Most Recent Qlik QSDA2022 Exam Dumps

Prepare for the Qlik Sense Data Architect Certification Exam - 2022 exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Qlik QSDA2022 exam and achieve success.

The questions for QSDA2022 were last updated on May 3, 2025.

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Question No. 1

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.)

AOQIikGeoAnalytics

BODAG

CQIikDataMarket

DQlik Storytelling

EQIik NPrinting

Show Answer

Correct Answer: B, E

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.

Question No. 2

Refer to the exhibit

A data architect is working on an app that contains orders, invoices, and shipping dat

a. There are three different date fields within the data:

* OrderDate

* InvoiceDate

* ShippingDate

The business analyst needs to replicate the chart above to show Order and Shipping amounts on the same Month axis.

What should the data architect do?

ACreate a Month field for each of the three dates in the fact table and use that in the chart

BLoad the key field and the three date fields into a concatenated bridge table that contains KeyField and Date

CLeft Join the three date fields onto one bridge table using the key field containing KeyField and Date

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Correct Answer: B

Question No. 3

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?

ACreate a composite key using OrderlD and LineNo

BRemove the LineNo field from Shipments and use the AutoNumber function on the OrderlD field

CRemove the LineNo field from both tables and use the AutoNumber function on the OrderlD field

DCreate a composite key using OrderlD and LineNo, and remove OrderlD and LineNo from Shipments

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Correct Answer: A

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.

Question No. 4

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* HierarchyLevel(EmployeelD, ManagerlD Name Level, '/', Structure)
* HierarchyBelongsTo(EmployeelD, ManagerlD, Name ManagerlD, Manager, Depth)

B* HierarchyBelongsTo(ManagerlD, Manager, ManagerlD, ManagerlD, Manager Level)
* Hierarchy(EmployeelD, ManagerlD, Name. Manager Name, Structure '/' 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)

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Correct Answer: D

Question No. 5

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?

A1 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

B1. Generate a Cartesian JOIN between productid and date in a Combined table
2. LEFT JOIN the Combined table with the Original 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

C1. 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

D1 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

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Correct Answer: D

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