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Qlik QSDA2021 Exam Overview:
| Certification Vendor: | Qlik |
|---|---|
| Exam Name: | Qlik Sense Data Architect Certification Exam - February 2021 Release |
| Exam Number: | QSDA2021 |
| Available Languages: | English |
| Passing Score: | 62% |
| Real Exam Qty: | 50 |
| Exam Format: | Multiple choice |
| Related Certifications: | Qlik Sense System Administrator Certification Qlik Sense Business Analyst Certification |
| Exam Price: | 250 EUR (excluding taxes and fees) |
| Exam Duration: | 120 minutes |
| Recommended Training: | Qlik Sense Data Modeling Training Qlik Instructor-Led Data Architect Course |
| Exam Registration: | Qlik Certification Portal |
| Sample Questions: |  |
| Exam Way: | Available both in-person at test centers and online proctored exam |
| Pre Condition: | Recommended experience with Qlik Sense data modeling, scripting, ETL concepts, SQL, and building production applications. |
| Official Syllabus URL: | https://learning.qlik.com/student/page/2161345-qlik-sense-data-architect-certification-exam-details |
Qlik QSDA2021 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify Requirements | 20% | - Business requirements analysis - Security requirements - Stakeholders and data granularity |
| Topic 2: Data Transformations | 38% | - Incremental load design - Scripting and documentation - Data cleansing and null handling - Data loading and transformation logic - Date handling techniques |
| Topic 3: Validation | 6% | - Data validation and testing - Script validation and testing |
| Topic 4: Data Connectivity | 8% | - Connection methods - Data sources and connectors |
| Topic 5: Data Model Design | 28% | - Data model optimization - Data structures implementation - Measures and dimensions design |
What to Know Before Your QSDA2021 Exam Day
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The latest exam information lists 50 questions for the QSDA2021 exam within a 120 minutes-minute window. Practicing under those exact conditions is the best cure for exam-day surprises.
The Qlik Sense Data Architect Certification Exam - February 2021 Release blueprint is organized around these core domains:
- Data Model Design (28%)
- Data Connectivity (8%)
- Identify Requirements (20%)
Further domains appear in the full official outline; the question bank covers all of them.
By fitting study into the cracks of a busy life. The QSDA2021 bank contains complete questions with expert-verified answers across the Qlik Sense Data Architect Certification Exam - February 2021 Release objectives, stored easily on your phone, pad, or computer for spare-time review — and the PDF prints cleanly when you prefer paper, because marking key points by hand genuinely enhances memory. Assess everything first through the free demo on our site, pay securely through the Credit Card system, and rest assured your personal information is never shared with third parties without permission.
Qlik lists the following official training resources:
Structured courses pair well with spare-time question practice for steady, low-stress progress.
Qlik specifies these prerequisites for the Qlik Sense Data Architect Certification Exam - February 2021 Release: Recommended experience with Qlik Sense data modeling, scripting, ETL concepts, SQL, and building production applications..
Check the authoritative wording on the official certification page before booking.
At present, the QSDA2021 exam requires a passing score of 62%, and registration costs 250 EUR (excluding taxes and fees). Qlik sets both figures and may adjust them, so verify on the official site before you schedule.
Use the official registration channels below:
Pick a test center or online slot that suits your routine, and book early — calm planning beats last-minute pressure.
Qlik Sense Data Architect Certification Exam - February 2021 Release Sample Questions:
A data architect needs to develop multiple apps for various departments. More departments are requesting apps over time The company uses specific requirements for the number interpretation variables (e.g., ThousandSep, DecimalSep) found at the beginning of a LOAD script.
The data architect wants to reduce duplicate scripts but does not want to copy and paste the number interpretation variables each time new app is created. The data architect prefers to use the least amount of script in Qlik Sense.
How should the data architect meet these requirements?
- A. Create an Excel file with the number interpretation variables and use a FOR Next loop to load the variables into Qlik Sense
- B. Save the script for the number interpretation variables in a text file and INLUDE function to insert the variables
- C. Save the script for the number interpretation variables in a text file and use the CALL function to insert the variables.
- D. Create an Excel file with the number interpretation variables and apply the variables to the app using a mapping table
Correct Answer: B 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
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 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. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values - D. 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
Correct Answer: C 🗳️
A data architect executes the following script:
What will Field_1 contain after this script is executed?
- A. abcd
- B. Abcd, abcd
- C. Abed, abed, ABCD
- D. Abed, abed, ABCD, ABCDABCD
Correct Answer: C 🗳️
Refer to the exhibit.
Refer to the exhibit.
A data architect is loading two tables: Orders and Product. The Product table includes attributes and values for each ProductID such as Colour, Price, Category, and Description.
The business analyst can filter by the value of these attributes. For performance reasons, the Data Model will use two tables.
Which solution should the data architect apply in the Data Load Editor to build the ProductDetails table?
For performance reasons, the Data Model will use two tables a Load Editor to build the ProductDetails table?
- A. Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together
- B. Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table
- C. Use a Generic Load in the Product table and a For loop to left join each Generic table
Correct Answer: C 🗳️
Refer to the exhibit.
A company has different departments. Executive and Sales should always be the first values in a Department filter pane. Which script must the data architect use to meet this requirement?
A)
B)
C)
D)
- A. Option C
- B. Option A
- C. Option B
- D. Option D
Correct Answer: D 🗳️
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