NEW 2024 Certification Sample Questions QSDA2022 Dumps & Practice Exam
QSDA2022 Deluxe Study Guide with Online Test Engine
The QSDA2022 exam consists of 50 multiple-choice questions that must be completed within 2 hours. QSDA2022 exam covers a wide range of topics, including data modeling, data loading, data transformation, data security, and data analysis. QSDA2022 exam is designed to test an individual's ability to understand and apply the concepts and techniques used in Qlik Sense data architecture.
The QSDA2022 certification exam is designed to test a candidate's knowledge and skills related to Qlik Sense data architecture. Preparing for the exam requires a strong understanding of Qlik Sense data modeling, data loading, and data transformation, as well as experience working with data and designing Qlik Sense applications. Achieving certification demonstrates a candidate's expertise in Qlik Sense data architecture and can help professionals advance their careers in the field of data analytics.
The QSDA2022 certification exam is a proctored exam that is conducted online. QSDA2022 exam consists of 50 multiple-choice questions that need to be answered within a time limit of 120 minutes. QSDA2022 exam is available in multiple languages, including English, Spanish, French, German, and Japanese.
NEW QUESTION # 39
Refer to the exhibit.
A data architect is working with an app and creates some visualizations to check the data. Some visualizations showissues in the data set.
* The Sales by Country table shows a total OrderValue of 18,300 sales while the KPI shows a total OrderValue of 20,600.
* The Sales monthly trend bar chart does not work with the Month field.
Which two data issues should the data architect fix in the app? (Select two.)
- A. The OrderDate field values in the Calendar table do not match with the values in the OrderDate field from the Orders table
- B. In the Orders table, some CustomerlD values are null because there are orders with no customer.
and needs to be incorporated in the table using the Calendar table, null because there are orders with no customer - C. The Month field does not exist in the Orders table and needs to be incorporated in the table using he Calendar table.
- D. In the Orders table, some values in the CustomerlD field do not exist in the Customers table.
Answer: A,D
NEW QUESTION # 40
A data architect needs to efficiently prepare a data model for a meeting in an hour.
The data source to be used contains five date fields The app needs to display sales trends and compare the current year to date (CYTD) to last year to date (LYTD) The appis NOT going to be published It will only be used for this meeting and a single user's ad-hoc analysis.
What should the data architect do to meet these requirements?
- A. Create five master calendars
- B. Create a canonical calendar
- C. Use the data manager
- D. Load a calendar island
Answer: B
NEW QUESTION # 41
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. All Customers, all Budget and all Sales records
- B. Customer and Budget records for that month, but missing values for Sales
- C. Customer, Sales, and Budget records for that month
- D. Customer and Sales records for that month, but missing values for Budget
Answer: C
NEW QUESTION # 42
A data architect is building a model to show trends in visualizations across seven date fields. The seven date fields reside in different tables. The data architect must efficiently build this data model.
Requirements:
* A single date selector
* Show all dates, even those with NO activity
* Minimize the impact on server resources and p
Which two solutions should the data architect use? (Select two.)
- A. Generic load
- B. Data island
- C. Multiple calendars
- D. Canonical calendar
- E. Link table
Answer: D,E
Explanation:
Explanation
A canonical calendar should be used to create a single date selector that can be used to show all dates, even those with no activity. A link table should be used to join the seven date fields from different tables, which willminimize the impact on server resources and performance.Source: Qlik
NEW QUESTION # 43
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. Two loops and one IF statement
- B. Two loopswithout any conditional statement
- C. One loop and one SELECT CASE statement
- D. One loop and two IF statements
Answer: C
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 # 44 
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 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 - B. 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 - 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: B
NEW QUESTION # 45
A data architect of an organization that has implemented Qlik Sense on Windows needs to load large amounts of data from a database that is continuously updated New records are added, and existing records get updated and deleted. Each record has a LastModified field.
All existing records are exported into aQVD file. The data architect wants to load the records into Qlik Sense efficiently.
Which steps should the data architect take to meet these requirements?
- A. 1. Load the existing data from the QVD
2. Load new andupdated data from the database Concatenate with the table loaded from the QVD.
3. Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records - B. 1. Use a partial LOAD to load new and updated data from the database.
2.Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records
3. Use the PEEK function to remove the deleted rows - C. 1 Load the existing data from the QVD
2. Load the new and updated data from the database without the rows that have just been loaded from the QVD and concatenate with data from the QVD
3. Load all records from the key field from the database and use an INNER JOIN on the previous table - D. 1 Load the new and updated data fromthe database.
2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records.
3. Load all records from the key field from the database and use an INNER JOIN onthe previous table.
Answer: D
NEW QUESTION # 46
Refer to the exhibit.
What are the values of the variables vLoadStart and vLoadComplete after the script executes?
- A. vLoadStart: system date when the app was opened vLoadComplete 'now()'
- B. vLoadStart; 'NOW{)'
vLoadComplete: current system date and time when the script ended - C. vLoadStart: current system date and time when the script started vLoadComplete: 'now()'
- D. vLoadStart: system date when the app was opened vLoadComplete: current system date and time when the script ended
Answer: C
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 # 47
Refer to the exhibit.
A data architect is loading the tables and a synth key is generated.
How should the data architect resolve the synthetic key?
- A. Remove the LineNo field from both tables and use the AutoNumberfunction on the OrderlC field
- B. Create a composite key using OrdertD and LineNo
- C. Remove the LineNo field from Shipments and use the AutoNumber function on the
- D. Create a composite key using OrderlD and LineNo. and remove OrderlD and LineNo from Shipments
Answer: D
NEW QUESTION # 48
Refer to the exhibit.
USER1 has an app protected using this Section Access statement.
Which countries can USER1 see in the app''
- A. Italy, The Netherlands
- B. Germany. Italy, United Kingdom, The Netherlands
- C. Germany Italy, The Netherlands
- D. Italy, United Kingdom, The Netherlands
Answer: D
NEW QUESTION # 49
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. Peek
- B. IntervalMatch
- C. Inner Join
- D. ApplyMap
Answer: D
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 # 50 
Refer to the exhibit
A data architect develops an app for Coffee4all, a coffee company with stores located throughout Europe The script runs successfully, but the Stores table does not have any values.
What should the data architect do?
- A. Use where exists (ID)
- B. Use where exists (ID, StorelD)
- C. Use Concatenate before loading the Stores table
Answer: A
NEW QUESTION # 51
A data architect executes the following script:
Whatwill be the result of Table A?
A)
B)
C)
D)
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: D
NEW QUESTION # 52
A dataarchitect needs to load data from two different databases Additional data will be added from a folder that contains QVDs. text files, and Excel files.
What is the minimum number of data connections required?
- A. Three
- B. Five
- C. Four
- D. Two
Answer: A
NEW QUESTION # 53
Refer to the exhibits.
A music teacher needs to know which artists are eligible to enter this year's competition.
The teacher needs to find only the artists who have a music grade rank above two and play more than one instrument.
Which expression is needed for the Number of Instruments measure in the table?
- A. Count({S<Count(Instrument)={">=2"}, Grades={">2"}>}Instrument)
- B. Count({$<Artist={"=Count(Instrument)>=2"}, Artist={"=Grade>2"}>}Instrument)
- C. Count ({S<Artist={"=Count(Instrument)>=2M}, Grades={">2"}>}Instrument)
- D. Count({$<Instrument={">=2"}, Artist={"=Grade>2"}>}Instrument)
Answer: B
Explanation:
Explanation
The correct expression to use for the Number of Instruments measure in the table is Option A.
This expression will count the number of instruments played by artists with a music grade rank greater than two.
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https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/how-to-build-a-data-architecture-to-drive- Big data in healthcare: management, analysis and future prospects ...
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NEW QUESTION # 54
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. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;
- B. APPLYMAP ( 'Associations , EmployeeKey ) as Employeekey;
- C. MAP EmloyeeKey USING Associations;
- D. RENAME FIELDS USING Associations;
Answer: C
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 # 55
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 link table with master calendar fields
2. Create a single filter using fields from the master calendar - C. 1. Create a master calendar andjoin into the Shipments and Orders table
2. Create a single filter using fields from the Shipments table - D. 1. Load the Shipments and Orders table via the data manager
2. Create a single filter using fields from the Orders table
Answer: B
NEW QUESTION # 56
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 D
- B. Option C
- C. Option B
- D. Option A
Answer: B
NEW QUESTION # 57
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. Owner Publish
- B. Publish
- C. Publish, Read
- D. Owner Publish, Read
Answer: A
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 # 58
A data architect wants to combine data on present and historic sales performance.
The historic data is stored in a de-normalized archive, and the present data is maintained in a database.
The output must be contained in a single table.
Which script should the data architect use?
- A.
- B.
- C.
- D.
Answer: A
NEW QUESTION # 59
Refer to the exhibit.
A data architect is loading the tables and a synthetic key is generated.
How should the data architect resolve the synthetic key?
- A. Remove the LineNo field from both tables and use the AutoNumber function on the OrderlD field
- B. Create a composite key using OrderlD and LineNo
- C. Create a composite key using OrderlD and LineNo, and remove OrderlD and LineNo from Shipments
- D. Remove the LineNo field from Shipments and use the AutoNumber function on the OrderlD field
Answer: B
Explanation:
Explanation
This is the recommended approach to resolving synthetic keys, as it allows you to maintain the integrity of the data by combining two or more fields into a single key. The composite key can then be used to join the two tables together, ensuring that the data is consistent and accurate.
NEW QUESTION # 60 
Refer to the exhibit.
A data architect is loading two tables: Orders and Product. The Product table includes attributes and values for each ProductID such as Colour, Price, Category, and Description.
The business analyst can filter by the value of these attributes. For performance reasons, the Data Model will use two tables.
Which solution should the data architect apply in the Data Load Editor to build the ProductDetails table?
For performance reasons, the Data Model will use two tables a Load Editor to build the ProductDetails table?
- A. Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together
- B. Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table
- C. Use a Generic Loadin the Product table and a For loop to left join each Generic table
Answer: C
NEW QUESTION # 61
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 populate using fixed region values while loading from each source
- 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 Employee table and populate using the SubField function on the EmployeelD
- D. Create a Region field in the SalesTransaction table and create a mapping table based on the Country field in the Customer table
Answer: A
NEW QUESTION # 62
A data architect needs to develop multiple apps for various departments.
More departments are requesting apps over time The company uses specific requirementsfor the number interpretation variables (e.g., ThousandSep, DecimalSep) found at the beginning of a LOAD script.
The data architect wants to reduce duplicate scripts but does not want to copy and paste the number interpretation variables each time new appis created. The data architect prefers to use the least amount of script in Qlik Sense.
How should the data architect meet these requirements?
- A. Create an Excel file with the number interpretation variables and use a FOR Next loop to load the variables into Qlik Sense
- B. Save the script for the number interpretation variables in a text file and use the CALL function to insert the variables.
- C. Save the script for the number interpretation variables in a text file and INLUDE function to insert the variables
- D. Create an Excel file with the number interpretation variables and apply the variables to the app using a mapping table
Answer: C
Explanation:
Explanation
This method involves saving the script for the number interpretation variables in a separate text file, and then using theINCLUDE function to insert the variables into each new app script that is created. This reduces the need to copy and paste the number interpretation variables each time a new app is created and allows the data architect to use the least amount of script in Qlik Sense.
The INCLUDE function is a script statement that allows you to insert the contents of one script file into another script file. This can be used to insert common scripts, such as the number interpretation variables, into multiple app scripts.
NEW QUESTION # 63 
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. Create a bridge table between the Departments and Salespeople tables to resolve the many-to-many relationship
- B. Join the Transactions 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: A
NEW QUESTION # 64
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