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To prepare for the Qlik QSDA2022 certification exam, candidates should have a strong understanding of Qlik Sense data architecture and its various components. Candidates can prepare for the exam by attending Qlik training courses, reading Qlik documentation, and practicing with Qlik Sense. Qlik also offers a study guide and practice exam to help candidates prepare for the certification exam.
NEW QUESTION # 32
Refer to the exhibits.
A business analyst needs to see the currency conversion provided by a third party process, and only contains a record when the rate changes in a chart. The currency conversion rate data is An existing master calendar exists in the data model that contains a full set of dates.
Which technique should the data architect use to meet this requirement?
- A. Use ITERNO and AUTOGENERATE to create a new calendar from max and min dates of the currency conversion table
- B. Leverage a FOR loop between the start date and end date of the master calendar Use the MATCH function to add the currency conversion rates to the master calendar
- C. Utilize INTERVALMATCH to load the currency conversion rate between dates theconversation changed INNER JOIN the resultant table back into the master calendar
- D. OUTER JOIN the calendar with the currency conversion table
ORDER BY the date and use the PEEK function to fill in blank values
Answer: D
NEW QUESTION # 33
Users of a published app report incomplete visualizations. The data architect checks the app multiple timesand cannot replicate the error. The error affects only one team.
What is the most likely cause?
- A. An Omit field has been applied
- B. The affected users were NOT added to the Section table
- C. Section access restricts too many records
- D. A security rule has been applied to the sheet object
Answer: C
Explanation:
Explanation
Section access restricts access to certain records, and if too many records are restricted, it can lead to incomplete visualizations.Source: Qlik Section access is used to control access to the data in an app. If the section access settings are too restrictive, they can prevent certain users or teams from seeing all of the data they need, resulting in incomplete visualizations.
It is possible that the affected team has been assigned a section access that is too restrictive, preventing them from seeing all of the necessary data. This could be a misconfiguration or an oversight in the section access settings.
NEW QUESTION # 34
A company generates 1 GB of ticketing data daily. The data is stored in multipletables Business users need to see trends of tickets processed for the past. 2 years Users very rarely access the transaction-level data for a specific date. Only the past 2 years of data must be loaded which is 720 GB of data Which method should a data architect use to meet these requirements?
- A. Load only aggregated data for 2 years and apply filters on a sheet for transaction data
- B. Load only 2 years ofdata in an aggregated app and create a separate transaction app for occasional use
- C. Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data
- D. Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data
Answer: C
NEW QUESTION # 35
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. Multiple calendars
- B. Generic load
- C. Canonical calendar
- D. Data island
- E. Link table
Answer: C,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 # 36
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. Create a composite key using OrderlD and LineNo, and remove OrderlD and LineNo from Shipments
- B. Remove the LineNo field from Shipments and use the AutoNumber function on the OrderlD field
- C. Remove the LineNo field from both tables and use the AutoNumber function on the OrderlD field
- D. Create a composite key using OrderlD and LineNo
Answer: D
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 # 37
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 # 38
A global retailer has a large database in which millions of sales transactions are added per hour.
Each regional sales manager should only see details for customers in their region. After filtering based on criteria such as region, gender,and income level, sales managers should be able to see the most current detailed transactions.
What should a data architect do to meet these requirements?
- A. Use section access and include aservice account in the table
- B. Use section access to restrict sales manager access by region
- C. Use On-Demand App Generation (ODAG) and section access
- D. Create an app for each sales manager with Qlik GeoAnalytics
Answer: B
NEW QUESTION # 39
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. Use the Unpivot function
3 Use the Sum function to group the forecast by date
4 Connect to the existing data model - B. 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 - C. 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 - D. 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
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 # 40 
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 Generic Loadin the Product table and a For loop to left join each Generic table
- B. Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together
- C. Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table
Answer: A
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 C
- B. Option A
- C. Option B
- D. Option D
Answer: D
NEW QUESTION # 42
A data architect needs to arrange data to create an app with a map where multiple location points consolidate into hexagonal areas based on postal codes The areas will be color coded based on the number of vendors in thelocation.
Which GeoAnalytics operation should the data architect use?
- A. Intersect
- B. Simplify
- C. Binning
- D. AddressLookup
Answer: C
Explanation:
Explanation
Binning is a GeoAnalytics operation that can be used to arrange data into hexagonal areas based on postal codes. The areascan then be color coded based on the number of vendors in the location.Source: Qlik Binning is a GeoAnalytics operation that allows data points to be grouped into hexagonal areas based on a geographic field, such as postal codes. The data architect can use binning to group the location points by postal code and then color code the resulting hexagonal areas based on the number of vendors in each location.
This operation is useful for visualizing spatial data and identifying patterns or trends in the data.
NEW QUESTION # 43
Refer to the exhibit.
A customer needs to load forecast data from an Excel file.
Which preceding load statement should the data architect use to load the data?
- A.

- B.

- C.

- D.

Answer: B
NEW QUESTION # 44
A data architect is using an Include statement to load the collection of variables from a TextFiles folder connection into an app. The data architect needs to load the data and generate an error if it fails.
Which statement should the data architect use?
- A. $<Include=lib://TextFiles/Variables.txt);
- B. (Includs=lib://TextFiles/Variables.txt);
- C. (Must_Include=lib://TextFiies/Variables.txt);
- D. $(Must_Include=lib://TextFiles/Variables.txt);
Answer: D
Explanation:
Explanation
The MustInclude statement provides an error if the include fails and is used when including files in Qlik Sense.
The other statements do not provide an error if the include fails.
qlik-sense-certification-exam-study-guide-en.pdf
https://www.qlik.com/us/-/media/files/training/global-us/qlik-sense-certification-exam-study-guide-en.pdf?la=en Talk to Experts Tuesday - Migrating from QlikView to Qlik Sense FAQ
https://community.qlik.com/t5/Support-Knowledge-Base/Talk-to-Experts-Tuesday-Migrating-from-QlikView-to Certifications & Qualifications | Qlik
https://www.qlik.com/us/services/training/certifications-and-qualifications The $(Must_Include) statement is used to load a file or a set of files and generate an error if the load fails. The
"Must_Include" function will stop the script execution if the file is not found or cannot be loaded. The correct syntax for using the "Must_Include" statement is $(Must_Include=lib://TextFiles/Variables.txt);
NEW QUESTION # 45
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 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 - 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 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
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 # 46
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. APPLYMAP ( 'Associations , EmployeeKey ) as Employeekey;
- B. MAP EmloyeeKey USING Associations;
- C. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;
- D. RENAME FIELDS USING Associations;
Answer: B
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 # 47
A company needs to analyze sales data based on the exchange rate of the different countries every day About
30 reports must be produced with an average of 20r000 rows each. This process is estimated to take about three hours.
Reports will be in Excel and distributed to business users according to defined security rules Which two products should the data architect use to build this solution? (Select two.)
- A. Qlik Storytelling
- B. OQIikGeoAnalytics
- C. QIik NPrinting
- D. ODAG
- E. QIikDataMarket
Answer: C,D
Explanation:
Explanation
The best answer choices are B.
ODAG and E. QIik NPrinting.
ODAG (On Demand Application Generation) is a product from Qlik that can be used to quickly generate reports from large datasets.
It can produce reports with up to 20,000 rows and can do so in less than three hours.
NPrinting is a product from Qlik that can be used to distribute the reports in Excel format according to the defined security rules.
NEW QUESTION # 48
A data architect needs to add the UnitCost field from the ProductCost table in the Dim_Products Table.
Which script code should the data architect use?
- A.

- B.

- C.

- D.

Answer: C
NEW QUESTION # 49
Refer to the exhibit.
While performing a data load from the source shown, the data architect notices it is NOT appropriate for the required analysis.
The data architect runs the following script to resolve this issue:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 50
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: C
NEW QUESTION # 51
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. The Month field does not exist in the Orders table and needs to be incorporated in the table using he Calendar table.
- C. 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 - D. In the Orders table, some values in the CustomerlD field do not exist in the Customers table.
Answer: A,D
NEW QUESTION # 52
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 apply a NOCONCATENATE function in the LOAD statement on the Orders table
- B. Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD
- C. Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field
- D. Open the data manager, split the Customers table, and associate both tables on CustomerlD field
Answer: B
NEW QUESTION # 53
A data architect executes the following script:
Whatwill be the result of Table A?
A)
B)
C)
D)
- A. Option C
- B. Option A
- C. Option B
- D. Option D
Answer: D
NEW QUESTION # 54 
A Human Resources Director needs an app to analyze organizational structure. The Directory is particularly interested in the longest levels of line management.
Two table loads are required. Both use the same basic structure.
Which two table load prefixes are needed?
- A. * HierarchyBelongsTo(ManagerlD, Manager, ManagerlD, ManagerlD, Manager Level)
* Hierarchy(EmployeelD, ManagerlD, Name. Manager Name, Structure '/' Depth) - B. *HierarchyLevel(EmployeelD, ManagerlD Name Level, '/', Structure)
*HierarchyBelongsTo(EmployeelD, ManagerlD, Name ManagerlD,Manager, Depth) - C. * Hierarchy(EmployeelD. ManagerlD Name, Manager Name, Structure V,Depth)
* HierarchyLevelEmployeelD, ManagerlD, Name, Manager, Name, Structure, Depth '/') - D. * HierarchyBelongs.To(EmployeeID, ManagerlD, Name ManagerlD, Manager, Depth)
Answer: D
NEW QUESTION # 55
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