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Qlik QSDA2021 Exam Syllabus Topics:

Topic Details
Topic 1
  • Determine the appropriate method to create connections for data sources
  • Determine the correct method to perform script organization and cleansing

Topic 2
  • Determine the correct method for date handling techniques
  • Given a scenario, identify the appropriate type of data model

Topic 3
  • Determine the correct method to optimize the data model for Qlik Sense
  • Determine the correct method to build data content based on requirements

Topic 4
  • Given a scenario, determine metrics and levels of granularity and aggregation
  • Given a scenario, determine the appropriate level of security

Topic 5
  • Analyze relevant variables to build scripts for incremental loading for extract layer
  • etermine the correct method to implement data structures efficiently

Topic 6
  • Given a scenario, determine the measures and attributes from each data source
  • Analyze and evaluate null and blank data handling required to support filtering

Topic 7
  • Given a scenario, determine the appropriate method to validate and test scripts
  • Determine the correct method to document Data Load scripts


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Qlik Sense Data Architect Certification Exam - February 2021 Release Sample Questions (Q23-Q28):

NEW QUESTION # 23
Refer to the exhibit.

A data architect is working on a Qlik Sense app the business has created to analyze the company orders and shipments. To understand the table structure, the business has given the following summary:
* Every order creates a unique orderlD and an order date in the Orders table
* An order can contain one or more order lines one for each product ID in the order details table
* Products in the order are shipped (shipment date) as soon as tliey are ready and can be shipped separately
* The dates need to be analyzed separately by Year Month, and Quarter
The data architect realizes the data model has issues that must be fixed.
Which steps should the data architect perform?

  • A. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Shipments table
    2. Delete the ShipmentID in the Orders table
    3 Delete the ProductID and OrderlD in the Shipments table
    4. Concatenate Orders and OrderDetails
  • B. 1. Create a key with OrderlD and ProductID in the OrderDeta Is table and in the Shipments table
    2. Delete the ShipmentID in the Orders table
    3. Delete the ProductID and OrderlD in the Shipmi
    4. Left join Orders and OrderDetails
    5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate
  • C. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Orders table
    2. Delete the ShipmentID in the Shipments table
    3. Delete the ProductID and OrderlD in the OrderDetails table
    4. Concatenate Orders and OrderDetails
    5. Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate
  • D. 1. Create a key with OrderlD and ProductID in the OrderDetails tab e and in the Orders table
    2. Delete the ShipmentID in the Shipments table
    3. Delete the ProductID and OrderlD in the OrderDetails
    4. Left join Orders and OrderDetails
    5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate

Answer: A
NEW QUESTION # 24
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)

B)

C)

D)

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

Answer: B
NEW QUESTION # 25
A data architect executes the following script:

What will be the result of Table A?
A)

B)

C)

D)

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

Answer: A
NEW QUESTION # 26
Refer to the exhibit.

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)
  • B. Use Concatenate before loading the Stores table
  • C. Use where exists (ID, StorelD)

Answer: A
NEW QUESTION # 27
Refer to the exhibit.

A data architect must classify each product into a price group. The price groups must be the same width by default and allow users to dynamically change the width of the bucket during analysis.
Which feature should the data architect use to meet these requirements?

  • A. IntervalMatch and use variables
  • B. Class function in a calculated dimension
  • C. Nested IFs in a calculated dimension
  • D. Class function in the script and use variables

Answer: B
NEW QUESTION # 28
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