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QSDA2024 Latest Test Question | QSDA2024 100% Accuracy

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Qlik QSDA2024 Exam Syllabus Topics:

Topic
Details

Topic 1

Validation: This section tests data analysts and data architects on how to validate and test scripts and data. It focuses on selecting the best methods for ensuring data accuracy and integrity in given scenarios.

Topic 2

Data Transformations: This section examines the skills of data analysts and data architects in creating data content based on specific requirements. It also covers handling null and blank data and documenting Data Load scripts.

Topic 3

Data Connectivity: This part evaluates how data analysts identify necessary data sources and connectors. It focuses on selecting the most appropriate methods for establishing connections to various data sources.

Topic 4

Data Model Design: In this section, data analysts and data architects are tested on their ability to determine relevant measures and attributes from each data source.

Topic 5

Identify Requirements: This section assesses the abilities of data analysts in defining key business requirements. It includes tasks such as identifying stakeholders, selecting relevant metrics, and determining the level of granularity and aggregation needed.

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Qlik Sense Data Architect Certification Exam - 2024 Sample Questions (Q44-Q49):

NEW QUESTION # 44
A data architect needs to develop three separate apps (Sales, Finance, and Operations). The three apps share numerous identical calculation expressions.
The goals include:
* Reducing duplicate script
* Saving time on expression modifications
* Increasing reusable Qlik developer assets.
The data architect creates a common script and stores it on a file server that Qlik Sense can access. How should the data architect complete the requirements?

A. Include script function
B. Call batch file
C. Macro on server
D. Execute server script

Answer: A

Explanation:
When developing multiple Qlik Sense applications (Sales, Finance, Operations) that share numerous identical calculation expressions, it is crucial to have a centralized, reusable script to avoid redundancy, save time on modifications, and increase the reusability of the assets.
The best approach in Qlik Sense to achieve these goals is to use theIncludescript function. This function allows the data architect to reference a script file that is stored on a file server. The Include function willinject the contents of the external script file into the Qlik Sense script at the point where the Include statement is called. This means that all three apps (Sales, Finance, Operations) can include this common script, and any updates made to the script will automatically apply to all apps that include it.
This method provides a highly maintainable solution because:
* No Duplicate Script:The shared logic is maintained in a single file, eliminating redundancy.
* Ease of Modifications:Any changes made to the script are propagated to all applications that include it.
* Reusable Assets:The script can be reused across different applications, enhancing efficiency and consistency.

NEW QUESTION # 45
Refer to the exhibit.

A data architect needs to build a dashboard that displays the aggregated sates for each sales representative. All aggregations on the data must be performed in the script.
Which script should the data architect use to meet these requirements?

Answer: C

Explanation:
The goal is to display the aggregated sales for each sales representative, with all aggregations being performed in the script. Option C is the correct choice because it performs the aggregation correctly using a Group by clause, ensuring that the sum of sales for each employee is calculated within the script.
* Data Load:
* The Data table is loaded first from the Sales table. This includes the OrderID, OrderDate, CustomerID, EmployeeID, and Sales.
* Next, the Emp table is loaded containing EmployeeID and EmployeeName.
* Joining Data:
* A Left Join is performed between the Data table and the Emp table on EmployeeID, enriching the data with EmployeeName.
* Aggregation:
* The Summary table is created by loading the EmployeeName and calculating the total sales using the sum([Sales]) function.
* The Resident keyword indicates that the data is pulled from the existing tables in memory, specifically the Data table.
* The Group by clause ensures that the aggregation is performed correctly for each EmployeeName, summarizing the total sales for each employee.
Key Qlik Sense Data Architect References:
* Resident Load: This is a method to reuse data that is already loaded into the app's memory. By using a Resident load, you can create new tables or perform calculations like aggregation on the existing data.
* Group by Clause: The Group by clause is essential when performing aggregations in the script. It groups the data by specified fields and performs the desired aggregation function (e.g., sum, count).
* Left Join: Used to combine data from two tables. In this case, Left Join is used to enrich the sales data with employee names, ensuring that the sales data is associated correctly with the respective employee.
Conclusion:Option C is the most appropriate script for this task because it correctly performs the necessary joins and aggregations in the script. This ensures that the dashboard will display the correct aggregated sales per employee, meeting the data architect's requirements.

NEW QUESTION # 46
exhibit.

A data architect is validating that the script section, as shown in the exhibit, is working properly. They need to stop the script with a preview of the value used with the Load statement.
Where should the data architect put the debugger breakpoint?

Answer: B

Explanation:
In this scenario, the data architect needs to validate the script and specifically ensure that the vMaxDate variable is being correctly utilized in the LOAD statement. The goal is to stop the script execution at a point where the variable's value can be previewed.
Understanding the Options:
* Option Aplaces the breakpoint just after the assignment of the variable vMaxDate in the Where clause but before any data is loaded.
* Option B, C, and Drepresent placements of the breakpoint after the LOAD statement begins processing the Resident table, which means that the variable vMaxDate would have already been utilized.
Correct Breakpoint Placement:
* Option Ais the correct choice because placing the breakpoint at this point allows you to preview the value of vMaxDate right before it is used in the Where clause. This placement ensures that the script execution halts before loading the data, allowing you to validate whether vMaxDate is correctly defined and whether it correctly filters the data based on the [Date] field.
* If the breakpoint were placed after the LOAD statement (as in Options B, C, or D), the script would have already attempted to load the data, making it too late to inspect the variable's value before it's used.
References:
* Qlik Sense Debugging Best Practices: When debugging, it is crucial to set breakpoints before the execution of a critical operation where the values of variables or fields are used to ensure that they hold the expected data.

NEW QUESTION # 47

Refer to the exhibits.
On executing a load script of an app, the country field needs to be normalized. The developer uses a mapping table to address the issue. The script runs successfully but the resulting table is not correct.
What should the data architect do?

A. Use a LEFT JOIN Instead of the APPLYMAP
B. Use LOAD DISTINCT on the mapping table
C. Review the values of the source mapping table
D. Create two different mapping tables

Answer: C

Explanation:
In this scenario, the issue arises from using the applymap() function to normalize the country field values, but the result is incorrect. The reason is most likely related to the values in the source mapping table not matching the values in the Fact_Table properly.
The applymap() function in Qlik Sense is designed to map one field to another using a mapping table. If the source values in the mapping table are inconsistent or incorrect, the applymap() will not function as expected, leading to incorrect results.
Steps to resolve:
* Review the mapping table (MAP_COUNTRY): The country field in the CountryTable contains values such as "U.S.", "US", and "United States" for the same country. To correctly normalize the country names, you need to ensure that all variations of a country's name are consistently mapped to a single value (e.g., "USA").
* Apply Mapping: Review and clean up the mapping table so that all possible variants of a country are correctly mapped to the desired normalized value.
Key References:
* Mapping Tables in Qlik Sense: Mapping tables allow you to substitute field values with mapped values. Any mismatches or variations in source values should be thoroughly reviewed.
* Applymap() Function: This function takes a mapping table and applies it to substitute a field value with its mapped equivalent. If the mapped values are not correct or incomplete, the output will not be as expected.

NEW QUESTION # 48
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?

A. Two loops without any conditional statements
B. One loop and one SELECT CASE statement
C. Two loops and one IF statement
D. One loop and two IF statements

Answer: D

Explanation:
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.

NEW QUESTION # 49
......

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