different sources and generate meaningful insights. Therefore, BI can be considered as a concept that encompasses various aspects of information management and analysis within an organization.

12. ____________ var lagt til um miðbik 10. áratugarins af Evróskum samtökum fyrirtækja, sem staðall í aðferðafræði fyrir gagnanámun (e.: data mining).

SVM

CRISP

ANN

EDW

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Explanation

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13. Hvaða myndriti (e.: chart) er lýst sem auðguð útgáfa af dreifiriti (e.: scatter plot)?

Blöðrurit (e.: Bubble chart)

Hitakort (e.: Heat map)

Kökurit (e.: Pie chart)

Kúlurit (e.: Bullet chart)

A bubble chart is a type of scatter plot that uses bubbles to represent data points. Each bubble represents a data point and is plotted on a two-dimensional graph with the x and y axes representing different variables. The size of the bubble represents a third variable. Therefore, a bubble chart can be described as an augmented version of a scatter plot because it adds an additional dimension to the data visualization by incorporating the size of the bubbles.

Explanation

A bubble chart is a type of scatter plot that uses bubbles to represent data points. Each bubble represents a data point and is plotted on a two-dimensional graph with the x and y axes representing different variables. The size of the bubble represents a third variable. Therefore, a bubble chart can be described as an augmented version of a scatter plot because it adds an additional dimension to the data visualization by incorporating the size of the bubbles.

14. Hvað er orðabók (e.: lexicon) í textagreiningu (e.: text analysis)?

Safn viðskiptavina og samskiptum við þá

Safn viðskiptavina, vara, orða og málsgreina

Safn bréfa, orða og málsgreina

Safn orða, samheitum þeirra og merkingu

The correct answer is "Safn orða, samheitum þeirra og merkingu." This option correctly defines orðabók (lexicon) in text analysis as a collection of words, their derivatives, and meanings. It implies that a lexicon in text analysis is a comprehensive resource that includes not only individual words but also their variations and associated meanings.

Explanation

The correct answer is "Safn orða, samheitum þeirra og merkingu." This option correctly defines orðabók (lexicon) in text analysis as a collection of words, their derivatives, and meanings. It implies that a lexicon in text analysis is a comprehensive resource that includes not only individual words but also their variations and associated meanings.

15. ____________ töflureiknilíkan (e.: spreadsheet model) táknar hegðun einhvers yfir tíma.

Kyrrlegt (e.: Static)

Kviklegt (e.: Dynamic)

Lykkjótt (e.: Looped)

Íauka (e.: Add-in)

A dynamic spreadsheet model represents the behavior or changes of something over time. It allows for updating and recalculating data based on changes in input values or variables. Unlike a static model, a dynamic model can adapt and respond to new information or changes in the system it represents. It is designed to capture the dynamic nature of a process or system and provide real-time insights and analysis.

Explanation

A dynamic spreadsheet model represents the behavior or changes of something over time. It allows for updating and recalculating data based on changes in input values or variables. Unlike a static model, a dynamic model can adapt and respond to new information or changes in the system it represents. It is designed to capture the dynamic nature of a process or system and provide real-time insights and analysis.

16. Helstu áskoranir tengdar greiningu mikils magns gagna eru..

Söfnun gagnanna

Vistun gagnanna

Sjálf greining gagnanna

Þörf á nýrri tegund lausna

Allt að ofan

The correct answer is "Allt að ofan". This means "All of the above" in Icelandic. The question is asking about the main challenges related to analyzing large amounts of data. The answer "Allt að ofan" implies that all of the options listed (söfnun gagnanna, vistun gagnanna, sjálf greining gagnanna, þörf á nýrri tegund lausna) are challenges connected to analyzing large amounts of data.

Explanation

The correct answer is "Allt að ofan". This means "All of the above" in Icelandic. The question is asking about the main challenges related to analyzing large amounts of data. The answer "Allt að ofan" implies that all of the options listed (söfnun gagnanna, vistun gagnanna, sjálf greining gagnanna, þörf á nýrri tegund lausna) are challenges connected to analyzing large amounts of data.

17. Viðhorfsgreining (e.: Sentiment analysis) sem er beitt á rödd viðskiptavina leyfir fyrirtækjum að aðlaga vörur sínar og þjónustu í rauntíma til að bregðast við viðhorfi viðskiptavinarins.

Rétt

Rangt

The explanation for the correct answer is that Viðhorfsgreining (Sentiment analysis) allows companies to adapt their products and services in real-time to meet the customer's preferences and needs. This analysis helps businesses to understand the sentiment of their customers and make necessary adjustments to improve customer satisfaction and loyalty.

Explanation

The explanation for the correct answer is that Viðhorfsgreining (Sentiment analysis) allows companies to adapt their products and services in real-time to meet the customer's preferences and needs. This analysis helps businesses to understand the sentiment of their customers and make necessary adjustments to improve customer satisfaction and loyalty.

18. Hadoop var hannað til að vinna samhliða (e.: parallel) með petabæti (e.: petabytes) og exabæti (e.: exabyte) af gögnum sem er dreift á margar vélar.

Rétt

Rangt

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Explanation

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19. Þegar verið er að vinna með gögn í víddargagnagrunni (e.: dimensional database) eins og t.d. OLAP, getur notandinn farið frá samtölum niður í smáatriði. Sú aðgerð er kölluð ____________.

Sneiða (e.: slice)

Brytja (e.: dice)

Bora niður (e.: drill down)

Rúlla upp (e.: roll-up)

When data is organized in a dimensional database like OLAP, the user can navigate from higher-level summaries to lower-level details by "drilling down" into the data. This means that the user can explore more specific and granular information by accessing more detailed levels of the data hierarchy. Therefore, the correct answer is "bora niður" which translates to "drill down" in English.

Explanation

When data is organized in a dimensional database like OLAP, the user can navigate from higher-level summaries to lower-level details by "drilling down" into the data. This means that the user can explore more specific and granular information by accessing more detailed levels of the data hierarchy. Therefore, the correct answer is "bora niður" which translates to "drill down" in English.

20. Í ____________ er öllu gagnasafninu skipt niður í ákveðið marga hluta af svipaðri stærð. Síðan eru sumir hlutar notaðir til að þjálfa líkanið á meðan einn er skilinn eftir til að sannreyna líkanið. Ferlið er svo ítrað í nokkur skipti og þjálfunin hættir þegar hver og einn hluti hefur verið notaður til að sannreyna líkanið.

K-faldri skiptingu gagna (e.: k-fold cross-validation)

Tauganeti (e.: Artificial neural network)

Efstu-10-ráða (e.: Top 10 decider)

Sameinuðum niðurstöðu (e.: Ensemble)

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Explanation

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21. Gögn frá gervitunglum má nota til að meta virkni á lóðum smásöluaðila og kallast þá "annarskonar gögn" (e.: alternative data).

Rétt

Rangt

The given passage states that data from satellites can be used to assess the activity of volcanic eruptions and is referred to as "alternative data." The term "Rétt" means "correct" in Icelandic, so the correct answer is "Rétt."

Explanation

The given passage states that data from satellites can be used to assess the activity of volcanic eruptions and is referred to as "alternative data." The term "Rétt" means "correct" in Icelandic, so the correct answer is "Rétt."

22. Í flestum tilfellum er Hadoop ætlað að koma í staðinn fyrir vöruhús gagna.

Rétt

Rangt

In most cases, Hadoop is not intended to replace a data warehouse. Hadoop is a distributed computing framework that is designed to process and analyze large volumes of data across multiple nodes in a cluster. It is commonly used for tasks such as data storage, data processing, and data analysis. On the other hand, a data warehouse is a centralized repository of structured data that is optimized for querying and reporting. While Hadoop can be used as a complementary tool to a data warehouse, it is not typically used as a direct replacement for it. Therefore, the answer "Rangt" (Wrong) is correct.

Explanation

In most cases, Hadoop is not intended to replace a data warehouse. Hadoop is a distributed computing framework that is designed to process and analyze large volumes of data across multiple nodes in a cluster. It is commonly used for tasks such as data storage, data processing, and data analysis. On the other hand, a data warehouse is a centralized repository of structured data that is optimized for querying and reporting. While Hadoop can be used as a complementary tool to a data warehouse, it is not typically used as a direct replacement for it. Therefore, the answer "Rangt" (Wrong) is correct.

23. Í gagnanámun (e.: data mining) er aðferðin sem er notuð til að koma auga á tilhneigingu til þess að tvær vörur séu keyptar saman, kölluð ____________.

Ákvörðunartré (e.: Decision tree)

Tauganet (e.: Artificial neural network)

Hópun (e.: Clustering)

Sambandsgreining (e.: Association)

Sambandsgreining, or association, is a data mining technique used to discover relationships or associations between different items or variables in a dataset. It helps to identify patterns and connections between items that may not be immediately apparent. This technique is often used in market basket analysis, where the goal is to understand which items are frequently purchased together. By analyzing associations, businesses can make informed decisions about product placement, marketing strategies, and customer preferences.

Explanation

Sambandsgreining, or association, is a data mining technique used to discover relationships or associations between different items or variables in a dataset. It helps to identify patterns and connections between items that may not be immediately apparent. This technique is often used in market basket analysis, where the goal is to understand which items are frequently purchased together. By analyzing associations, businesses can make informed decisions about product placement, marketing strategies, and customer preferences.

24. Hermun er venjulega aðeins notuð þegar vandamálið er of flókið til að leysa með tölulegum bestunar aðferðum (e.: numerical optimization techniques.)

Rétt

Rangt

The given passage states that "Hermun er venjulega aðeins notuð þegar vandamál er of flókið til að leysa með tölulegum bestunaraðferðum." This can be translated to "Simulation is usually only used when the problem is too complex to solve with numerical optimization techniques." Therefore, the correct answer is "Rétt," meaning "Correct."

Explanation

The given passage states that "Hermun er venjulega aðeins notuð þegar vandamál er of flókið til að leysa með tölulegum bestunaraðferðum." This can be translated to "Simulation is usually only used when the problem is too complex to solve with numerical optimization techniques." Therefore, the correct answer is "Rétt," meaning "Correct."

25. Hugbúnaður hefur færst frá því að vinna að mestu með færslur yfir í lausnir á vandamálum.

Rétt

Rangt

The given statement suggests that the main reason why the artificial intelligence understands the solution to problems is because it has been programmed to prioritize efficiency in its operations.

Explanation

The given statement suggests that the main reason why the artificial intelligence understands the solution to problems is because it has been programmed to prioritize efficiency in its operations.

26. Fyrirtæki eyða sjaldnast tíma í að búa til og viðhalda lýsigögnum (e.: meta data) þar sem þau hafa lítið að segja um skilvirkni vöruhúss gagna (e.: data warehouse).

Rétt

Rangt

The given answer "Rangt" is correct because the statement in the question suggests that companies rarely create and maintain metadata in their data warehouses.

Explanation

The given answer "Rangt" is correct because the statement in the question suggests that companies rarely create and maintain metadata in their data warehouses.

27. Mismunandi hreimar tungumála eru áskorun fyrir hugbúnað sem ætlað er að skilja mannlegt tungumál.

Rétt

Rangt

Mismunandi hreimar tungumála eru áskorun fyrir hugbúnað sem ætlað er að skilja mannlegt tungumál. This statement translates to "Different language structures are a challenge for software that aims to understand human language." Since the statement is true, the correct answer is "Rétt" which means "Correct" in Icelandic.

Explanation

Mismunandi hreimar tungumála eru áskorun fyrir hugbúnað sem ætlað er að skilja mannlegt tungumál. This statement translates to "Different language structures are a challenge for software that aims to understand human language." Since the statement is true, the correct answer is "Rétt" which means "Correct" in Icelandic.

28. Hvað er Six Sigma?

Aðferðafræði sem er ætlað að lágmarka breytileika (e.: variability) í viðskiptaferlum (e.: business processes)

Aðferð sem tölfræðingar nota til að breytileika (e.: variability) ferla (e.: processes)

Aðferðafræði sem er ætlað að mæla breytileika (e.: variability) í viðskiptaferlum (e.: business processes)

Aðferðafræði sem er ætlað að lágmarka fjölda galla (e.: defects) í viðskiptaferlum (e.: business processes)

Six Sigma er aðferðafræði sem er notað til að lágmarka fjölda galla í viðskiptaferlum. Í þessari aðferð er stefnt að því að draga úr breytileika og ónákvæmni í ferlum og tryggja aðeins 3,4 galla eða minni á hverja milljón aðgerða eða vörur sem eru framleiddar eða veittar. Markmiðið er að ná hámarksárangri og hagkvæmni í viðskiptum með að draga úr galla og eyðingu og að bæta ferli og framleiðslu.

Explanation

Six Sigma er aðferðafræði sem er notað til að lágmarka fjölda galla í viðskiptaferlum. Í þessari aðferð er stefnt að því að draga úr breytileika og ónákvæmni í ferlum og tryggja aðeins 3,4 galla eða minni á hverja milljón aðgerða eða vörur sem eru framleiddar eða veittar. Markmiðið er að ná hámarksárangri og hagkvæmni í viðskiptum með að draga úr galla og eyðingu og að bæta ferli og framleiðslu.

29. Samanborið við ____________, sem byrjar á vel skilgreindum tilgátum, byrjar gagnanámun (e.: data mining) á lauslega skilgreindum tilgátum um sambönd í gögnum.

Tölfræði (e.: Statistics)

Vélrænt nám (e.: Machine learning)

Gervigreind (e.: Artificial intelligence)

Gagnasafnsfræði (e.: Database theory)

The given statement mentions "gagnanámun" which translates to "data mining" in English. Data mining is a process of discovering patterns, relationships, or insights from large sets of data. Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. Statistics plays a crucial role in data mining as it provides the necessary tools and techniques to analyze and interpret the data. Therefore, statistics is the most relevant option among the given choices.

Explanation

The given statement mentions "gagnanámun" which translates to "data mining" in English. Data mining is a process of discovering patterns, relationships, or insights from large sets of data. Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. Statistics plays a crucial role in data mining as it provides the necessary tools and techniques to analyze and interpret the data. Therefore, statistics is the most relevant option among the given choices.

30. Til að gagnavinnsla í skýinu (e.: cloud computing) gangi upp þurfa notendurnir að hafa þekkingu á og reynslu af stjórnun tæknilegra innviða.

Rétt

Rangt

The statement in the question is saying that users need to have knowledge and experience in managing technical installations in order to use cloud computing effectively. However, the correct answer is "Rangt" which means "Wrong" in Icelandic. This suggests that the statement is incorrect and users do not need to have knowledge and experience in managing technical installations to use cloud computing.

Explanation

The statement in the question is saying that users need to have knowledge and experience in managing technical installations in order to use cloud computing effectively. However, the correct answer is "Rangt" which means "Wrong" in Icelandic. This suggests that the statement is incorrect and users do not need to have knowledge and experience in managing technical installations to use cloud computing.

31. Líkanagerð er lykilþáttur forskriftagreininga (e.: prescriptive analytics).

Rétt

Rangt

The given statement is in Icelandic and it translates to "Lýkanagerð er lykilþáttur forskriftagreininga" which means "Closure is a key component of prescriptive analytics." Therefore, the correct answer is "Rétt" which means "Correct" in Icelandic.

Explanation

The given statement is in Icelandic and it translates to "Lýkanagerð er lykilþáttur forskriftagreininga" which means "Closure is a key component of prescriptive analytics." Therefore, the correct answer is "Rétt" which means "Correct" in Icelandic.

32. Ákvörðunartökutré (e.: Decision tree) geta verið óþjál ef ____________ er(u) til staðar.

Ákvörðunartökutafla (e.: Decision table)

Margir valmöguleikar

Fáir valmöguleikar

Óvissa Óvissa

A decision tree can be useful if there are multiple options available for making a decision. It allows for a systematic approach to evaluate each option and determine the best course of action based on the given criteria.

Explanation

A decision tree can be useful if there are multiple options available for making a decision. It allows for a systematic approach to evaluate each option and determine the best course of action based on the given criteria.

33. Hver af eftirfarandi staðhæfingum um gagnagnótt (e.: big data) er sönn?

Hlutar gagnanna eru vistaðir á mismunandi stöðum á einni tölvu

Hadoop er tegund af örgjörva (e.: processor) sem vinnur í gagnagnóttarlausnum

Gögn úr gagnagnóttarlausn er ekki hægt að blanda saman við gögn úr vöruhúsi gagna (e.: data warehouse)

Gagnagnótt lýsir ákveðinni áskorun við greiningu gagna, ekki einu ákveðnu forriti

The correct answer states that big data describes a specific challenge in data analysis, rather than referring to a specific program. This is true because big data refers to the large volume, velocity, and variety of data that cannot be easily managed or analyzed using traditional methods. It is not a single software or tool, but rather a concept that requires specialized techniques and technologies to extract insights and value from the data.

Explanation

The correct answer states that big data describes a specific challenge in data analysis, rather than referring to a specific program. This is true because big data refers to the large volume, velocity, and variety of data that cannot be easily managed or analyzed using traditional methods. It is not a single software or tool, but rather a concept that requires specialized techniques and technologies to extract insights and value from the data.

34. Hefðbundin vöruhús gagna hafa ekki náð að halda í við ____________.

Þróun SQL fyrirspurnartungumálsins

Breytanleika (e.: Variety) og flækjustig (e.: complexity) gagnanna

Fágun sérfræðikerfa (e.: expert systems)

Stækkanleika (e.: Scalability) OLAP lausna

The correct answer is "Breytanleika (e.: Variety) og flækjustig (e.: complexity) gagnanna." This means that the development of the SQL query language does not need to consider the variety and complexity of the data. SQL is a standardized language used for managing and manipulating relational databases, and it is designed to handle structured data rather than diverse or complex data types. Therefore, the development of SQL does not need to focus on accommodating the variety and complexity of the data.

Explanation

The correct answer is "Breytanleika (e.: Variety) og flækjustig (e.: complexity) gagnanna." This means that the development of the SQL query language does not need to consider the variety and complexity of the data. SQL is a standardized language used for managing and manipulating relational databases, and it is designed to handle structured data rather than diverse or complex data types. Therefore, the development of SQL does not need to focus on accommodating the variety and complexity of the data.

35. Leitarvélar (e.: Search engines) eru aðeins notaðar til að leita á veraldarvefnum (e.: world wide web - www).

Rétt

Rangt

The statement is incorrect. Search engines are not only used to search the world wide web, but also to search for various types of information such as images, videos, documents, and more. Therefore, the correct answer is "Rangt."

Explanation

The statement is incorrect. Search engines are not only used to search the world wide web, but also to search for various types of information such as images, videos, documents, and more. Therefore, the correct answer is "Rangt."

36. Hvert af eftirfarandi er EKKI dæmi um færsluvinnslu (e.: transaction processing)?

Innlögn á bankareikningt

Lestur strikamerkis í búðarkassa

Úttekt í hraðbanka

Samantekt sölufærslna

The other options mentioned in the question are all examples of transaction processing. Innlögn á bankareikningi (depositing money into a bank account), Lestur strikamerkis í búðarkassa (scanning a barcode at a cash register), and Úttekt í hraðbanka (withdrawal from an ATM) are all activities that involve processing transactions. However, Samantekt söluferlanna (summary of sales) is not a transaction processing activity, but rather a reporting or analysis task that involves summarizing sales data.

Explanation

The other options mentioned in the question are all examples of transaction processing. Innlögn á bankareikningi (depositing money into a bank account), Lestur strikamerkis í búðarkassa (scanning a barcode at a cash register), and Úttekt í hraðbanka (withdrawal from an ATM) are all activities that involve processing transactions. However, Samantekt söluferlanna (summary of sales) is not a transaction processing activity, but rather a reporting or analysis task that involves summarizing sales data.

37. Hver er ein af grunn-áskorunum í gerð mælaborða (e.: dashboards)?

Tryggja að upplýsingarnar komist á einn skjá og séu skýrar.

Tryggja að notendur hafi aðgang að nýjasta net-vafranum (e.: web browser).

Tryggja að aðilar í mismunandi deildum innan fyrirtækisins hafi aðgang að þeim.

Tryggja að fyrirtækið sé með réttan vélbúnað til að styðja við þau.

The correct answer is "Tryggja að upplýsingarnar komist á einn skjá og séu skýrar." This option states that one of the main purposes of dashboards is to ensure that information is consolidated onto a single screen and presented in a clear manner. This helps users easily access and understand the data they need.

Explanation

The correct answer is "Tryggja að upplýsingarnar komist á einn skjá og séu skýrar." This option states that one of the main purposes of dashboards is to ensure that information is consolidated onto a single screen and presented in a clear manner. This helps users easily access and understand the data they need.

38. Hvaða skipulag vöruhúsa gagna (e.: data warehouse architecture) notar lýsigögn frá öðrum vöruhúsum gagna til að búa til sýndarvöruhús gagna (e.: logical data warehouse)?

Nöf-og-teina vöruhús gagna (e.: Hub-and-spoke data warehouse)

Sjálfstæðir gagnamarkaðir (e.: Independent data marts)

Sameinað vöruhús gagna (e.: Federated data warehouse)

Miðlægt vöruhús gagna (e.: Centralized data warehouse)

A federated data warehouse, or sameinað vöruhús gagna, uses a distributed architecture where data is stored and managed in multiple separate data warehouses. These individual data warehouses are then connected and integrated to create a unified view of the data. This allows for data to be accessed and analyzed from multiple sources and locations, providing a comprehensive and centralized view of the organization's data.

Explanation

A federated data warehouse, or sameinað vöruhús gagna, uses a distributed architecture where data is stored and managed in multiple separate data warehouses. These individual data warehouses are then connected and integrated to create a unified view of the data. This allows for data to be accessed and analyzed from multiple sources and locations, providing a comprehensive and centralized view of the organization's data.

39. Hver er helsta ástæða þess að samhliða vinnsla (e.: parallel processing) er stundum notuð fyrir gagnanámun (e.: data mining)?

Flest gagnanámunarlíkön krefjast þess.

Magn gagna og flækjustig krefst þess.

Vélbúnaðurinn sem styður það er nú þegar til í flestum fyrirtækjum.

Ná betri samsvörun við áskoranir viðskiptahliðarinnar.

Parallel processing is sometimes used for data mining because it requires handling large amounts of data and complex calculations.

Explanation

Parallel processing is sometimes used for data mining because it requires handling large amounts of data and complex calculations.

40. Lykilmælikvarðar (e.: Key performance indicators - KPI) eru mælingar sem eru venjulega notaðar til að mæla ____________.

Svartíma gagnagrunna (e.: Responsiveness)

Niðurstöður innan fyrirtækisins (e.: Internal results)

Niðurstöður utan fyrirtækisins (e.: External results)

Endurgjöf viðskiptavina (e.: Feedback)

Key performance indicators (KPIs) are measurements that are typically used to measure internal results within a company. KPIs provide valuable insights into the performance and effectiveness of various processes and activities within the organization. By monitoring internal results, companies can assess their efficiency, identify areas for improvement, and make informed decisions to optimize their performance. This helps them align their goals and objectives with their overall business strategy and drive continuous improvement.

Explanation

Key performance indicators (KPIs) are measurements that are typically used to measure internal results within a company. KPIs provide valuable insights into the performance and effectiveness of various processes and activities within the organization. By monitoring internal results, companies can assess their efficiency, identify areas for improvement, and make informed decisions to optimize their performance. This helps them align their goals and objectives with their overall business strategy and drive continuous improvement.

41. Leitarvélabestur (e.: Search engine optimization - SEO) er aðferð sem hönnuðir vefsíðna nota til að ____________.

Auka vægi vefsíðna í niðurstöðum leitarvéla

Semja um betri samninga við fyrirtæki sem vilja birta auglýsingar á vefsíðunum þeirra

Auka upplifun þeirra sem heimsækja vefsíður

Bæta við vísum (e.: indices) sem leitarvélar nota í röðun sinni á niðurstöðum

Search engine optimization (SEO) is a process that aims to increase the visibility and ranking of a website in search engine results. By optimizing various elements of a website such as content, keywords, and backlinks, SEO helps search engines understand the relevance and quality of the website's content. This, in turn, improves the website's chances of appearing higher in search engine results pages (SERPs), ultimately increasing its visibility and attracting more organic traffic. Therefore, the correct answer states that SEO aims to increase the weight or importance of websites in search engine results.

Explanation

Search engine optimization (SEO) is a process that aims to increase the visibility and ranking of a website in search engine results. By optimizing various elements of a website such as content, keywords, and backlinks, SEO helps search engines understand the relevance and quality of the website's content. This, in turn, improves the website's chances of appearing higher in search engine results pages (SERPs), ultimately increasing its visibility and attracting more organic traffic. Therefore, the correct answer states that SEO aims to increase the weight or importance of websites in search engine results.

42. Hvernig vinnur Hadoop?

Það sameinar öll gögnin í eina heild og vinnur með hana á einni, öflugri vél.

Það sameinar öll gögnin í eina heild og vinnur með mörg eintök af henni, samtímis á mörgum ódýrum vélum.

Það brýtur gögnin niður í minni hluta og vinnur með hvern þeirra á einni, öflugri vél.

Það brýtur gögnin niður í minni hluta og vinnur með hvern þeirra, samtímis á mörgum ódýrum vélum.

Hadoop brýtur gögnin niður í minni hluta og vinnur með hvern þeirra, samtímis á mörgum ódýrum vélum. Þetta er gert með því að skipta upp verkefninu í smærri hluta sem hægt er að vinna samhæft á mörgum tölvum í netinu. Þetta eykur vinnsluhraða og getur unnið með stórar gagnasöfn án þess að þurfa að hafa einstaka öfluga tölvu.

Explanation

Hadoop brýtur gögnin niður í minni hluta og vinnur með hvern þeirra, samtímis á mörgum ódýrum vélum. Þetta er gert með því að skipta upp verkefninu í smærri hluta sem hægt er að vinna samhæft á mörgum tölvum í netinu. Þetta eykur vinnsluhraða og getur unnið með stórar gagnasöfn án þess að þurfa að hafa einstaka öfluga tölvu.

43. Hver einstaklingur á öll sín lífkenni (e.: biometrics / biometric data) hvar sem þau kunna að vera niðurkomin.

Rétt

Rangt

The given statement is incorrect. It states that every individual has their biometric data available wherever they may be. However, this is not true as biometric data is not universally accessible or stored in every location. Biometric data is typically stored and accessed through specific systems or devices, such as fingerprint scanners or facial recognition systems, and is not readily available everywhere. Therefore, the correct answer is "Rangt" (Wrong).

Explanation

The given statement is incorrect. It states that every individual has their biometric data available wherever they may be. However, this is not true as biometric data is not universally accessible or stored in every location. Biometric data is typically stored and accessed through specific systems or devices, such as fingerprint scanners or facial recognition systems, and is not readily available everywhere. Therefore, the correct answer is "Rangt" (Wrong).

44. Hvaða áhrif hafa skýlausnir (e.: cloud computing) á stækkanleika (e.: scalability) vöruhúsa gagna (e.: data warehouses)?

Lítil eða engin áhrif

Þjónustuaðilar skýlausna flytja allan þann vélbúnað (e.: hardware) sem þörf er á þangað sem vöruhúsið er vistað

Vélbúnaður (e.: Hardware) er gerður aðgengilegur eftir þörfum

Auðvelt er að bæta við starfsmönnum þar sem skýlausnir eru oftast hýstar í löndum þar sem meðallaun eru lág

Cloud computing has a positive impact on the scalability of data warehouses because it allows hardware to be made accessible according to the needs of the warehouse. This means that resources can be easily scaled up or down depending on the demand, ensuring that the warehouse can efficiently handle varying workloads. This flexibility in accessing hardware resources is one of the key benefits of cloud computing for data warehousing.

Explanation

Cloud computing has a positive impact on the scalability of data warehouses because it allows hardware to be made accessible according to the needs of the warehouse. This means that resources can be easily scaled up or down depending on the demand, ensuring that the warehouse can efficiently handle varying workloads. This flexibility in accessing hardware resources is one of the key benefits of cloud computing for data warehousing.

45. Skýjaþjónustur (e.: Cloud services) nýtast til að mæta gagnagreiningarþörfum minni og meðalstórra fyrirtækja en þær eru ennþá of vanþróaðar til að nýtast í gagnagnótt (e.: big data).

Rétt

Rangt

Cloud services are actually useful for meeting the data analytics needs of both small and large companies. They are not outdated or unnecessary for utilizing big data.

Explanation

Cloud services are actually useful for meeting the data analytics needs of both small and large companies. They are not outdated or unnecessary for utilizing big data.

46. Gagnanámun (e.: Data mining) getur verið mjög nytsamleg í að aðgreina óeðlilega hegðun eins og t.d. kreditkortasvik, en nýtist lítið fyrir hefðbundnar áskoranir fyrirtækja eins og t.d. að auka sölur.

Rétt

Rangt

not-available-via-ai

Explanation

not-available-via-ai

47. Með tilkomu viðskiptagreindarkerfa (e.: business intelligence) hætti fólk að nota m.a. ákvörðunartökukerfi (e.: decision support systems) fyrri aldar.

Rétt

Rangt

The given statement states that people were able to use decision support systems before the emergence of business intelligence systems. However, this statement is incorrect. Business intelligence systems, including decision support systems, have been developed and used in recent decades, not in the previous century. Therefore, the correct answer is "Rangt" (Wrong).

Explanation

The given statement states that people were able to use decision support systems before the emergence of business intelligence systems. However, this statement is incorrect. Business intelligence systems, including decision support systems, have been developed and used in recent decades, not in the previous century. Therefore, the correct answer is "Rangt" (Wrong).

48. Hvaða eiginleiki gagna þýðir að öll nauðsynleg gögn eru til staðar?

Áreiðanleiki (e.: Reliability)

Heilleiki (e.: Richness)

Niðurbrot (e.: Granularity)

Aðgengi (e.: Accessibility)

Richness refers to the amount of detail and depth of information contained in the data. In the context of data, richness implies that the data is comprehensive and provides a complete picture of the subject being analyzed. This means that the data contains all the necessary details and information needed to make informed decisions or draw accurate conclusions. Therefore, richness is an essential characteristic of data that ensures its usefulness and reliability in various applications.

Explanation

Richness refers to the amount of detail and depth of information contained in the data. In the context of data, richness implies that the data is comprehensive and provides a complete picture of the subject being analyzed. This means that the data contains all the necessary details and information needed to make informed decisions or draw accurate conclusions. Therefore, richness is an essential characteristic of data that ensures its usefulness and reliability in various applications.

49. Helstu áskoranir Forskriftar greininga (e.: Prescriptive analysis) eru allar nema..

Sameiginlegur skilningur á vandamálinu sem á að leysa

Teikning á súluritum

Viðhald og stjórnun líkana

Öflun þekkingar á umhverfinu

Prescriptive analysis involves using data and algorithms to determine the best course of action or decision to solve a problem. Drawing a column chart or a bar graph is a common method used in prescriptive analysis to visually represent data and analyze patterns or trends. By creating a visual representation of the data in the form of a column chart, it becomes easier to identify relationships, compare values, and make informed decisions based on the analysis of the chart. Therefore, drawing a column chart is an important aspect of prescriptive analysis.

Explanation

Prescriptive analysis involves using data and algorithms to determine the best course of action or decision to solve a problem. Drawing a column chart or a bar graph is a common method used in prescriptive analysis to visually represent data and analyze patterns or trends. By creating a visual representation of the data in the form of a column chart, it becomes easier to identify relationships, compare values, and make informed decisions based on the analysis of the chart. Therefore, drawing a column chart is an important aspect of prescriptive analysis.

50. Hvaða tegund greininga leitast við að varpa ljósi á það sem er að gerast, það sem líklega mun gerast, og að gefa upplýsingar um hvaða ákvarðanir gefa bestu mögulegu niðurstöðuna?

Lýsandi (e.: Descriptive)

Forskriftar (e.: Prescriptive)

Spádóms (e.: Predictive)

Léns (e.: Domain)

Prescriptive analysis involves providing recommendations or guidelines based on historical data and analysis. It aims to prescribe the best course of action or decision based on the available information. In this context, the question is asking about the type of analysis that seeks to shed light on what will likely happen and provide information about the best possible outcomes. Therefore, the correct answer is "Forskriftar" or "Prescriptive" analysis.

Explanation

Prescriptive analysis involves providing recommendations or guidelines based on historical data and analysis. It aims to prescribe the best course of action or decision based on the available information. In this context, the question is asking about the type of analysis that seeks to shed light on what will likely happen and provide information about the best possible outcomes. Therefore, the correct answer is "Forskriftar" or "Prescriptive" analysis.

51. Tölvuvæddur stuðningur (e.: Computerized support) er aðeins notaður fyrir ákvarðanir sem tengjast utan-að komandi þáttum, eins og t.d. þrýstingi frá samkeppnisaðilum, en ekki til að nýta ný tækifæri til hagræðingar í rekstri.

Rétt

Rangt

The given statement is incorrect. It states that computerized support is only used for activities related to external factors, such as competition from competitors, and not for utilizing new opportunities for operational efficiency. However, this is not true. Computerized support can be used for various purposes, including optimizing operations and improving efficiency. Therefore, the correct answer is "Rangt" (Wrong).

Explanation

The given statement is incorrect. It states that computerized support is only used for activities related to external factors, such as competition from competitors, and not for utilizing new opportunities for operational efficiency. However, this is not true. Computerized support can be used for various purposes, including optimizing operations and improving efficiency. Therefore, the correct answer is "Rangt" (Wrong).

52. Vöruhús gagna (e.: Data warehouses) hafa bein og óbein áhrif á fyrirtækin sem nota þau. Hvert af eftirfarandi eru óbein áhrif af vöruhúsi gagna?

Einfaldað aðgengi að gögnum

Betri og tímanlegri ákvarðanir

Ítarlegri greiningar

Bætt þjónusta við viðskiptavini

The correct answer is "Bætt þjónusta við viðskiptavini" (Improved customer service). Data warehouses provide a centralized and integrated storage of data, allowing businesses to access and analyze data more easily. This improved access to data enables businesses to better understand their customers, their needs, and preferences, leading to improved customer service. By having a comprehensive view of customer data, businesses can personalize their offerings, provide more targeted marketing campaigns, and offer better support and assistance to their customers.

Explanation

The correct answer is "Bætt þjónusta við viðskiptavini" (Improved customer service). Data warehouses provide a centralized and integrated storage of data, allowing businesses to access and analyze data more easily. This improved access to data enables businesses to better understand their customers, their needs, and preferences, leading to improved customer service. By having a comprehensive view of customer data, businesses can personalize their offerings, provide more targeted marketing campaigns, and offer better support and assistance to their customers.

53. Skilningur á því hvaða leitarorð (e.: keywords) leiddu notendur að vefsíðum í gegnum leitarvélar, eykur skilning á ____________.

Hversu vel notandinn skilur vörurnar og þjónustuna sem eru í boði

Þörfum þeirra sem heimsækja vefsíðuna

Vélbúnaðinum sem leitarvélin keyrir á

Vafranum sem notendurnir nota til að finna vefsíðuna

Understanding which keywords users use to search for websites through search engines increases understanding of how well the user understands the products and services offered.

Explanation

Understanding which keywords users use to search for websites through search engines increases understanding of how well the user understands the products and services offered.

54. Hvað þýðir að gagnanámunaraðferð (e.: data mining method) er harðgerð (e.: robust)?

Aðferðin getur búið til gagnanámunarlíkan (e.: data mining model) á skilvirkan hátt út frá miklu magni gagna.

Aðferðin er hraðvirk og nýtir geymslupláss á skilvirkan hátt.

Aðferðin getur spáð fyrir um útkomu áður-óséðra gagna af mikilli nákvæmni.

The correct answer states that the method can handle the presence of outliers and noise in the data. This means that the method is robust and can still produce accurate results even when there are irregularities or errors in the data. It suggests that the method has the ability to identify and account for these outliers or noise, ensuring that they do not significantly impact the overall analysis or predictions made by the model.

Explanation

The correct answer states that the method can handle the presence of outliers and noise in the data. This means that the method is robust and can still produce accurate results even when there are irregularities or errors in the data. It suggests that the method has the ability to identify and account for these outliers or noise, ensuring that they do not significantly impact the overall analysis or predictions made by the model.

55. Myndræn greining (e.: Visual analytics) er almennt lýst sem sameiningu myndrænnar framsetningar (e.: visualization) og ____________.

Viðskiptagreindar (e.: Business intelligence)

Tölfræði (e.: Statistics)

Gagnagreiningar (e.: Analytics)

Gagnanáms (e.: Data mining)

Visual analytics is generally described as the combination of visual representation and analytics. It involves using visual tools and techniques to analyze and understand data, patterns, and trends. By integrating visualizations with analytics, users can gain deeper insights and make more informed decisions. Therefore, the correct answer is "Gagnagreiningar" which means "Analytics" in English.

Explanation

Visual analytics is generally described as the combination of visual representation and analytics. It involves using visual tools and techniques to analyze and understand data, patterns, and trends. By integrating visualizations with analytics, users can gain deeper insights and make more informed decisions. Therefore, the correct answer is "Gagnagreiningar" which means "Analytics" in English.

56. Rekstrargagnageymslur (e.: Operational data stores) eru frábrugðnar vöruhúsum gagna (e.: data warehouses) að því leiti að gögninn þar eru nýrri.

Rétt

Rangt

Operational data stores, or Rekstrargagnageymslur, are useful for storing data that is new or recent. This suggests that the answer is correct.

Explanation

Operational data stores, or Rekstrargagnageymslur, are useful for storing data that is new or recent. This suggests that the answer is correct.

57. Vöruhús gagna (e.: Data warehouse) eru venjulega hönnuð til að veita skilvirkt umhverfi fyrir vefhönnuð forrit (e.: Web-based applications).

Rétt

Rangt

The given answer states that the answer is correct. However, without the actual question, it is not possible to determine the accuracy of the answer or provide a proper explanation.

Explanation

The given answer states that the answer is correct. However, without the actual question, it is not possible to determine the accuracy of the answer or provide a proper explanation.

58. Hvað felur vefnámun (e.: web content mining) í sér?

Greiningu á röðun vefsíðna í leitarvélum

Greiningu á heimsóknum á vefsíður

Greiningu á óskipulögðu (e.: unstructured) efni vefsíðna

Greingingu á URL slóð vefsíðna

The correct answer is "Greiningu á óskipulögðu (e.: unstructured) efni vefsíðna". Web content mining refers to the analysis of unstructured content on webpages. Unstructured content refers to data that does not have a predefined format or organization, such as text documents, images, videos, etc. Analyzing unstructured content involves extracting meaningful information and patterns from this data, which can be used for various purposes like search engine optimization, sentiment analysis, recommendation systems, etc.

Explanation

The correct answer is "Greiningu á óskipulögðu (e.: unstructured) efni vefsíðna". Web content mining refers to the analysis of unstructured content on webpages. Unstructured content refers to data that does not have a predefined format or organization, such as text documents, images, videos, etc. Analyzing unstructured content involves extracting meaningful information and patterns from this data, which can be used for various purposes like search engine optimization, sentiment analysis, recommendation systems, etc.

59. Kostirnir við nýjustu myndrænu greiningarlausnirnar, eins og t.d. SAS Visual Analytics, eru allir af eftirfarandi FYRIR UTAN ____________.

Það er auðveldara að koma auga á nytsamleg mynstur í gögnunum.

Stuðningur er við snjalltæki eins og iPhone.

Það er minni þörf á upplýsingatækni sviði í skýrslugerðinni.

Þau geta kannað mikið magn gagna á fáeinum klukkutímum í staða margra daga

The given answer states that the latest image analysis solutions, such as SAS Visual Analytics, can analyze large amounts of data in a few hours instead of several days. This implies that these solutions are efficient and time-saving, allowing users to quickly identify useful patterns in the data.

Explanation

The given answer states that the latest image analysis solutions, such as SAS Visual Analytics, can analyze large amounts of data in a few hours instead of several days. This implies that these solutions are efficient and time-saving, allowing users to quickly identify useful patterns in the data.

60. Hvað getur greining gagna gert fyrir samfélagsmiðla?

Greinir áhrifavalda á netinu

Auðkennir tengingar á milli hópa

Aðstoðað við að auðkenna fylgjendur (e.: followers)

Greinir innihald samræðna á netinu

The correct answer is "Greinir innihald samræðna á netinu" which translates to "Analyzes the content of online discussions." This answer suggests that data analysis can be used to understand and interpret the content of online conversations, which can be valuable for social media analysis.

Explanation

The correct answer is "Greinir innihald samræðna á netinu" which translates to "Analyzes the content of online discussions." This answer suggests that data analysis can be used to understand and interpret the content of online conversations, which can be valuable for social media analysis.

61. Rekstrar- og færslugagnagrunnar (e.: Operational- and transaction databases) eru vörumiðaðir (e.: product oriented) og vinna með færslur sem geta breytt gögnunum sem þar eru fyrir. Vöruhús gagna (e.: Data warehouse) eru ____________ og ____________.

Vörumiðuð (e.: product oriented); hverful (e.: volatile)

Vörumiðuð (e.: product oriented); óhverful (e.: nonvolatile)

Efnismiðuð (e.: subject oriented); óhverful (e.: nonvolatile)

Efnismiðuð (e.: subject oriented); hverful (e.: volatile)

Operational- and transaction databases are product oriented and can modify the data they contain. Data warehouses, on the other hand, are subject oriented and nonvolatile. This means that data warehouses are focused on specific subjects or areas of interest and do not change frequently. They are designed to store historical and static data for analysis and reporting purposes.

Explanation

Operational- and transaction databases are product oriented and can modify the data they contain. Data warehouses, on the other hand, are subject oriented and nonvolatile. This means that data warehouses are focused on specific subjects or areas of interest and do not change frequently. They are designed to store historical and static data for analysis and reporting purposes.

62. Allar af eftirfarandi áskorunum tengjast skilningi á mannlegu tungumáli FYRIR UTAN ____________.

Skilningi á mismunandi merkingum orða

Skilningi á samhengi þess sem sagt

Skiptingu texta niður í orð

Skilningi á innsláttar- og stafsetningarvillum í texta

The correct answer is "Skiptingu texta niður í orð". This answer is supported by the fact that all the other options are related to understanding language, while this option is about dividing text into words.

Explanation

The correct answer is "Skiptingu texta niður í orð". This answer is supported by the fact that all the other options are related to understanding language, while this option is about dividing text into words.

63. Hermun er tilraunakennd, kostnaðarsöm og óáreiðanleg aðferð til að öðlast innsýn í flókið ákvarðanatökuferli.

Rétt

Rangt

not-available-via-ai

Explanation

not-available-via-ai

64. Hvaða flokkur gagnanámunarlausna (e.: data mining applications) dregur saman önnur líkön til að mynda áreiðanlegar og nákvæmar niðurstöður?

Sambandsgreining (e.: Association)

Sameinaðar niðurstöður (e.: Ensemble)

Hópun (e.: Clustering)

Flokkun (e.: Classification)

Ensemble gagnanámunarlausna dregur saman niðurstöður frá mörgum einstökum gagnanámunarlausnum til að mynda einhverja samhæfðari og nákvæmari niðurstöður. Þetta er gert með því að nota mismunandi aðferðir og tækni í gagnanámunarverkefnum og sameina þær saman. Sameinaðar niðurstöður geta því aukið áreiðanleika og nákvæmni gagnanámunarlausna.

Explanation

Ensemble gagnanámunarlausna dregur saman niðurstöður frá mörgum einstökum gagnanámunarlausnum til að mynda einhverja samhæfðari og nákvæmari niðurstöður. Þetta er gert með því að nota mismunandi aðferðir og tækni í gagnanámunarverkefnum og sameina þær saman. Sameinaðar niðurstöður geta því aukið áreiðanleika og nákvæmni gagnanámunarlausna.

65. IBM Watson kerfið byggir á öllu af eftirfarandi FYRIR UTAN ____________.

Blöndu af grunnri- og djúpri leit (e.: shallow and deep search)

Samhliða gagnavinnslu (e.: parallelism)

Röðun svara eftir tiltrú (e.: confidence)

Fjölhæfri (e.: Universal) vél sem mætti nota í hvaða gagnavinnslu verkefni sem er

The correct answer is "Fjölhæfri (e.: Universal) vél sem mætti nota í hvaða gagnavinnslu verkefni sem er." This means that the IBM Watson system is built on a versatile and universal machine that can be used in any data processing task.

Explanation

The correct answer is "Fjölhæfri (e.: Universal) vél sem mætti nota í hvaða gagnavinnslu verkefni sem er." This means that the IBM Watson system is built on a versatile and universal machine that can be used in any data processing task.

66. Hvaða eiginleiki gagna þýðir að öll gildin innihaldi eins mikil smáatriði og nausynlegt er fyrir þá greiningu sem gögn eiga að notast í?

Niðurbrot (e.: Granularity)

Áreiðanleiki (e.: Reliability)

Aðgengi (e.: Accessibility)

Heilleiki (e.: Richness)

Granularity refers to the level of detail or the size of the smallest distinguishable unit in a set of data. It is important for data analysis because having a high level of granularity allows for more accurate and precise analysis. It ensures that all the necessary information is included and no important details are missed. Therefore, having a high level of granularity is essential for effective data analysis.

Explanation

Granularity refers to the level of detail or the size of the smallest distinguishable unit in a set of data. It is important for data analysis because having a high level of granularity allows for more accurate and precise analysis. It ensures that all the necessary information is included and no important details are missed. Therefore, having a high level of granularity is essential for effective data analysis.

67. Hvaða flokkur gagnanámunarlausna (e.: data mining applications) skiptir gögnum niður eftir nátúrulegum eiginleikum þeirra?

Sambandsgreining (e.: Association)

Myndræn greining (e.: Visual analytics)

Hópun (e.: Clustering)

Flokkun (e.: Classification)

Clustering is the data mining application that divides data into natural groups based on their inherent characteristics. It is a technique used to identify similarities and differences among data points and group them together accordingly. By clustering data, patterns and relationships within the data can be discovered, helping to gain insights and make informed decisions.

Explanation

Clustering is the data mining application that divides data into natural groups based on their inherent characteristics. It is a technique used to identify similarities and differences among data points and group them together accordingly. By clustering data, patterns and relationships within the data can be discovered, helping to gain insights and make informed decisions.

68. ____________-tölfræði dregur ályktanir um eiginleika þess sem gögnin lýsa.

Afleiðandi (e.: Descriptive)

Forskriftar (e.: Prescriptive)

Spádóms (e.: Predictive)

Aðleiðandi (e.: Inferential)

The correct answer is "Aðleiðandi" (Inferential). This is because the word "aðleiðandi" refers to the process of drawing conclusions or making inferences based on the information or data provided. In this context, it suggests that the given data describes the characteristics of something, and the correct answer is the term that represents the act of inferring or drawing conclusions from that data.

Explanation

The correct answer is "Aðleiðandi" (Inferential). This is because the word "aðleiðandi" refers to the process of drawing conclusions or making inferences based on the information or data provided. In this context, it suggests that the given data describes the characteristics of something, and the correct answer is the term that represents the act of inferring or drawing conclusions from that data.

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