100% Reliable QSDA2021 Exam Dumps Test Pdf Exam Material [Q25-Q44]

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100% Reliable Microsoft QSDA2021 Exam Dumps Test Pdf Exam Material

Based on Official Syllabus Topics of Actual Qlik QSDA2021 Exam

Q25. 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?

Use where exists (ID, StorelD)

Use where exists (ID)

Use Concatenate before loading the Stores table

Q26. 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?

Utilize a combination of LEFT(), MID(), and RIGHTO functions to capture the key components

In the SUBFIELD function, replace the ‘- with a ‘|’ or ‘-‘ character

Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field

Wrap an IF() function around the SUBFIELDQ functions to check and adapt to null values character

Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field

Wrap an IF() function around the SUBFIELD() functions to check and adapt to null values

Q27. 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?

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

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

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

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

Q28. 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.

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.

Q29. Refer to the exhibit.

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

The user gets a “Field not found” error.

The table is removed from the user interface.

The user gets an “incomplete visualization” error

The table is displayed without the LEVEL column.

Q30. 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?

ApplyMap with two parameters after the Mapping load

Left Join between tables and Description xlsx in every Department table

Enter “Missing description” in the blank rows for Description xlsx then Mapping Load

ApplyMap with three parameters after the Mapping load

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

Q31. Refer to the exhibit.

A data architect is loading the tables and a synth key is generated.
How should the data architect resolve the synthetic key?

Remove the LineNo field from Shipments and use the AutoNumber function on the

Create a composite key using OrdertD and LineNo

Remove the LineNo field from both tables and use the AutoNumber function on the OrderlC field

Create a composite key using OrderlD and LineNo. and remove OrderlD and LineNo from Shipments

Q32. 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?

Create a Month field for each of the three dates in the fact table and use that in the chart

Load the key field and the three date fields into a concatenated bridge table that contains KeyField and Date

Left Join the three date fields onto one bridge table using the key field containing KeyField and Date

Q33. 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?

Section access and set analysis

QMC security rules and section access

QMC security rules and custom properties

Section access and sheet properties

Q34. 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

Q35. 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.

Q36. 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

Q37. A data architect needs to write the expression for a measure on a KPI to show the sales person with the highest sales The sort order of the values of the fields is unknown When two or more sales people have sold the same amount, the expression should return all of those sales people Which expression should the data architect use?

FirstSortedValue (Salesperson, -Aggr (Sum(Sales) , Salesperson) )

Concat(DISTINCT IF (Aggr (Rank (Sum (Sales) , 4) , Salesperson) =1, Salesperson) , ‘ ‘)

FirstSortedValue (DISTINCT Salesperson, -Aggr (Sum(Sales) , Salesperson) )

Concat (DISTINCT IF (Aggr (Rank (Sum (Sales) , 1) , Salesperson) =1, Salesperson) , ‘ ‘)

Q38. 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?

Use the data manager

Load a calendar island

Create a canonical calendar

Create five master calendars

Q39. 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?

Binning

Intersect

AddressLookup

Simplify

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.

Q40. 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?

Q41. 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

Q42. 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?

An Omit field has been applied

Section access restricts too many records

A security rule has been applied to the sheet object

The affected users were NOT added to the Section table

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.

Q43. 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?

Q44. 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

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Qlik QSDA2021 Exam Syllabus Topics:

Topic	Details
Topic 1	Determine dimensionality and need for slowly changing dimensionality support Given a scenario, determine the data sources and connectors needed
Topic 2	Given a scenario, determine the appropriate method to validate and test scripts Determine the correct method to document Data Load scripts
Topic 3	Determine the appropriate method to create connections for data sources Determine the correct method to perform script organization and cleansing
Topic 4	Analyze relevant variables to build scripts for incremental loading for extract layer etermine the correct method to implement data structures efficiently
Topic 5	Determine the correct method for date handling techniques Given a scenario, identify the appropriate type of data model
Topic 6	Given a scenario, determine the appropriate method to validate and test data Determine primary requirements with business users
Topic 7	Determine the correct method to optimize the data model for Qlik Sense Determine the correct method to build data content based on requirements
Topic 8	Given a scenario, determine the measures and attributes from each data source Analyze and evaluate null and blank data handling required to support filtering