Free Jan-2024 QSDA2021 Dumps are Available for Instant Access [Q30-Q48]

Free Jan-2024 QSDA2021 Dumps are Available for Instant Access

View All QSDA2021 Actual Exam Questions Answers and Explanations for Free

NEW QUESTION # 30
Multiple department fields in a dataset require a description
A data architect needs to add the department descriptions or a default value when the department does NOT have a description Which strategy should the data architect use to meet these requirements?

A. Left Join between tables and Description xlsx in every Department table
B. ApplyMap with two parameters after the Mapping load
C. ApplyMap with three parameters after the Mapping load
D. Enter "Missing description" in the blank rows for Description xlsx then Mapping Load

Answer: C

Explanation:
This strategy involves using the ApplyMap function with three parameters after the Mapping load. This will allow the data architect to add the department descriptions or a default value when the department does not have a description. Source: Qlik

NEW QUESTION # 31
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. An Omit field has been applied
B. Section access restricts too many records
C. The affected users were NOT added to the Section table
D. A security rule has been applied to the sheet object

Answer: B

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 # 32
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.)

A. Canonical calendar
B. Multiple calendars
C. Generic load
D. Link table
E. Data island

Answer: A,D

Explanation:
A canonical calendar should be used to create a single date selector that can be used to show all dates, even those with no activity. A link table should be used to join the seven date fields from different tables, which will minimize the impact on server resources and performance. Source: Qlik

NEW QUESTION # 33
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. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values
B. 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
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: A

NEW QUESTION # 34
A data architect needs to arrange data to create an app with a map where multiple location points consolidate into hexagonal areas based on postal codes The areas will be color coded based on the number of vendors in the location.
Which GeoAnalytics operation should the data architect use?

A. AddressLookup
B. Binning
C. Intersect
D. Simplify

Answer: B

Explanation:
Binning is a GeoAnalytics operation that can be used to arrange data into hexagonal areas based on postal codes. The areas can then be color coded based on the number of vendors in the location. Source: Qlik Binning is a GeoAnalytics operation that allows data points to be grouped into hexagonal areas based on a geographic field, such as postal codes. The data architect can use binning to group the location points by postal code and then color code the resulting hexagonal areas based on the number of vendors in each location.
This operation is useful for visualizing spatial data and identifying patterns or trends in the data.

NEW QUESTION # 35
Refer to the exhibit.

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

A. Null
B. A
C. D
D. 0

Answer: C

NEW QUESTION # 36
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 variable repository and load them using INCLUDE statements in the apps where needed
B. Create only a single app with all the master items needed and protect it with SECTION ACCESS.
C. Create a selection app with all the master items and use an on-demand app generation method.
D. Create a core app with all the master items needed and use a BINARY load in the other apps.

Answer: A

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 # 37
A data architect needs to efficiently prepare a data model for a meeting in an hour.
The data source to be used contains five date fields The app needs to display sales trends and compare the current year to date (CYTD) to last year to date (LYTD) The app is NOT going to be published It will only be used for this meeting and a single user's ad-hoc analysis.
What should the data architect do to meet these requirements?

A. Create a canonical calendar
B. Use the data manager
C. Load a calendar island
D. Create five master calendars

Answer: A

NEW QUESTION # 38
A company has a stream with multiple apps One of the apps is a multi-regional sales app.
A data architect must set up security for users to access the stream, enter the app, and view specific sheets and data.
Which features should the data architect use to meet these requirements?

A. Section access and sheet properties
B. QMC security rules and custom properties
C. Section access and set analysis
D. QMC security rules and section access

Answer: D

NEW QUESTION # 39
Refer to the exhibit.

A data architect is working with an app and creates some visualizations to check the dat a. Some visualizations show issues in the data set.
* The Sales by Country table shows a total OrderValue of 18,300 sales while the KPI shows a total OrderValue of 20,600.
* The Sales monthly trend bar chart does not work with the Month field.
Which two data issues should the data architect fix in the app? (Select two.)

A. The OrderDate field values in the Calendar table do not match with the values in the OrderDate field from the Orders table
B. In the Orders table, some values in the CustomerlD field do not exist in the Customers table.
C. In the Orders table, some CustomerlD values are null because there are orders with no customer.
and needs to be incorporated in the table using the Calendar table, null because there are orders with no customer
D. The Month field does not exist in the Orders table and needs to be incorporated in the table using he Calendar table.

Answer: A,B

NEW QUESTION # 40
A data architect executes the following script:

What will Field_1 contain after this script is executed?

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

Answer: B

NEW QUESTION # 41
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 apply the variables to the app using a mapping table
B. Save the script for the number interpretation variables in a text file and use the CALL function to insert the variables.
C. Create an Excel file with the number interpretation variables and use a FOR Next loop to load the variables into Qlik Sense
D. Save the script for the number interpretation variables in a text file and INLUDE function to insert the variables

Answer: D

Explanation:
This method involves saving the script for the number interpretation variables in a separate text file, and then using the INCLUDE function to insert the variables into each new app script that is created. This reduces the need to copy and paste the number interpretation variables each time a new app is created and allows the data architect to use the least amount of script in Qlik Sense.
The INCLUDE function is a script statement that allows you to insert the contents of one script file into another script file. This can be used to insert common scripts, such as the number interpretation variables, into multiple app scripts.

NEW QUESTION # 42
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

Answer: C

NEW QUESTION # 43
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?

A. Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table
B. Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field
C. Open the data manager, split the Customers table, and associate both tables on CustomerlD field
D. Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD

Answer: D

NEW QUESTION # 44
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 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
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 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 # 45
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.)

A. Remove the rename statement (line 24) in the ProductPriceList table leaving the Product field name as is.
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. insert "Join (ProductDetails)" in front of the Load statement in line 24 to combine ProductPriceList with ProductDetails

Answer: C

NEW QUESTION # 46
A data architect executes the following script:

What will be the result of Table A?
A)

B)

C)

D)