[Mar 11, 2023] Valid QSDA2021 Test Answers & QSDA2021 Exam PDF [Q12-Q35]

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[Mar 11, 2023] Valid QSDA2021 Test Answers & QSDA2021 Exam PDF

Valid Qlik Sense Data Architect QSDA2021 Dumps Ensure Your Passing

NEW QUESTION 12
Refer to the exhibit.

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

Null

NEW QUESTION 13
A data architect executes the following script:

What will be the result of Table A?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

NEW QUESTION 14
A data architect executes the following script:

What will Field_1 contain after this script is executed?

Abed, abed, ABCD

abcd

Abcd, abcd

Abed, abed, ABCD, ABCDABCD

NEW QUESTION 15
A data architect executes the following script.

Which values does the OrderDate field contain after executing the script?

20210131, 2020/01/31, 31/01/2019, 0

20210131,2020/01/31,31/01/2019

20210131, 2020/01/31, 31/01/2019, 9999

20210131, 2020/01/31, 31/01/2019, 31/12/20

NEW QUESTION 16
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?

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

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

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

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

NEW QUESTION 17
Refer to the exhibit.

A customer needs to load forecast data from an Excel file.
Which preceding load statement should the data architect use to load the data?

NEW QUESTION 18
Refer to the exhibits.

Some business users created an app by using the Add data functionality and loading two Excel files Orders and Customers.
The app is used to analyze the number of orders by customer. When the users create a bar chart to review the figures, the data shown is incorrect.
What should the data architect do to resolve this issue?

Open the data manager, split the Customers table, and associate both tables on CustomerlD field

Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field

Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD

Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table

NEW QUESTION 19
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?

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

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

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

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.

NEW QUESTION 20
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?

Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table

Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together

Use a Generic Load in the Product table and a For loop to left join each Generic table

NEW QUESTION 21
Refer to the exhibit.

Which changes on the database will the script capture?

Insert and Remove rows

Insert. Update, and Remove rows

Insert and Update rows

Update and Remove rows

NEW QUESTION 22
A data architect needs to build an Order Fulfillment app. The business requires front-end performance is optimized.
The OrderDate and ShipmentDate are located in different tables.
The user needs to identify the data type and must be able to:
* Show trends for orders and shipments
* Use a single filter for both date fields
* Analyze data over fiscal periods
Which steps should the data architect take to build the data model?

1. Create a link table with master calendar fields
2. Create a single filter using fields from the master calendar

1. Load the Shipments and Orders table via the data manager
2. Create a single filter using fields from the Orders table

1. Create a master calendar and join into the Shipments and Orders table
2. Create a single filter using fields from the Shipments table

1. Create a master calendar table as a data island
2. Create a single filter using fields from the master calendar

NEW QUESTION 23
Refer to the exhibit.

Refer to the exhibits.
The first table, Mastersports, contains the master list of all sport names that need to be loaded into the app. The second table, TeamMembers, contains the teams and team members registered for specific sports.
In a Qlik Sense app, a data architect is loading the two tables that need to be linked together based on the Sport field. The table format cannot be changed in the source.
What should the data architect do in the data load editor?

Apply a preceding LOAD from the TeamMembers table with the SUBFIELD function and rename the field to Sport

Apply a preceding LOAD to the MasterSports table with the SUBFIELD function to create the Sport field

Apply a FOR loop to load to the MasterSports table creating the values for the Sport field

NEW QUESTION 24
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?

Save the script for the number interpretation variables in a text file and use the CALL function to insert the variables.

Create an Excel file with the number interpretation variables and use a FOR Next loop to load the variables into Qlik Sense

Save the script for the number interpretation variables in a text file and INLUDE function to insert the variables

Create an Excel file with the number interpretation variables and apply the variables to the app using a mapping table

NEW QUESTION 25
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?

Create a variable repository and load them using INCLUDE statements in the apps where needed

Create a selection app with all the master items and use an on-demand app generation method.

Create a core app with all the master items needed and use a BINARY load in the other apps.

Create only a single app with all the master items needed and protect it with SECTION ACCESS.

NEW QUESTION 26
Refer to the exhibit.

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.)

Remove the rename statement (line 24) in the ProductPriceList table leaving the Product field name as is.

Rename the Category field in the ProductPriceLis table to PnceCategory (line 24).

Move the preceding Load statement in line 10 between table name (line 23) and Load statement (line 24).

insert “Join (ProductDetails)” in front of the Load statement in line 24 to combine ProductPriceList with ProductDetails

NEW QUESTION 27
A company generates 1 GB of ticketing data daily. The data is stored in multiple tables Business users need to see trends of tickets processed for the past. 2 years Users very rarely access the transaction-level data for a specific date. Only the past 2 years of data must be loaded which is 720 GB of data Which method should a data architect use to meet these requirements?

Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data

Load only aggregated data for 2 years and apply filters on a sheet for transaction data

Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use

Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data

NEW QUESTION 28
A data architect is building a model to show trends in visualizations across seven date fields. The seven date fields reside in different tables. The data architect must efficiently build this data model.
Requirements:
* A single date selector
* Show all dates, even those with NO activity
* Minimize the impact on server resources and p
Which two solutions should the data architect use? (Select two.)

Canonical calendar

Generic load

Data island

Multiple calendars

Link table

NEW QUESTION 29
A data architect needs to upload data from ten different sources, but only if there are any changes after the last reload When data is updated, a new file is placed into a folder mapped to E A439926003 The data connection points to this folder.
The data architect plans a script which will:
1. Verify that the file exists
2. If the file exists, upload it Otherwise, skip to the next piece of code The script will repeat this subroutine for each source. When the script ends, all uploaded files will be removed with a batch procedure.
Which option should the data architect use to meet these requirements?

FileSize, IF, THEN, END IF

FilePath, IF, THEN. Drop

FileExists, FOR EACH, IF

FilePath, FOR EACH, Peek, Drop

NEW QUESTION 30
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?

Class function in the script and use variables

Class function in a calculated dimension

Nested IFs in a calculated dimension

IntervalMatch and use variables

NEW QUESTION 31
Refer to the exhibit.

While performing a data load from the source shown, the data architect notices it is NOT appropriate for the required analysis.
The data architect runs the following script to resolve this issue: