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The Qlik QSDA2021 certification exam is a valuable certification for data architects who want to demonstrate their knowledge and skills in Qlik Sense data architecture. It provides data architects with an opportunity to showcase their proficiency in designing, developing, and managing data models, connections, and security in Qlik Sense. Passing this certification exam can open doors to new career opportunities and enhance an individual’s credibility in the industry.
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The QSDA2021 exam consists of 50 multiple-choice questions that must be answered within 120 minutes. The exam questions are designed to test the candidate’s understanding of the concepts and best practices of data modeling, data integration, and data visualization using Qlik Sense. The exam is available in multiple languages, including English, French, German, Japanese, Portuguese, and Spanish.
Qlik Sense Data Architect Certification Exam – February 2021 Release Sample Questions (Q11-Q16):
NEW QUESTION # 11
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.
* 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. Canonical calendar
- C. Multiple calendars
- D. Data island
- E. Link table
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 will minimize the impact on server resources and performance. Source: Qlik
NEW QUESTION # 12
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?
NEW QUESTION # 13
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
NEW QUESTION # 14
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 use JOIN instead of concatenate to combine Orders and Customers by CustomerlD
- B. Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field
- C. Open the data manager, split the Customers table, and associate both tables on CustomerlD field
- D. Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table
NEW QUESTION # 15
Refer to the exhibit.
A data architect is working with an app and creates some visualizations to check the dat a. Some visualizations show issues 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 values in the CustomerlD field do not exist in the Customers table.
- D. 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
NEW QUESTION # 16
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