Qlik Sense Data Architect QSDA2021 Exam Dumps and Certification Test Engine [Q12-Q35]

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NEW QUESTION 12
Refer to the exhibit.

On executing a load script of an app, the country field needs to be normalized. The developer uses a mapping table to address the issue.
What should the data architect do?

  • A. Use LOAD DISTINCT on the mapping table
  • B. Review the values of the source mapping table
  • C. Use a LEFT JOIN instead of the APPLYMAP
  • D. Create two different mapping tables

Answer: B

 

NEW QUESTION 13
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. Simplify
  • B. AddressLookup
  • C. Intersect
  • D. Binning

Answer: D

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 14
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?

  • A. Apply a preceding LOAD from the TeamMembers table with the SUBFIELD function and rename the field to Sport
  • B. Apply a preceding LOAD to the MasterSports table with the SUBFIELD function to create the Sport field
  • C. Apply a FOR loop to load to the MasterSports table creating the values for the Sport field

Answer: C

 

NEW QUESTION 15
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?

  • A. 1. Create a link table with master calendar fields
    2. Create a single filter using fields from the master calendar
  • B. 1. Create a master calendar table as a data island
    2. Create a single filter using fields from the master calendar
  • C. 1. Create a master calendar and join into the Shipments and Orders table
    2. Create a single filter using fields from the Shipments table
  • D. 1. Load the Shipments and Orders table via the data manager
    2. Create a single filter using fields from the Orders table

Answer: A

 

NEW QUESTION 16
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. 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
  • 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. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values

Answer: D

 

NEW QUESTION 17
Refer to the exhibits.

While debugging an app, a developer loads data from an application layer QVD file.
In the process of separating a concatenated key into two parts, some split results are missing data What should the data architect do?
1. Utilize a combination of LEFT(), MID(), and RIGHT() functions to capture the key components
2. In the SUBFIELD function, replace the '_' with a '|' or '_' character.
While debugging an app, a developer loads data from an application layer QVD file.
In the process of separating a concatenated key into two parts, some split results are missing data What should the data architect do?

  • A. Wrap an IF() function around the SUBFIELDQ functions to check and adapt to null values character
  • B. Utilize a combination of LEFT(), MID(), and RIGHTO functions to capture the key components
  • C. In the SUBFIELD function, replace the '- with a '|' or '-' character
  • D. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
  • E. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
  • F. Wrap an IF() function around the SUBFIELD() functions to check and adapt to null values

Answer: A

 

NEW QUESTION 18
A data architect executes the following script:

What will Field_1 contain after this script is executed?

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

Answer: C

 

NEW QUESTION 19
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. 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. Remove the rename statement (line 24) in the ProductPriceList table leaving the Product field name as is.
  • D. Rename the Category field in the ProductPriceLis table to PnceCategory (line 24).

Answer: D

 

NEW QUESTION 20
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 21
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 Generic Load in the Product table and a For loop to left join each Generic table
  • B. Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together
  • C. Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table

Answer: A

 

NEW QUESTION 22
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 flags in the data model to simplify set analysis
  • B. Denormalize the schema
  • C. Make sure any Ul variables are preceded by '='
  • D. Use dynamic script generation with variables
  • E. Create master items for all complex expressions

Answer: A,D

 

NEW QUESTION 23
Refer to the exhibit.

A company has different departments. Executive and Sales should always be the first values in a Department filter pane. Which script must the data architect use to meet this requirement?
A)

B)

C)

D)

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

Answer: B

 

NEW QUESTION 24
Refer to the exhibit.

The Section Access security table for an app is shown. User ABC\PPP opens a Qlik Sense app with a table using the field called LEVEL on one of the table columns.
What is the result?

  • A. The user gets an "incomplete visualization" error
  • B. The table is displayed without the LEVEL column.
  • C. The table is removed from the user interface.
  • D. The user gets a "Field not found" error.

Answer: A

 

NEW QUESTION 25
Refer to the exhibit.

Which changes on the database will the script capture?

  • A. Insert and Update rows
  • B. Insert and Remove rows
  • C. Update and Remove rows
  • D. Insert. Update, and Remove rows

Answer: D

 

NEW QUESTION 26
Refer to the exhibit.

Refer to the exhibit
A data architect is working on an app that contains orders, invoices, and shipping dat a. There are three different date fields within the data:
* OrderDate
* InvoiceDate
* ShippingDate
The business analyst needs to replicate the chart above to show Order and Shipping amounts on the same Month axis.
What should the data architect do?

  • A. Left Join the three date fields onto one bridge table using the key field containing KeyField and Date
  • B. Load the key field and the three date fields into a concatenated bridge table that contains KeyField and Date
  • C. Create a Month field for each of the three dates in the fact table and use that in the chart

Answer: B

 

NEW QUESTION 27
A data architect executes the following script.

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

  • A. 20210131,2020/01/31,31/01/2019
  • B. 20210131, 2020/01/31, 31/01/2019, 31/12/20
  • C. 20210131, 2020/01/31, 31/01/2019, 0
  • D. 20210131, 2020/01/31, 31/01/2019, 9999

Answer: B

 

NEW QUESTION 28
A data architect needs to load Table_A from an Excel file and sort the data by Field_2.
Which script should the data architect use?
A)

B)

C)

D)

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

Answer: B

 

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 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
  • 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 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

Answer: B

 

NEW QUESTION 30
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. Data island
  • B. Multiple calendars
  • C. Generic load
  • D. Link table
  • E. Canonical calendar

Answer: D,E

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 31
Refer to the exhibit.

A data architect needs to modify the script to ONLY load rows from Table_B when Field_1 and Field_2 are the same as in Table_A.
(For example, only the row containing A, 1, 456 should be loaded from Table_B.)
Which script should the data architect use?

  • A.
  • B.
  • C.
  • D.

Answer: C

 

NEW QUESTION 32
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