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Qlik QSDA2022 Dumps

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Qlik Sense Data Architect Certification Exam-2022
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Qlik Sense Data Architect Certification Exam-2022 Practice Questions

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The QSDA2022 exam introduces new data visualization techniques focusing on advanced interactive dashboard designs, the incorporation of AI-driven insights, real-time data visualization strategies, and enhanced techniques for storytelling through data in Qlik Sense, catering to evolving analytics trends.

In the QSDA2022 exam, security and compliance are crucial, emphasizing the need to safeguard data within Qlik Sense applications. It tests the candidate's ability to implement secure data practices, manage user access, comply with data governance policies, and ensure data integrity and confidentiality.

Yes, the QSDA2022 exam includes a section on predictive analytics, focusing on how to utilize Qlik Sense’s capabilities for forecasting and trend analysis. It assesses the ability to integrate predictive models and data-driven insights into business intelligence solutions.

Yes, collaborative analytics is part of the QSDA2022 exam syllabus. It assesses knowledge in sharing insights and interactive dashboards within Qlik Sense, facilitating team-based data analysis, and leveraging collective expertise to enhance decision-making and drive business strategy.

The QSDA2022 exam tests a candidate's ability to optimize Qlik Sense performance by evaluating their skills in efficient data modeling, managing data load processes, optimizing app design for speed and responsiveness, and implementing best practices to enhance the overall user experience and data processing efficiency.

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Qlik Sense Data Architect Certification Exam-2022 Questions and Answers

Questions 1

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?



Create a Region field in the SalesTransaction table and populate using fixed region values while loading from each source


Create a Region field in the Employee table and populate using the LTrim function on the EmployeelD


Create a Region field in the Employee table and populate using the SubField function on the EmployeelD


Create a Region field in the SalesTransaction table and create a mapping table based on the Country field in the Customer table

Questions 2

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 to improve performance? (Select two.)



Use dynamic script generation with variables


Denormalize the schema


Make sure any Ul variables are preceded by '='


Use flags in the data model to simplify set analysis


Create master items for all complex expressions

Questions 3

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 the location.

Which GeoAnalytics operation should the data architect use?