Customer service is the provision of serves to customers – hence the name – before, during, and/or after a purchase. Whether you work in retail or a call center, customer service is a necessity for any business in ensuring customer satisfaction. Take this Business and Customer Service Quiz to see how much do you know.
On the Dimensions tab, press the Add Calculated Dimension button
On the Expressions tab, add an expression using the Class function
On the Expressions tab, add an expression using the Aggr function
On the Dimensions tab, press the Add Dynamic Dimension button
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A language definition table in the data model containing all descriptions for each language, and the option to select a specific language in a field
A separate document for each language
Variables for language-specific items and the option to select a specific language in a field
A language definition table in the data model containing all descriptions for each language, automatically linking the business user to a language
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Convert the QVW application into a .mob document on the server
Ensure that screen resolution is appropriate for the device
Convert the QVW application into a HTML5 document
Create a specific QVW application for each device
Use only sheet objects suitable for tablet devices
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A report with banding on SalesTeam
A report with GROUP BY on SalesTeam
Separate reports with where clauses for each SalesTeam
Separate reports referencing bookmarks for each SalesTeam
A report that uses current selections where the user selects each SalesTeam in turn
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Create a separate QVW containing values in the data model for both the local and $USD currency amounts
Create a single QVW and add a table containing currency multipliers while using $USD as a baseline currency
Create a separate QVW for each currency ($USD is considered its own currency) and document chain them all together
Create a single QVW with duplicate tables for each currency in data islands and associate each data island to each user or group
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Multiple spellings of the same City
The City value London is associated with two different Country values
The Country values and SalesOrderID values do not relate properly
The SalesAmount field name does not contain a space
Inconsistent Country abbreviations
Duplicate key values
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The Transaction ID field name contains a space
One or more Product field values contain spaces
The Date field values contain special characters
One or more header rows are included in the file data
One or more Product field values contain the file delimiter
The Date field name is also a function name and is a reserved word
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NULL
1; 2; 3
1100; 1300; 2210; 2250; 3125; 3130; 3120
1,100; 1,300; 2,210; 2,250; 3,125; 3,130; 3,120
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Change the default DateFormat variable assignment on the Main script tab
Use the Date function to format the field during load
Use the Alt function with different Date# functions
Use the Lookup function with a format table
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The field formats (such as numeric or string) must be the same in the original data sources.
The fields must be defined as primary or foreign keys in the original data sources.
The fields must be aliased to the same name when loading into QlikView.
The number of distinct values in each field must be the same.
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Convert numeric fields into text fields using the Text function
Combine multiple fields into one complex field, reducing the number of fields per table
Make all numeric fields a fixed length by left padding with leading 0's using the Num function
Split out a single complex field into multiple fields reducing the number of distinct values per field
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ACCOUNT_ID
TRANS_SEQ
ACCOUNT_ID and TRANS_SEQ
ACCOUNT_ID, TRANS_SEQ, and TRANS_TYPE
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Many-to-many
One-to-many
One-to-none
One-to-one
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The snowflake schema has been transformed into a de-normalized schema.
The snowflake schema has been transformed into a normalized schema.
The star schema has been transformed into a de-normalized schema.
The star schema has been transformed into a normalized schema.
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There will be a relationship between all the tables without synthetic key tables or loosely coupled tables.
There will be a relationship between four of the five tables and one table will be a data island.
There will be a synthetic key table in the data model.
There will be loosely coupled tables in the data model.
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Load the tables leaving the automatic associations
Comment out the AssignedTo from the Orders table
Comment out the AssignedTo from the Customer table
Use Rename Field syntax to alias one of the AssignedTo fields
Create a concatenated key of CustomerID and AssignedTo in both tables
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Build a Link Table to connect the four transaction tables and add a summary table with precalculated counts, totals, and averages
Build a Link Table to connect the four transaction tables and alias fields that must be kept in their respective table
Concatenate the four transaction tables and add a summary table with pre-calculated counts, totals, and averages
Concatenate the four transaction tables and add fields to identify the record type and count flag
Keep the four transaction tables separate and qualify the names to control correct linkage
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Load the Actuals table, and when loading the Budgets table, use Outer Join to join the BudgetAmount field to the Actuals table
Load the Actuals table, and when loading the Budgets table, rename fields Year and Month to BudgetYear and BudgetMonth
Load the Actuals table, and when loading the Budgets table, use the Concatenate function to append the Budgets table to the Actuals table
Create a concatenated key of Product-Year-Month in both the Budgets and Actuals table and comment out the individual fields in the Budgets table
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From the script editor, on the Data tab, under Database, choose 'ODBC' from the Database pull down, assure the 'Force 32 bit' check box is selected, and then click the 'Connect' button
From the script editor, on the Data tab, under Database, choose 'ODBC 32 bit' from the Database pull down and then click the 'Connect' button
From the script editor, on the Data tab, click on the 'database conversion' button and convert the database from a 32 bit to 64 bit database
From the script editor, on the Data tab, under Database choose 'ODBC' from the Database pull down and then click the 'Connect' button
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By using Input Box to enter the lookup table
By using AutoGenerate to load the lookup table
By generating a lookup table using the Inline wizard
By loading the lookup table using an Include statement
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Qualify all tables
Alias all primary key fields
Left join the Customer data onto the Sales table
Qualify all tables and then unqualify all key fields
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Qualify both tables and Unqualify all shared fields
Left join the Budgeted Sales table onto the fact table using Month as the key
Concatenate Load the Budgeted Sales table into the Actual Sales table loading shared fields as NULL
Create a link table containing the dimensional fields then link each fact table using a concatenated key
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Qualify all the fields in the data model ending with 'ID'
Qualify the fields Name, Address, City, and Country in the Shippers and Suppliers tables
Rename the fields ShipperID in the Shippers table and SupplierID in the Suppliers table
Rename the fields OrderID in the OrderDetails table and SupplierID in the Products table
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Save the target names and values in an external file, load them into a QlikView table, and use a FOR loop to assign the values to variables
Manually create a variable for each value in Expression Overview and maintain them in Expression Overview
Create a Variables tab in the load script and use 30 LET statements to assign the values to variables
Embed the target values into each expression in which they are required
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Create the required expression in each object as needed and edit them in the Expression Overview
Load the text for each expression from a text file into a table in the data model and link it to the fact table
Create a table of indices and expression text and use the index value in place of the expression text in each object
Create a variable for each expression that contains the expression text and use the variable in place of the expression in each object
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The Fax field has NULL values for 24 percent of the records.
The Fax field has blanks for 24 percent of the records.
The Fax field has 76 percent incomplete/invalid fax numbers.
On average, 76 percent of the Fax field values are non-spaces.
The longest Fax value is 76 percent of the assigned field length.
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The legacy report calculates the total customer occurrences, while the QlikView report counts only distinct customers.
The legacy report calculates the total customer occurrences, while the QlikView report calculates the customer ranking
The legacy report totals the number of customers correctly, while the QlikView report is dropping records.
The legacy report totals the number of customers correctly, while the QlikView total row is set to Sum of rows.
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LET vNumRows = NoOfRows('TableName'); ECHO 'Resulting Rows = $(vNumRows)';
SET vNumRows = NoOfRows('TableName'); ECHO 'Resulting Rows = $(vNumRows)';
LET vNumRows = NoOfRows('TableName'); PRINT 'Resulting Rows = $(vNumRows)';
SET vNumRows = NoOfRows('TableName'); Response.Write 'Resulting Rows = $(vNumRows)';
LET vNumRows = NoOfRows('TableName'); TRACE 'Resulting Rows = $(vNumRows)';
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Place a Go To Exit statement after each block of revised script code, run the script, and comment each successive Go To Exit after a successful run
Move each revised tab in succession to the second tab position, place an Exit Script statement at the end of the tab script, and run the script
Open the QlikView Debugger and use the Step button to execute each line of the script
Open the QlikView Debugger and use Limited Load to execute the script
Change the script to use an Inner Join instead of Left Join
Change the QUALIFY * command to list out only the fields that need to be qualified
Change the Left Join command to include the name of the table being joined enclosed in parentheses
Change the DepartmentID field in the SalesPerson table to match the qualified field name of DepartmentID in the Department table
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When loaded, the SalesPerson table is auto concatenated to Customer and does not exist when referenced.
The Left Join statement fails to correctly bracket the referenced table name, such as Left Join ([SalesPerson]).
The Left Join statement fails to correctly quote the referenced table name, such as Left Join ("SalesPerson").
There is an error in the Customer table load and it is not created in memory.
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Create a series of QVWs that apply the business rules and then binary load them into the presentation layer QVW
Create the presentation layer QVW and connect directly to the source data and apply the business rules in the script
Create QVDs of the source data and load them into the presentation layer QVW and apply the business rules in the script
Create QVDs of the source data, apply the business rules and store a second layer of QVDs, and then load these QVDs into the presentation layer QVW
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The statement 'Directory s. \userfiles\*;' preceding the Load statement
The 'Wildcard Load' feature by setting the 'File Location' in Document Properties
'Load * From [s. \userfiles\data*.txt] (ansi, txt, delimiter is '\t', embedded labels);'
'Load * From_Field (s. \userfiles\, 'data*.txt') (ansi, txt, delimiter is '\t', embedded labels);'
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Using a QlikView script to store an accumulation of periodic snapshots to a table in the source database
Using a QVD file to store an accumulation of periodic snapshots from the source database
Using a QVX file to store an accumulation of periodic snapshots from the source database
Using a QlikView script to store an accumulation of periodic snapshots to an XML file
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A preceding load statement when loading the product catalog quarterly from the customer's database
The BUFFER statement when loading the product catalog quarterly from the customer's database
A mapping table when loading the product catalog quarterly from the customer's database
A QVD file to store the product catalog quarterly from the customer's database
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Identically to all table linkages created in a relational database
On a field called ".id" created by the developer in every table
On an identically named field in both the fact table and the dimension table
By manually setting the field property Keyfield on one field in both the fact table and the dimension table
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98 percent of the orders have customers in the data, but only 2 percent of the orders have been shipped
2 percent of the orders have customers in the data, but 100 percent of the customers have placed an order
100 percent of customers are defined in the Customer table, but 2 percent of the customers have not placed an order
98 percent of the customers are defined in the Customer table, but 2 percent of the customers have not placed an order
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One table named Employees_US
One table named Employees_UK
Two tables named Employees_US and Employees_UK with no associations
Two tables named Employees_US and Employees_UK with a synthetic key
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A Resident Load and Peek, to determine the minimum and maximum dates and then AutoGenerate to create a master calendar
The today() function, to determine the required date range and use an Inline load to generate the master calendar
Peek, when loading the Sales data, to create records within the Sales data table for dates with no sales
Calculated dimensions in Chart Objects and expressions in List Boxes, to generate the required dates
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Load the Address Book records and perform a Left Join of the Excel data to the Address Book table
Load the Excel data and then load the Address Book data ensuring the Country Code field has the same name in both tables
Load the Excel data as a Mapping table and use Applymap with a default mapping value when loading the Address Book table
Load the Excel data, then load the Address Book data using an If function to default Country Code to US, and then use the Peek function to retrieve the Country description
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Previous
Match
Exists
In
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Designate one of the date fields as the reference Build a calendar spanning the minimum and maximum dates in that table Rename all other date fields to match the reference field Left join the location ID from each table into the calendar table on the date fields Drop the location and date fields from all other tables
Find the minimum and maximum dates spanned by all tables Create a calendar spanning those dates Rename all other date fields to match the reference field Left join the location ID from each table into the calendar table on the date fields Drop the location and date fields from all other tables
Designate one of the date fields as the reference Build a calendar spanning the minimum and maximum dates in that table Rename all other date fields to match the reference field Create a link table with a key of Location and date that contains all unique locations and dates Create a key of location and date in the other tables
Find the minimum and maximum dates spanned by all tables Create a calendar spanning those dates Create a link table with a key of location and date that contains all unique locations and dates Create a key of location and date in the other tables Drop the location and date fields from all other tables
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five rows and three fields
five rows and two fields
Four rows and three fields
Four rows and two fields
Two rows and three fields
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Inner Join
Left Join
Right Join
Outer Join
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All field names must start with a $ sign.
All field names must be written in uppercase.
The field Access must be the first field loaded.
The fields Access, User, and Password must be loaded.
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0
3500
4500
5000
Rank( [Ticket Severity], [Severity Weight] ) AS [Ticket Severity]
Num( [Severity Weight], [Ticket Severity] ) AS [Ticket Severity]
Sort( [Ticket Severity], [Severity Weight] ) AS [Ticket Severity]
Dual( [Ticket Severity], [Severity Weight] ) AS [Ticket Severity]
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Go to View menu > Resize Window > 1280 x 800
Go to View menu > Fit Zoom to Window > 1280 x 800
Go to Settings menu > User Preferences > Design Tab and select 1280 x 800
Go to Settings menu > User Preferences > Design Tab and select Display Grid Lines
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