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Questions before sales or after sales — both welcome. PracticeVCE's 24/7 customer service settles everything about the Qlik Sense Data Architect Certification Exam - February 2021 Release product: 50 practice questions for the QSDA2021 exam in 2026.

Qlik QSDA2021 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Transformations38%- Handle null/blank data and document scripts
- Build and script data transformations
Topic 2: Data Model Design28%- Optimize and implement data models
- Identify measures and attributes
Topic 3: Data Connectivity8%- Determine data sources and connectors
Topic 4: Identify Requirements20%- Identify stakeholders and security needs
- Determine business KPI and requirements
Topic 5: Validation6%- Validate and test data/model

QSDA2021 Exam FAQ — Get Competitive

120 minutes for 50 questions. If practice time is scarce, make sessions targeted: short daily sets in the PracticeVCE engine, full timed runs when you can.

Right after payment we email you the download link — note it — and the product also arrives automatically within a minute, with 24/7 help if nothing shows up within 2 hours. Your information stays rigorously confidential throughout. If you fail the corresponding QSDA2021 exam within 60 days of purchase, we supply a whole refund: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

The Qlik Sense Data Architect Certification Exam - February 2021 Release is Qlik's certification exam for Qlik Sense Data Architect, at the Advanced level. The certificate makes you advanced and competitive — priority in employment and promotion goes to the certified. Related credentials include Qlik Sense System Administrator, Qlik Sense Business Analyst.

The Qlik Sense Data Architect Certification Exam - February 2021 Release blueprint spans 5 domains — including Validation (6%), Data Connectivity (8%), Data Transformations (38%). Weight the heavy domains in your schedule; the complete outline above lists every subtopic.

USD 250 (approx.) per attempt, 62% to pass. Retakes cost the full fee again, so prepare efficiently — the 50 practice questions for the QSDA2021 exam at PracticeVCE stay close to the real exam's changes.

Practical experience with Qlik Sense app development, scripting, ETL, and data modeling is recommended. Eligibility rules change over time, so verify the current requirements on the official page (official QSDA2021 exam page) before registering.

Yes — the demo on our website is a genuine part of the complete Qlik Sense Data Architect Certification Exam - February 2021 Release dump, so what you try is what you buy. Purchases include 365 days of free updates with automatic email notifications; renew afterward at 50% off.

Qlik Sense Data Architect Certification Exam - February 2021 Release Sample Questions:

Refer to the exhibit.

A data architect executes the script.
What will be the value of the first row for Field_1?

  • A. Null
  • B. A
  • C. 4
  • D. D
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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 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
  • 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 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
  • 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
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

A data architect needs to add the UnitCost field from the ProductCost table in the Dim_Products Table.
Which script code should the data architect use?

  • A.
  • B.
  • C.
  • D.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

A data architect of an organization that has implemented Qlik Sense on Windows needs to load large amounts of data from a database that is continuously updated New records are added, and existing records get updated and deleted. Each record has a LastModified field.
All existing records are exported into a QVD file. The data architect wants to load the records into Qlik Sense efficiently.
Which steps should the data architect take to meet these requirements?

  • A. 1 Load the new and updated data from the database.
    2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records.
    3. Load all records from the key field from the database and use an INNER JOIN on the previous table.
  • B. 1. Use a partial LOAD to load new and updated data from the database.
    2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records
    3. Use the PEEK function to remove the deleted rows
  • C. 1. Load the existing data from the QVD
    2. Load new and updated data from the database Concatenate with the table loaded from the QVD.
    3. Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records
  • D. 1 Load the existing data from the QVD
    2. Load the new and updated data from the database without the rows that have just been loaded from the QVD and concatenate with data from the QVD
    3. Load all records from the key field from the database and use an INNER JOIN on the previous table
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Refer to the exhibits.

A business analyst needs to see the currency conversion provided by a third party process, and only contains a record when the rate changes in a chart. The currency conversion rate data is An existing master calendar exists in the data model that contains a full set of dates.
Which technique should the data architect use to meet this requirement?

  • A. Leverage a FOR loop between the start date and end date of the master calendar Use the MATCH function to add the currency conversion rates to the master calendar
  • B. Use ITERNO and AUTOGENERATE to create a new calendar from max and min dates of the currency conversion table
  • C. Utilize INTERVALMATCH to load the currency conversion rate between dates the conversation changed INNER JOIN the resultant table back into the master calendar
  • D. OUTER JOIN the calendar with the currency conversion table
    ORDER BY the date and use the PEEK function to fill in blank values
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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