Qlik QSDA2024 Qlik Sense Data Architect Certification Exam - 2024 Exam Practice Test

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Question 1

A data architect needs to develop a script to export tables from a model based upon rules from an independent file. The structure of the text file with the export rules is as follows:

These rules govern which table in the model to export, what the target root filename should be, and the number of copies to export.

The TableToExport values are already verified to exist in the model.

In addition, the format will always be QVD, and the copies will be incrementally numbered.

For example, the Customers table would be exported as:

What is the minimum set of scripting strategies the data architect must use?

AOne loop and two IF statements

BOne loop and one SELECT CASE statement

CTwo loops and one IF statement

DTwo loops without any conditional statements

Answer : A

In the provided scenario, the goal is to export tables from a Qlik Sense model based on rules specified in an external text file. The structure of the text file indicates which table to export, the filename to use, and how many copies to create.

Given this structure, the data architect needs to:

Loop through each row in the text file to process each table.

Use an IF statement to check whether the specified table exists in the model (though it's mentioned they are verified to exist, this step may involve conditional logic to ensure the rules are correctly followed).

Use another IF statement to handle the creation of multiple copies, ensuring each file is named incrementally (e.g., Clients1.qvd, Clients2.qvd, etc.).

Key Script Strategies:

Loop: A loop is necessary to iterate through each row of the text file to process the tables specified for export.

IF Statements: The first IF statement checks conditions such as whether the table should be exported (based on additional logic if needed). The second IF statement handles the creation of multiple copies by incrementing the filename.

This approach covers all the necessary logic with the minimum set of scripting strategies, ensuring that each table is exported according to the rules defined.

Question 2

A startup company is about have its Initial Public Offering (IPO) on the New York Stock Exchange.

This startup company has used Qlik Sense for many years for data-based decision making for Sales and Marketing efforts, as well as for input into Financial Reporting. The startup's Qlik Sense applications use variables that have different values at different points in time.

Due to the increased rigor required in record keeping for public companies, these variables must be clearly recorded in the script reload logs of the Qlik Sense applications. These logs are refreshed daily.

The data architect wants to have the variables names, with their current values, written into the script reload logs. Which script statement should the data architect use?

ALogDetail

BTrace

CTag

DREM

Answer : B

In the scenario where the startup company is preparing for an IPO, there is an increased need for meticulous record-keeping, including the recording of variable values used in Qlik Sense applications. The TRACE statement is the most suitable option for logging variable values during script execution.

TRACE: This statement writes custom messages, including variable values, to the script execution log. By using TRACE, you can ensure that every reload log contains the names and current values of all relevant variables, providing the necessary transparency and traceability.

For example, the script could include:

TRACE $(VariableName);

This command will output the variable's value in the script log, ensuring it is recorded for audit purposes.

Question 3

The data architect has been tasked with building a sales reporting application.

* Part way through the year, the company realigned the sales territories

* Sales reps need to track both their overall performance, and their performance in their current territory

* Regional managers need to track performance for their region based on the date of the sale transaction

* There is a data table from HR that contains the Sales Rep ID, the manager, the region, and the start and end dates for that assignment

* Sales transactions have the salesperson in them, but not the manager or region.

What is the first step the data architect should take to build this data model to accurately reflect performance?

AImplement an 'as of calendar against the sales table and use ApplyMap to fill in the needed management data

BCreate a link table with a compound key of Sales Rep / Transaction Date to find the correct manager and region

CUse the IntervalMatch function with the transaction date and the HR table to generate point in time data

DBuild a star schema around the sales table, and use the Hierarchy function to join the HR data to the model

Answer : C

In the provided scenario, the sales territories were realigned during the year, and it is necessary to track performance based on the date of the sale and the salesperson's assignment during that period. The IntervalMatch function is the best approach to create a time-based relationship between the sales transactions and the sales territory assignments.

IntervalMatch: This function is used to match discrete values (e.g., transaction dates) with intervals (e.g., start and end dates for sales territory assignments). By matching the transaction dates with the intervals in the HR table, you can accurately determine which territory and manager were in effect at the time of each sale.

Using IntervalMatch, you can generate point-in-time data that accurately reflects the dynamic nature of sales territory assignments, allowing both sales reps and regional managers to track performance over time.

Question 4

A data architect needs to upload data from ten different sources, but only if there are any changes after the last reload. When data is updated, a new file is placed into a folder mapped to E:\486396169. The data connection points to this folder.

The data architect plans a script which will:

1. Verify that the file exists

2. If the file exists, upload it Otherwise, skip to the next piece of code.

The script will repeat this subroutine for each source. When the script ends, all uploaded files will be removed with a batch procedure. Which option should the data architect use to meet these requirements?

AFilePath, FOR EACH, Peek, Drop

BFileSize, IF, THEN, END IF

CFilePath, IF, THEN, Drop

DFileExists, FOR EACH, IF

Answer : D

In this scenario, the data architect needs to verify the existence of files before attempting to load them and then proceed accordingly. The correct approach involves using the FileExists() function to check for the presence of each file. If the file exists, the script should execute the file loading routine. The FOR EACH loop will handle multiple files, and the IF statement will control the conditional loading.

FileExists(): This function checks whether a specific file exists at the specified path. If the file exists, it returns TRUE, allowing the script to proceed with loading the file.

FOR EACH: This loop iterates over a list of items (in this case, file paths) and executes the enclosed code for each item.

IF: This statement checks the condition returned by FileExists(). If TRUE, it executes the code block for loading the file; otherwise, it skips to the next iteration.

This combination ensures that the script loads data only if the files are present, optimizing the data loading process and preventing unnecessary errors.

Question 5

Exhibit.

Refer to the exhibit.

A data architect is working on a Qlik Sense app the business has created to analyze the company orders and shipments.

To understand the table structure, the business has given the following summary:

* Every order creates a unique orderlD and an order date in the Orders table

* An order can contain one or more order lines one for each product ID in the order details table

* Products In the order are shipped (shipment date) as soon as they are ready and can be shipped separately

* The dates need to be analyzed separately by Year, Month, and Quarter

The data architect realizes the data model has issues that must be fixed. Which steps should the data architect perform?

A1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Shipments table
2. Delete the ShipmentID in the Orders table
3. Delete the ProductID and OrderlD in the Shipments table
4. Left join Orders and OrderDetails
5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate

B1. Create a key with OrderlD and ProductID In the OrderDetails table and in the Orders table
2. Delete the ShipmentID in the Shipments table
3. Delete the ProductID and OrderlD in the OrderDetails table
4. Concatenate Orders and OrderDetails
5. Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate

C1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Shipments table
2. Delete the ShipmentID in the Orders table
3. Delete the ProductID and OrderlD In the Shipments table
4. Concatenate Orders and OrderDetails
5. Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate

D1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Orders table
2. Delete the ShipmentID in the Shipments table
3. Delete the ProductID and OrderlD in the OrderDetails table
4. Left join Orders and OrderDetails
5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate

Answer : C

In the given data model, there are several issues related to table relationships and key fields that need to be addressed to create a functional and optimized data model. Here's how each step in the chosen solution (Option C) resolves these issues:

Create a key with OrderID and ProductID in the OrderDetails table and in the Shipments table:

By creating a composite key with OrderID and ProductID, you uniquely identify each line item in both the OrderDetails and Shipments tables. This step is crucial for ensuring that each product within an order is correctly associated with its respective shipment.

Delete the ShipmentID in the Orders table:

The ShipmentID in the Orders table is redundant because the Shipments table already captures this information at a more granular level (i.e., at the product level). Removing ShipmentID avoids potential circular references or synthetic keys.

Delete the ProductID and OrderID in the Shipments table:

After creating the composite key in step 1, the individual ProductID and OrderID fields in the Shipments table are no longer necessary for joins. Removing them reduces redundancy and simplifies the table structure.

Concatenate Orders and OrderDetails:

Concatenating Orders and OrderDetails into a single table creates a unified table that contains all necessary order-related information. This helps in simplifying the model and avoiding issues related to managing separate but related tables.

Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate:

A link table is created to associate the combined table with the MasterCalendar. By creating a concatenated field that combines OrderDate and ShipmentDate, you ensure that both dates are properly linked to the calendar, allowing for accurate time-based analysis.

Question 6

A data architect wants reflect a value of the variable in the script log for tracking purposes. The variable is defined as:

Which statement should be used to track the variable's value?

AOption A

BOption B

COption C

DOption D

Answer : B

In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be used to ensure that the variable's value is evaluated and displayed correctly.

The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and its value is stored.

When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable's value is expanded before being printed. This is done using the $() expansion syntax.

The correct syntax is TRACE #### $(vMaxDate) ####; which evaluates the variable vMaxDate and inserts its value into the log output.

Key Qlik Sense Data Architect Reference:

Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert the value of the variable into expressions or statements. This is crucial when you want to output or use the value stored in a variable.

TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly used for debugging purposes to track the flow of script execution or to verify the values of variables during script execution.

Question 7

Exhibit.

Refer to the exhibit.

The data architect needs to build a model that contains Sales and Budget data for each customer. Some customers have Sales without a Budget, and other customers have a Budget with no Sales.

During loading, the data architect resolves a synthetic key by creating the composite key.

For validation, the data architect creates a table that contains Customer, Month, Sales, and Budget columns.

What will the data architect see when selecting a month?

ACustomer Names and Sales records for the selected month, Budgets column can contain null or non-null values

BAll Customer Names for both Sales and Budget records for the selected month

CCustomer Names and Sales records for the selected month but with only non-null values in Budget column

DCustomer Names and Budaets records for the selected month. Sales column can contain null or non-null values

Answer : A

In the scenario where the data model is built with a composite key (keyYearMonthCustNo) to resolve synthetic keys, the following outcomes occur:

Sales and Budget Data Integration:

The composite key ensures that each combination of Year, Month, and Customer is uniquely represented in the combined Sales and Budget data.

During data selection (e.g., when a specific month is selected), Qlik Sense will show all the customer names that have either Sales or Budget data associated with that month.

Resulting Data View:

For the selected month, customers with sales records will display their Sales data. However, if the corresponding Budget data is missing, the Budget column will contain null values.

Similarly, if a customer has a Budget but no Sales data for the selected month, the Sales column will show null values.

Validation Outcome: When the data architect selects a month, they will see the following:

Customer Names and Sales records for the selected month, where the Sales column will have values and the Budget column may contain null or non-null values depending on the data availability.