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QSDA2021 Learning Material: Qlik Sense Data Architect Certification Exam - February 2021 Release & QSDA2021 Practice Test
QSDA2021 Valid Test Book,QSDA2021 Reliable Study Plan,QSDA2021 Accurate Prep Material,QSDA2021 Practice Braindumps,QSDA2021 Actual Test Pdf, QSDA2021 Learning Material: Qlik Sense Data Architect Certification Exam - February 2021 Release & QSDA2021 Practice Test

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The Qlik QSDA2021 (Qlik Sense Data Architect Certification Exam - February 2021 Release) Certification Exam is a rigorous exam for individuals seeking to demonstrate their expertise in Qlik Sense data architecture. This exam is designed to test the candidate’s knowledge and skills in data modeling, data architecture design, data transformation, and data quality management. The exam is based on the latest version of Qlik Sense, and covers all the essential topics required for a data architect to design and implement an efficient and effective Qlik Sense data model.

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Qlik Sense Data Architect Certification Exam - February 2021 Release Sample Questions (Q45-Q50):

NEW QUESTION # 45
Refer to the exhibits.

While debugging an app, a developer loads data from an application layer QVD file.
In the process of separating a concatenated key into two parts, some split results are missing data What should the data architect do?
1. Utilize a combination of LEFT(), MID(), and RIGHT() functions to capture the key components
2. In the SUBFIELD function, replace the '_' with a '|' or '_' character.
While debugging an app, a developer loads data from an application layer QVD file.
In the process of separating a concatenated key into two parts, some split results are missing data What should the data architect do?

  • A. Wrap an IF() function around the SUBFIELDQ functions to check and adapt to null values character
  • B. Utilize a combination of LEFT(), MID(), and RIGHTO functions to capture the key components
  • C. In the SUBFIELD function, replace the '- with a '|' or '-' character
  • D. Wrap an IF() function around the SUBFIELD() functions to check and adapt to null values
  • E. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
  • F. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field

Answer: A


NEW QUESTION # 46
Refer to the exhibit.

On executing a load script of an app, the country field needs to be normalized. The developer uses a mapping table to address the issue.
What should the data architect do?

  • A. Use a LEFT JOIN instead of the APPLYMAP
  • B. Review the values of the source mapping table
  • C. Create two different mapping tables
  • D. Use LOAD DISTINCT on the mapping table

Answer: B


NEW QUESTION # 47
Refer to the exhibit.

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?

  • A. 1. 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
  • B. 1 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
  • C. 1. 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
  • D. 1 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

Answer: D


NEW QUESTION # 48
A company has a stream with multiple apps One of the apps is a multi-regional sales app.
A data architect must set up security for users to access the stream, enter the app, and view specific sheets and data.
Which features should the data architect use to meet these requirements?

  • A. QMC security rules and custom properties
  • B. QMC security rules and section access
  • C. Section access and set analysis
  • D. Section access and sheet properties

Answer: B


NEW QUESTION # 49
A data architect executes the following script:

What will be the result of Table A?
A)

B)

C)

D)

  • A. Option C
  • B. Option B
  • C. Option A
  • D. Option D

Answer: D


NEW QUESTION # 50
......

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