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QSDA2022 FAQs
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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QSDA2022 PDF vs Testing Engine
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Qlik Sense Data Architect Certification Exam–2022 Questions and Answers
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 data architect executes the following script:
What will be the result of Table A?
A)
B)
C)
D)
A company generates 1 GB of ticketing data daily. The data is stored in multiple tables 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?
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