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Qlik QSDA2021 Exam Syllabus Topics:

Topic	Details
Topic 1	Determine the correct method for date handling techniques Given a scenario, identify the appropriate type of data model
Topic 2	Analyze relevant variables to build scripts for incremental loading for extract layer etermine the correct method to implement data structures efficiently
Topic 3	Given a scenario, determine metrics and levels of granularity and aggregation Given a scenario, determine the appropriate level of security
Topic 4	Determine the appropriate method to create connections for data sources Determine the correct method to perform script organization and cleansing
Topic 5	Given a scenario, determine the appropriate method to validate and test scripts Determine the correct method to document Data Load scripts
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

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Qlik Sense Data Architect Certification Exam - February 2021 Release Sample Questions (Q46-Q51):

NEW QUESTION # 46
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 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
• B. 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
• 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. 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

Answer: B
NEW QUESTION # 47
A data architect executes the following script:

What will Field_1 contain after this script is executed?

• A. Abed, abed, ABCD, ABCDABCD
• B. abcd
• C. Abcd, abcd
• D. Abed, abed, ABCD

Answer: D
NEW QUESTION # 48
The Marketing department is using some similar KPIs in different apps that need to be modified frequently according to the business needs. The KPIs are created using master items with the same expression.
Which method should the data architect use to manage the modifications in all apps?

• A. Create a core app with all the master items needed and use a BINARY load in the other apps.
• B. Create a selection app with all the master items and use an on-demand app generation method.
• C. Create a variable repository and load them using INCLUDE statements in the apps where needed
• D. Create only a single app with all the master items needed and protect it with SECTION ACCESS.

Answer: C Explanation:
This method allows the data architect to store the KPIs in a single repository and then use INCLUDE statements to load them into the other apps. This makes it easy to modify the KPIs in one place and have the changes reflected in all the apps. Source: Qlik A variable repository is a central location where all of the master items used in the apps can be stored and managed. By creating a variable repository and loading the master items into each app using INCLUDE statements, the data architect can make modifications to the master items in one place, and the changes will be automatically propagated to all of the apps that use the master items.
This method allows for easy management of the master items and eliminates the need to make changes to each app individually, which can be time-consuming and prone to errors.
NEW QUESTION # 49
Refer to the exhibit.

A data architect needs to add a Budget table to the current Qlik Sense app. A Budget table with the fields Budget, CustomerlD, and ProductlD is loaded into the model. What will be created?

• A. A circular reference with one table disconnected
• B. A synthetic table with three synthetic keys
• C. A synthetic table with two synthetic keys
• D. A synthetic table and one synthetic key

Answer: A
NEW QUESTION # 50
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 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
• B. 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
• C. 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
• D. 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

Answer: D
NEW QUESTION # 51
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