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Qlik Sense Data Architect Certification Exam - February 2021 Release Sample Questions (Q28-Q33):

NEW QUESTION # 28
Refer to the exhibit.
QSDA2021-414436c1014772c3ccd74ad88689b4fe.jpg
A data architect is creating an app using three tables. After executing the script, a warning displays Which two steps should the data architect do to resolve this warning? (Select two.)

  • A. insert "Join (ProductDetails)" in front of the Load statement in line 24 to combine ProductPriceList with ProductDetails
  • B. Move the preceding Load statement in line 10 between table name (line 23) and Load statement (line 24).
  • C. Rename the Category field in the ProductPriceLis table to PnceCategory (line 24).
  • D. Remove the rename statement (line 24) in the ProductPriceList table leaving the Product field name as is.

Answer: C


NEW QUESTION # 29
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 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
  • B. 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.
  • C. 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
  • 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

Answer: B


NEW QUESTION # 30
A data architect needs to revise an existing app.
The number of data rows has grown rapidly recently. While the app is in production, users are becoming increasingly unhappy about the response times when they make selections Which two methods should be used to improve performance? (Select two.)

  • A. Use dynamic script generation with variables
  • B. Use flags in the data model to simplify set analysis
  • C. Denormalize the schema
  • D. Create master items for all complex expressions
  • E. Make sure any Ul variables are preceded by '='

Answer: A,B


NEW QUESTION # 31
A data architect wants to combine data on present and historic sales performance. The historic data is stored in a de-normalized archive, and the present data is maintained in a database. The output must be contained in a single table.
Which script should the data architect use?
A)
QSDA2021-2737b2aa7098f6d3f5e7683994faadb1.jpg
B)
QSDA2021-dc99b08f6d5b0c5581f4787c699abb96.jpg
C)
QSDA2021-acb41514d1ef5883578e0234607742bb.jpg
D)
QSDA2021-ce6ee58cbf300cf23fada84963a44cde.jpg

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

Answer: D


NEW QUESTION # 32
Users of a published app report incomplete visualizations. The data architect checks the app multiple times and cannot replicate the error. The error affects only one team.
What is the most likely cause?

  • A. Section access restricts too many records
  • B. A security rule has been applied to the sheet object
  • C. An Omit field has been applied
  • D. The affected users were NOT added to the Section table

Answer: A

Explanation:
Section access restricts access to certain records, and if too many records are restricted, it can lead to incomplete visualizations. Source: Qlik Section access is used to control access to the data in an app. If the section access settings are too restrictive, they can prevent certain users or teams from seeing all of the data they need, resulting in incomplete visualizations.
It is possible that the affected team has been assigned a section access that is too restrictive, preventing them from seeing all of the necessary data. This could be a misconfiguration or an oversight in the section access settings.


NEW QUESTION # 33
......

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