New (2024) Qlik QSDA2022 Exam Dumps
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Qlik QSDA2022 Certification Exam is an essential certification for individuals who want to validate their expertise in Qlik Sense data architecture. It provides professionals with a competitive edge in the job market and demonstrates their commitment to professional development. QSDA2022 exam covers a broad range of topics, and candidates can prepare using various resources offered by Qlik.
Qlik Sense is a leading data analytics and visualization platform that helps organizations make data-driven decisions. The QSDA2022 certification exam is an excellent way for individuals to demonstrate their expertise in data architecture and their ability to design and implement effective data models and integration solutions using Qlik Sense. By passing the exam, individuals can enhance their career prospects and become more competitive in the job market.
To take the QSDA2022 exam, candidates must have a solid understanding of Qlik Sense data architecture and data modeling. They should also have hands-on experience with Qlik Sense, including designing and developing data models, working with data transformations and data cleansing, and optimizing data models for performance. Candidates can prepare for the exam by taking Qlik's official training courses, studying the exam objectives, and practicing with sample questions.
NEW QUESTION # 37
Refer to the exhibit.
What are the values of the variables vLoadStart and vLoadComplete after the script executes?
- A. vLoadStart; 'NOW{)'
vLoadComplete: current system date and time when the script ended - B. vLoadStart: system date when the app was opened vLoadComplete: current system date and time when the script ended
- C. vLoadStart: system date when the app was opened vLoadComplete 'now()'
- D. vLoadStart: current system date and time when the script started vLoadComplete: 'now()'
Answer: D
Explanation:
Explanation
vLoadStart variable is assigned the current system date and time when the script starts, and vLoadComplete variable is assigned the current system date and time when the script ends.
NEW QUESTION # 38
A data architect needs to revise an existing app.
The number of data rows has grown rapidly recently. While the app is in production, users are becoming increasingly unhappy about the response times when they make selections Which two methods should be used toimprove performance? (Select two.)
- A. Use flags in the data model to simplify set analysis
- B. Denormalize the schema
- C. Make sure any Ul variables are preceded by '='
- D. Create master items for all complex expressions
- E. Use dynamic script generation with variables
Answer: A,E
NEW QUESTION # 39
The Marketing department is using some similar KPIs in different apps that need to be modified frequently according to the business needs. The KPIs are created using master items with the same expression.
Which method should the data architect use to manage the modifications in all apps?
- A. Create a variable repository and load them using INCLUDE statements in the apps where needed
- B. Create a selection app with all the master items and use an on-demand app generation method.
- C. Create only a single app with allthe master items needed and protect it with SECTION ACCESS.
- D. Create a core app with all the master items needed and use a BINARY load in the other apps.
Answer: A
Explanation:
Explanation
This method allows the data architect to store the KPIs in a single repository and then use INCLUDE statements to load them into the other apps. This makes it easy to modify the KPIs inone place and have the changes reflected in all the apps.Source: Qlik A variable repository is a centrallocation where all of the master items used in the apps can be stored and managed. By creating a variable repository and loading the master items into each app using INCLUDE statements, the data architect can make modifications to the master items in oneplace, and the changes will be automatically propagated to all of the apps that use the master items.
This method allows for easy management of the master items and eliminates the need to make changes to each app individually, which can be time-consuming and prone to errors.
NEW QUESTION # 40
A data architect needs to build an Order Fulfillment app. The business requires front-end performance is optimized.
The OrderDate and ShipmentDate are located in different tables.
The user needs to identify thedata type and must be able to:
* Show trends for orders and shipments
* Use a single filter for both date fields
* Analyze data over fiscal periods
Which steps should the data architect take to build the data model?
- A. 1. Create a master calendar table as a data island
2. Create a single filter using fields from the master calendar - B. 1. Create a master calendar andjoin into the Shipments and Orders table
2. Create a single filter using fields from the Shipments table - C. 1. Create a link table with master calendar fields
2. Create a single filter using fields from the master calendar - D. 1. Load the Shipments and Orders table via the data manager
2. Create a single filter using fields from the Orders table
Answer: C
NEW QUESTION # 41
Refer to the exhibit.
A data architect loads sales data and creates a table which shows only customers who made purchases in 2018 and 2019. The data architect applies the following set analysis expression on the sales measure.
Count<{<Year={'2 018'}, CustomerID=P({<Year={'2019*}>})>} Customer ID)
Which option shows the resulting table after the expression is applied?
A)
B)
C)
D)
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: D
NEW QUESTION # 42
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 containing Customer, Month. Sales, and Budget columns.
What does the data architect see when selecting a month?
- A. Customer and Budget records for that month, but missing values for Sales
- B. Customer and Sales records for that month, but missing values for Budget
- C. Customer, Sales, and Budget records for that month
- D. All Customers, all Budget and all Sales records
Answer: C
NEW QUESTION # 43
Refer to the exhibit.
A global sales organization operates in three regions: AMERICAS, EMEA: and APAC. Each region stores its sales transactions in a separate database in which the employees update customer data through a third-party app. The data is extracted into three QVDs.
A data architect sets up a two-tier architecture for the data load. The data architect needs to add the region to the data model.
Which technique should the data architect use to create the Region field?
- A. Create a Region field in the SalesTransaction table and create a mapping table based on the Country field in the Customer table
- B. Create a Region field in the Employee table and populate using the LTrim function on the EmployeelD
- C. Create a Region field in the SalesTransaction table and populate using fixed region values while loading from each source
- D. Create a Region field in the Employee table and populate using the SubField function on the EmployeelD
Answer: C
NEW QUESTION # 44 
Refer to the exhibits.
The first table, Mastersports, contains the master list of all sport names that need to be loaded into the app. The second table, TeamMembers, containsthe teams and team members registered for specific sports.
In a Qlik Sense app, a data architect is loading the two tables that need to be linked together based on the Sport field. The table format cannot be changed in the source.
What should the dataarchitect do in the data load editor?
- A. Apply a preceding LOAD to the MasterSports table with the SUBFIELD function to create the Sport field
- B. Apply a preceding LOAD from the TeamMembers table with the SUBFIELD function and rename the field to Sport
- C. Apply a FOR loop to load to the MasterSports table creating the values for the Sport field
Answer: C
NEW QUESTION # 45
Refer to the exhibit.
A business department is forecasting revenue within an Excel spreadsheet.
A data architect needs to include this forecast into the existing data model, and without losing any data.
Which two sets of steps will meet these requirements? (Select two.)
- A. 1 Load the Excel spreadsheet using the data load editor
2. Change the sort order by date
3. Create a composite key out of the forecast and region 4 Connect to the existing data model - B. 1. Load the Excel spreadsheet using the data load editor
2 Use the Crosstable function to unpivot the table
3 Create a composite key out of the date and region
4 Connect the new table to the data model - C. 1. Load the Excel spreadsheet using the data load editor
2. Use the Unpivot function
3 Use the Sum function to group the forecast by date
4 Connect to the existing data model - D. 1 Load the Excel spreadsheet into the data manager
2. Use the Unpivot function
3. Create a composite key from the date and region
4. Connect the new table to the data model
1 Load the Excel spreadsheet using the data manager
2 Rename the ForecastDate field to Date 3. Disable the Region
4 Connect to the existing data model
Answer: B,D
Explanation:
Explanation
Option B involves loading the Excel spreadsheet using the data load editor and then using the Crosstable function to unpivot the table, creating a composite key out of the date and region, and connecting the new table to the existing data model. Option D involves loading the Excel spreadsheet using the data manager, using the Unpivot function, creating a composite key from the date and region, and connecting the new table to the existing data model.
NEW QUESTION # 46
Refer to the exhibit.
Refer to the exhibits.
While using an app, the users report that some Sales Reps do NOT have personal details, like Division or Address Number A data architect has been called in to investigate.
The data architect uses the data model viewer to determine the relationship between the SalesRepMaster and CustomerMaster tables.
What is the cause of the issue?
- A. 26 values for Sales Rep are null in CustomerMaster
- B. Density is 100% while Total Distinct and Present Distinct are NOT the same
- C. 59.3% of the Sales Rep have CustomerMaster information
- D. 40.7% of the Sales Rep have CustomerMaster information
Answer: B
Explanation:
Explanation
When using the data model viewer to investigate the relationship between the SalesRepMaster and CustomerMaster tables, the data architect would look at the density of the relationship. Density is a measure of how well the key fields of a table match the key fields of another table. A density of 100% means that all key fields in one table have a match in the other table.
When the density is 100% but the total distinct and present distinct values for the key fields of the related tables do not match, it means that some of the key fields in one table do not have a match in the other table, this is the cause of the issue.
NEW QUESTION # 47
Refer to the exhibit.
This table contains information about the number of admissions and discharges of patients in a hospital. The values can be positive or negative. The data architect needs to create an extra column that contains the number of patients that are currently in the hospital.
Which script should the data architect use ?
A)
B)
C)
D)
- A. Option D
- B. Option A
- C. Option B
- D. Option C
Answer: B
NEW QUESTION # 48 
Refer io the exhibit.
A data architect needs to modify the script to ONLY load rows from Table_B when Field_1 and Field_2 are the same as in Table_A. (For example, only the row containing A, 1, 456 should be loaded from Table_B.) Which script should the data architect use?
A)
B)
C)
D)
- A. Option D
- B. Option B
- C. Option A
- D. Option C
Answer: B
NEW QUESTION # 49
A data architect needs to write theexpression for a measure on a KPI to show the sales person with the highest sales The sort order of the values of the fields is unknown When two or more sales people have sold the same amount, the expression should return all of those sales people Which expression should the data architect use?
- A. Concat(DISTINCT IF (Aggr (Rank (Sum (Sales) , 4) , Salesperson) =1, Salesperson) , ' ')
- B. Concat (DISTINCT IF (Aggr (Rank (Sum (Sales) , 1) , Salesperson) =1, Salesperson) , ' ')
- C. FirstSortedValue (DISTINCT Salesperson, -Aggr (Sum(Sales) , Salesperson) )
- D. FirstSortedValue (Salesperson, -Aggr (Sum(Sales) , Salesperson) )
Answer: B
NEW QUESTION # 50
A data architect completes development of a new app with two data sources Both data sources will also be used by other apps in the future The sources have different data refresh frequencies
* Source 1 Contains frequently updated data and must be refreshed hourly
* Source 2 Contains data that is transferred from a partner and must be refreshed weekly Tasks must be created to load the data sources and make sure that the new app uses the most current data The data will be stored in two QVDs Which tasks should be created to meet these requirements'?
- A. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs - B. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3 Schedule a task for the app that is dependent on completion of Tasks 1 and 2 that loads the two QVDs - C. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs - D. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Tasks 1 or 2 that loads the two QVDs
Answer: B
Explanation:
Explanation
This option ensures that the data in the two data sources is always up-to-date by scheduling the data refresh tasks to run at the appropriate frequencies. Task 1 runs hourly to refresh data from Source 1, and Task 2 is dependent on Task 1 so that it runs only after Task 1 is completed. This ensures that the data from Source 2 is loaded only after the most current data from Source 1 is loaded.
NEW QUESTION # 51
Refer to the exhibits.
Some business users created an app by using the Add data functionality and loading two Excel files Orders and Customers.
The app is used to analyze the number of orders by customer. When the users create a bar chart to review the figures, the data shown is incorrect.
What should the data architect do to resolve this issue?
- A. Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD
- B. Open the data manager, split the Customers table, and associate both tables on CustomerlD field
- C. Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table
- D. Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field
Answer: A
NEW QUESTION # 52
Refer to the exhibit.
The data architect needs to create a KPI that displays the average amount of orders per customer. This aggregated field should be added to the existing orders table Which script should the data architect use?
A)
B)
C)
D)
- A. Option C
- B. Option D
- C. Option A
- D. Option B
Answer: A
NEW QUESTION # 53
A table is generated resulting from the following script
When the data architect selects a date, some, but NOT all, orders for that date are shown How should the data architect modify the script to show all orders for the selected date?
A)
B)
C)
D)
- A. Option C
- B. Option D
- C. Option A
- D. Option B
Answer: A
NEW QUESTION # 54 
Refer to the exhibits.
An app is built to analyze salesperson performance by department. Departments are unique within the Departments table, but Salespeople often move between departments. A strict business rule states that a salesperson must be associated with ONLY one department at all times.
The data architect creates a summary of department performance and notices the values are incorrect. The total sales KPI shows the correct result.
How should the data architect modify the data model to correct this issue?
- A. Join the Transactions and Salespeople tables to resolve the many-to-many relationship
- B. Create a bridge table between the Departments and Salespeople tables to resolve the many-to-many relationship
- C. Join theDepartments and Salespeople tables to resolve the many-to-many relationship
- D. Create a bridge table between the Transactions and Salespeople tables to resolve the many-to-many relationship
Answer: B
NEW QUESTION # 55
A data architect builds a data model for a large user group. Some sheets will be published, and the app will allow users to create their own visualizations and analyze data. Some fields must NOT appear in any field list.
How should a data architect meet these requirements?
- A. Use HidePrefix variable
- B. Use security rules
- C. Use HideField variable
- D. Add fields to master items
Answer: B
Explanation:
Explanation
The best way for a data architect to meet the requirements of not allowing some fields to appear in any field list is to use security rules. Security rules can be used to restrict access to certain fields, which will ensure that they don't appear in any field list or visualization. Additionally, security rules can also be used to restrict access to certain data models, ensuring that only users with the right permissions can view and analyze the data.
Row-level security (RLS) with Power BI - Power BI | Microsoft Learn
https://learn.microsoft.com/en-us/power-bi/enterprise/service-admin-rls What Is Data Visualization? Definition & Examples | Tableau
https://www.tableau.com/learn/articles/data-visualization
80+ Top Power BI Interview Questions and Answers [Updated 2023]
https://www.edureka.co/blog/interview-questions/power-bi-interview-questions/
NEW QUESTION # 56 
Refer to the exhibits.
The first table shows the source table (Original table).
This data represents the stocks stored every month for each product:
* The relevant fields are productid, qty, and date.
* The date field represents the calendar months using
* The qty field shows the product stock fluctuation from the current month versus the previous month. If there is no fluctuation between months, there are no new entries in the table.
The second table shows a Pivot table visualization the data analyst needs to create in the app displaying per each product the monthly trend of available stock.
For performance reasons, the data analyst requests the data architect to calculate the running stock quantity of each product for every month in the script.
Which approach should the data architect use?
- A. 1 Generate a Calendar table with all dates between the minimum and maximum date values in an Original table
2. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values - B. 1. Generate a Cartesian JOIN between productid and date in a Combined table
2. LEFT JOIN the Combined table with theOriginal table to populate the missing qty values
3. Use PREVIOUSO and SUM() functions to create the running quantity totals for each product for every month - C. 1. Generate a Calendar table with all dates between the minimum and maximum date values in an Original table
2. RIGHT JOIN the Calendar table back to the Original table to populate the missing qty values
3. Use PEEK() and RANGECOUNTO functions to create the running quantity totals for each product for every month - D. 1 Generate a Cartesian JOIN between productid and date in a Combined table
2 RIGHT JOIN the Combined table with the Original table to populate the missing qty values
3. Use PREVIOUS() and RANGESUMQ functions to create the running quantity totals for each product for every month
Answer: A
NEW QUESTION # 57
A data architect plans to build an app that contains geographically diverse data that must be specific to user run-time selections. The source contains transactional data. The app must have minimal impact on already limited server resources.
Which approach should the data architect use?
- A. In-memory
- B. Loop and Reduce
- C. QVDs
- D. ODAG
Answer: C
Explanation:
Explanation
Using QVDs is the best approach for this scenario, as it allows the data to be stored in a highly compressed format, which will have minimal impact on server resources. Additionally, QVDs can be loaded quickly, which allows for faster access to the data based on user run-time selections. The other options, Loop and Reduce, In-memory, and ODAG, are not valid strategies for this scenario.
NEW QUESTION # 58
A data architect needs to develop a script to export tables from a model based upon rules from an independent file. Thestructure 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 existin the model.
In addition, the format will always be QVD, and the copies will be incrementally numbered.
For example, the Customer table would be exported as:
What is the minimum set of scripting strategies the data architect must use?
- A. One loop and one SELECT CASE statement
- B. One loop and two IF statements
- C. Two loops and one IF statement
- D. Two loopswithout any conditional statement
Answer: A
Explanation:
Explanation
The data architect will need to use a single loop to iterate through the rows of the independent filecontaining the export rules. Within the loop, they will need to use a SELECT CASE statement to determine which table in the model to export based on the TableToExport value in the current row of the independent file. They can then use the StoreAsFilenamevalue to determine the target root filename, and the NumberOfCopies value to determine the number of copies to export.
This approach makes use of a single loop to iterate through the rows of the independent file, and a SELECT CASE statement to determine which table to export based on the TableToExport value in the current row. It is the most efficient way to accomplish the task with minimal scripting.
You can find the Qlik scripting documentation for Store statement
here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptPrefixes/Store.htman SELECT CASE statement here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptStatements/Select.htm
NEW QUESTION # 59
A human resources (HR) team manager is due to go on leave. The manager needs to assign permissions to colleague to help the HR team publish apps. Which action(s) should the manager assign to the colleague before going on leave?
- A. Publish
- B. Owner Publish
- C. Publish, Read
- D. Owner Publish, Read
Answer: B
Explanation:
Explanation
The Owner Publish permission allows the colleague to publish apps on behalf of the manager, allowing the HR team to continue to publish apps while the manager is away. The other options, Publish, Owner Publish, Read, and Publish, Read, do not provide the colleague with the necessary permissions to publish apps on behalf of the manager.
NEW QUESTION # 60
Refer to the exhibit.
A data architect has a data model that includes historical order fulfillment centers. The order fulfillment centers occasionally changed location. The history of order fulfillment must be tracked on a per center, per location basis.
Which scripting function should the data architect use to meet this data modeling requirement?
- A. ApplyMap
- B. Inner Join
- C. IntervalMatch
- D. Peek
Answer: A
Explanation:
Explanation
In this scenario, the data architect needs to track the history of order fulfillment centers on a per center, per location basis. This means that the data architect needs to match the historical order fulfillment center data with the current order fulfillment center data, based on the center and location.
The ApplyMap function allows you to create a mapping between the data in one table and the data in another table, based on a common field. The data architect can use ApplyMap to create a mapping between the historical order fulfillment center data and the current order fulfillment center data, based on the center and location fields.
NEW QUESTION # 61
A data architect needs to create an app that combines employee data from the Sales system and the Human Resources (HR) system.
These systems identify employees differently Employees in the HR system are identified with an alpha-numeric key Employees in the Sales system are identified using an integer key.
The Human Resources manager creates a table that maps these keys to another, called Associations.
The resultant data model must meet the following requirements:
* Associations must be valid
* The model must be optimized for performance
* The option must support multiple tables added
Which solution should the data architect use to meet these requirements?
- A. RENAME FIELDS USING Associations;
- B. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;
- C. APPLYMAP ( 'Associations , EmployeeKey ) as Employeekey;
- D. MAP EmloyeeKey USING Associations;
Answer: D
Explanation:
Explanation
The MAP function maps the EmployeeKey in the Sales system to the EmployeeKey in the HR system using the Associations table. This allows the data architect to join the data from the Sales system and the HR system using the same key, ensuring that the associations are valid.
Using the MAP function also optimizes the performance of the data model as it eliminates the need for multiple joins between the data from the Sales and HR systems.
This solution also supports multiple tables added, as the MAP function can be applied to any table that needs to be joined with the HR system data.
NEW QUESTION # 62
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