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Qlik QSDA2021 Practice Test Questions Answers

Exam Code: QSDA2021 (Updated 50 Q&As with Explanation)
Exam Name: Qlik Sense Data Architect Certification Exam - February 2021 Release
Last Update: 31-Jul-2025
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Questions Include:

  • Single Choice: 47 Q&A's
  • Multiple Choice: 3 Q&A's

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    QSDA2021 Questions and Answers

    Question # 1

    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.

    3

    B.

    1

    C.

    6

    D.

    4

    Question # 2

    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 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

    B.

    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

    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

    Question # 3

    Refer to the exhibit.

    A data architect is loading the tables and a synth key is generated.

    How should the data architect resolve the synthetic key?

    A.

    Remove the LineNo field from Shipments and use the AutoNumber function on the

    B.

    Create a composite key using OrdertD and LineNo

    C.

    Remove the LineNo field from both tables and use the AutoNumber function on the OrderlC field

    D.

    Create a composite key using OrderlD and LineNo. and remove OrderlD and LineNo from Shipments

    Question # 4

    A data architect needs to upload data from ten different sources, but only if there are any changes after the last reload When data is updated, a new file is placed into a folder mapped to E A439926003 The data connection points to this folder.

    The data architect plans a script which will:

    1.Verify that the file exists

    2. If the file exists, upload it Otherwise, skip to the next piece of code

    The script will repeat this subroutine for each source. When the script ends, all uploaded files will be removed with a batch procedure.

    Which option should the data architect use to meet these requirements?

    A.

    FileSize, IF, THEN, END IF

    B.

    FilePath, IF, THEN. Drop

    C.

    FileExists, FOR EACH, IF

    D.

    FilePath, FOR EACH, Peek, Drop

    Question # 5

    Refer to the exhibit

    A data architect develops an app for Coffee4all, a coffee company with stores located throughout Europe

    The script runs successfully, but the Stores table does not have any values.

    What should the data architect do?

    A.

    Use where exists (ID, StorelD)

    B.

    Use where exists (ID)

    C.

    Use Concatenate before loading the Stores table

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