What Do You Know About TIBCO MDM?

Reviewed by Editorial Team

The ProProfs editorial team is comprised of experienced subject matter experts. They've collectively created over 10,000 quizzes and lessons, serving over 100 million users. Our team includes in-house content moderators and subject matter experts, as well as a global network of rigorously trained contributors. All adhere to our comprehensive editorial guidelines, ensuring the delivery of high-quality content.

Learn about Our Editorial Process

| By Holaoluwa

Holaoluwa

Community Contributor

Quizzes Created: 23 | Total Attempts: 4,907

| Attempts: 122

Quiz Flashcard

Questions

Feedback

During the Quiz End of Quiz

Difficulty

Sequential Easy First Hard First

Share on Facebook Share on Twitter Share on Whatsapp Share on Pinterest Share on Email Copy to Clipboard Embed on your website

1/10 Questions

MDM helps to define and manage the critical data of an organization to provide how many point(s) of reference
- Multiple
- Two
- Single
- None of these

About This Quiz

How well do you know MDM, one of the products of TIBCO software Inc. This quiz covers questions on normalization, data reconciliation etc
Don't miss out!

What Do You Know About Tibco Mdm? - Quiz

2.

In computing, MDM tool supports MDM by doing the following except
- Standardizing data
- Incorporating rules to eliminate incorrect data from entering the system
- Modifying data
- Removing duplicates
Correct Answer

A. Modifying data

Explanation

The MDM tool in computing supports MDM by standardizing data, incorporating rules to eliminate incorrect data from entering the system, and removing duplicates. However, it does not modify data. Modifying data would involve changing or altering the original data, which is not a function of an MDM tool.

Rate this question:
3.

The following are the qualms found in MDM except
- Data security
- Quality of data
- Data-reconciliation issues
- Classification and identification of data
Correct Answer

A. Data security

Explanation

The given answer is "Data security". The question asks for the qualms found in MDM except for one option. The other three options, namely "Quality of data", "Data-reconciliation issues", and "Classification and identification of data" are all valid concerns or challenges that can be associated with Master Data Management (MDM). However, "Data security" is not typically considered a qualm or challenge in MDM, as it is a separate aspect that focuses on protecting data from unauthorized access, breaches, or misuse.

Rate this question:
4.

Processes associated with MDM include the following except
- Normalization
- Data transformation
- Data consolidation
- Data modification
Correct Answer

A. Data modification

Explanation

The question is asking for processes associated with MDM (Master Data Management) that are not included in the given options. MDM involves various processes such as normalization, data transformation, and data consolidation. However, data modification is not included in these processes. Data modification typically refers to the process of making changes or updates to existing data, which may not be directly associated with MDM.

Rate this question:
5.

One of this is true about Normalization
- It helps to free the collection of relations from undesirable insertion, update and deletion dependencies
- It provides taxonomy services
- It helps in detecting errors
- It helps in modifying data
Correct Answer

A. It helps to free the collection of relations from undesirable insertion, update and deletion dependencies

Explanation

Normalization is a process in database design that helps to eliminate undesirable dependencies between relations. These dependencies can occur when data is inserted, updated, or deleted, leading to inconsistencies and anomalies in the database. By normalizing the database, these dependencies are minimized, ensuring that data is stored in a structured and efficient manner. This helps to improve data integrity, reduce redundancy, and enhance overall database performance.

Rate this question:
6.

Data federation is
- The process of providing a single virtual view of master data from one or more sources to one or more destination systems
- The process of copying master data from one system to another, typically through point-to-point interfaces in legacy systems
- The process of capturing master data from multiple sources and integrating into a single hub
- None of these
Correct Answer

A. The process of providing a single virtual view of master data from one or more sources to one or more destination systems

Explanation

Data federation is the process of providing a single virtual view of master data from one or more sources to one or more destination systems. This means that instead of physically copying or integrating the data into a single system, data federation allows users to access and query the data from multiple sources as if it were stored in a single location. This approach is beneficial when dealing with large and distributed datasets, as it eliminates the need for data duplication and allows for real-time access to the most up-to-date information.

Rate this question:
7.

One of the most common reasons some large corporations experience massive issues with MDM is
- Consolidation
- Optimization
- Synchronization
- Merger or Acquisition
Correct Answer

A. Merger or Acquisition

Explanation

Large corporations often face challenges with their Master Data Management (MDM) due to the process of merger or acquisition. When two companies merge or one acquires another, they may have different systems, databases, and data structures. Integrating and consolidating these systems can be complex and time-consuming, leading to issues with MDM. The data from both companies needs to be synchronized and optimized to ensure consistency and accuracy. Therefore, merger or acquisition can be a common reason for massive issues with MDM in large corporations.

Rate this question:
8.

The primary goal of data visualization is to
- Communicate information clearly and efficiently
- Ensure proper modification of data
- Analyze data consistently
- Make complex data more accessible
Correct Answer

A. Communicate information clearly and efficiently

Explanation

The primary goal of data visualization is to communicate information clearly and efficiently. Data visualization involves representing data in a visual format such as charts, graphs, or maps to make it easier for users to understand and interpret the data. By presenting data visually, complex information can be simplified and communicated in a way that is easier to comprehend. This helps in conveying the intended message effectively and allows users to gain insights from the data more efficiently.

Rate this question:
9.

Under data reconciliation, redundancy can be linked to the following except
- Data filtering
- Sensor redundancy
- Observability
- Degree of freedom
Correct Answer

A. Data filtering

Explanation

Data reconciliation is a process that involves comparing and correcting data from different sources to ensure consistency and accuracy. Redundancy refers to the presence of multiple sources or measurements for the same data. In this context, redundancy can be linked to sensor redundancy, observability, and degree of freedom, as they all involve having multiple sources of data. However, data filtering does not involve redundancy, as it is a process of removing or excluding certain data points based on specific criteria. Therefore, data filtering is the exception in this case.

Rate this question:
10.

The process of copying master data from one system to another, typically through point-to-point interfaces in legacy systems is
- Data consolidation
- Data propagation
- Data synchronization
- Data federation
Correct Answer

A. Data propagation

Explanation

Data propagation refers to the process of copying master data from one system to another using point-to-point interfaces in legacy systems. This involves transferring data from a source system to a target system, ensuring that the data is accurately replicated in the target system. This process helps in maintaining consistency and integrity of data across different systems and enables data sharing and integration between systems.

Rate this question: