Based on Official Syllabus Topics of Actual Qlik QSDA2022 Exam [Q38-Q58]

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Based on Official Syllabus Topics of Actual Qlik QSDA2022 Exam

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Q38. A data architect completes development of a new app with two data sources Both data sources will also be used by other apps in the future The sources have different data refresh frequencies
* Source 1 Contains frequently updated data and must be refreshed hourly
* Source 2 Contains data that is transferred from a partner and must be refreshed weekly Tasks must be created to load the data sources and make sure that the new app uses the most current data The data will be stored in two QVDs Which tasks should be created to meet these requirements’?

1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Tasks 1 or 2 that loads the two QVDs

1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs

1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3 Schedule a task for the app that is dependent on completion of Tasks 1 and 2 that loads the two QVDs

Explanation
This option ensures that the data in the two data sources is always up-to-date by scheduling the data refresh tasks to run at the appropriate frequencies. Task 1 runs hourly to refresh data from Source 1, and Task 2 is dependent on Task 1 so that it runs only after Task 1 is completed. This ensures that the data from Source 2 is loaded only after the most current data from Source 1 is loaded.

Q39. A data architect plans to build an app that contains geographically diverse data that must be specific to user run-time selections. The source contains transactional data. The app must have minimal impact on already limited server resources.
Which approach should the data architect use?

Loop and Reduce

QVDs

In-memory

ODAG

Explanation
Using QVDs is the best approach for this scenario, as it allows the data to be stored in a highly compressed format, which will have minimal impact on server resources. Additionally, QVDs can be loaded quickly, which allows for faster access to the data based on user run-time selections. The other options, Loop and Reduce, In-memory, and ODAG, are not valid strategies for this scenario.

Q40. A data architect needs to create an app that combines employee data from the Sales system and the Human Resources (HR) system.
These systems identify employees differently Employees in the HR system are identified with an alpha-numeric key Employees in the Sales system are identified using an integer key.
The Human Resources manager creates a table that maps these keys to another, called Associations.
The resultant data model must meet the following requirements:
* Associations must be valid
* The model must be optimized for performance
* The option must support multiple tables added
Which solution should the data architect use to meet these requirements?

APPLYMAP ( ‘Associations , EmployeeKey ) as Employeekey;

MAPSUBSTRING ( ‘Associations’ ,EMployeekey) As Employeekey;

MAP EmloyeeKey USING Associations;

RENAME FIELDS USING Associations;

Explanation
The MAP function maps the EmployeeKey in the Sales system to the EmployeeKey in the HR system using the Associations table. This allows the data architect to join the data from the Sales system and the HR system using the same key, ensuring that the associations are valid.
Using the MAP function also optimizes the performance of the data model as it eliminates the need for multiple joins between the data from the Sales and HR systems.
This solution also supports multiple tables added, as the MAP function can be applied to any table that needs to be joined with the HR system data.

Q41. Refer to the exhibit.

A business department is forecasting revenue within an Excel spreadsheet.
A data architect needs to include this forecast into the existing data model, and without losing any data.
Which two sets of steps will meet these requirements? (Select two.)

1. Load the Excel spreadsheet using the data load editor
2. Use the Unpivot function
3 Use the Sum function to group the forecast by date
4 Connect to the existing data model

1. Load the Excel spreadsheet using the data load editor
2 Use the Crosstable function to unpivot the table
3 Create a composite key out of the date and region
4 Connect the new table to the data model

1 Load the Excel spreadsheet using the data load editor
2. Change the sort order by date
3. Create a composite key out of the forecast and region 4 Connect to the existing data model

1 Load the Excel spreadsheet into the data manager
2. Use the Unpivot function
3. Create a composite key from the date and region
4. Connect the new table to the data model
1 Load the Excel spreadsheet using the data manager
2 Rename the ForecastDate field to Date 3. Disable the Region
4 Connect to the existing data model

Explanation
Option B involves loading the Excel spreadsheet using the data load editor and then using the Crosstable function to unpivot the table, creating a composite key out of the date and region, and connecting the new table to the existing data model. Option D involves loading the Excel spreadsheet using the data manager, using the Unpivot function, creating a composite key from the date and region, and connecting the new table to the existing data model.

Q42.

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

Q43. 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 allthe master items needed and protect it with SECTION ACCESS.

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 inone place and have the changes reflected in all the apps.Source: Qlik A variable repository is a centrallocation 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 oneplace, 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.

Q44. A data architect needs to develop a script to export tables from a model based upon rules from an independent file. Thestructure of the text file with the export rules is as follows:

These rules govern which table in the model to export, what the target root filename should be, and the number of copies to export.
The TableToExport values are already verified to existin the model.
In addition, the format will always be QVD, and the copies will be incrementally numbered.
For example, the Customer table would be exported as:
What is the minimum set of scripting strategies the data architect must use?

Two loopswithout any conditional statement

One loop and two IF statements

Two loops and one IF statement

One loop and one SELECT CASE statement

Explanation
The data architect will need to use a single loop to iterate through the rows of the independent filecontaining the export rules. Within the loop, they will need to use a SELECT CASE statement to determine which table in the model to export based on the TableToExport value in the current row of the independent file. They can then use the StoreAsFilenamevalue to determine the target root filename, and the NumberOfCopies value to determine the number of copies to export.
This approach makes use of a single loop to iterate through the rows of the independent file, and a SELECT CASE statement to determine which table to export based on the TableToExport value in the current row. It is the most efficient way to accomplish the task with minimal scripting.
You can find the Qlik scripting documentation for Store statement
here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptPrefixes/Store.htman SELECT CASE statement here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptStatements/Select.htm

Q45. A global retailer has a large database in which millions of sales transactions are added per hour.
Each regional sales manager should only see details for customers in their region. After filtering based on criteria such as region, gender,and income level, sales managers should be able to see the most current detailed transactions.
What should a data architect do to meet these requirements?

Create an app for each sales manager with Qlik GeoAnalytics

Use section access and include aservice account in the table

Use On-Demand App Generation (ODAG) and section access

Use section access to restrict sales manager access by region

Q46. Refer to the exhibits.

A business analyst needs to see the currency conversion provided by a third party process, and only contains a record when the rate changes in a chart. The currency conversion rate data is An existing master calendar exists in the data model that contains a full set of dates.
Which technique should the data architect use to meet this requirement?

Utilize INTERVALMATCH to load the currency conversion rate between dates theconversation changed INNER JOIN the resultant table back into the master calendar

OUTER JOIN the calendar with the currency conversion table
ORDER BY the date and use the PEEK function to fill in blank values

Leverage a FOR loop between the start date and end date of the master calendar Use the MATCH function to add the currency conversion rates to the master calendar

Use ITERNO and AUTOGENERATE to create a new calendar from max and min dates of the currency conversion table

Q47. 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

Q48. Refer to the exhibit.

A data architect is working with an app and creates some visualizations to check the data. Some visualizations showissues 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.)

The Month field does not exist in the Orders table and needs to be incorporated in the table using he Calendar table.

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

In the Orders table, some values in the CustomerlD field do not exist in the Customers table.

The OrderDate field values in the Calendar table do not match with the values in the OrderDate field from the Orders table

Q49. Refer to the exhibit.

An existing app on Qlik Sense Enterprise is duplicated and transferred to a data architect to add some additional data When trying to manually reload the original script, the data architect receives an error What should be done to make sure the script runs correctly?

Add the line lib connect to ‘QVD(abc_qservice/orderData.qvd) ‘; before the LOAD for the Order Data table

Add the line lib connect to ‘ SQL (abc_qs9rvi.es) ‘ ;before the LOAD for the Order Detail table

Give the data architect the Read rights on the data connections in the QMC

Make the data architect the owner of the app in the QMC

Q50. Refer to the exhibit.

A business analyst reports that the ‘CompanyAge’ field does NOT display for users The data architect examines the LOAD script and wants to place the breakpoint in the script to check the field name.
Which line number should the data architect use?

242 because field name appears in the output Panel of the debugger

251 because the field name appears in the Variable panel of the debugger

251 because the field name appears in the Qlik Log files

251 because the field name appears in the Output panel of the debugger

Q51. A data architect is developing an app that will generate QVDs for multiple business analysts. The field naming conventions on the source data are NOT business friendly. For every table loaded, multiple fields will require a name change.
An Excel file is maintained centrally that lists all source data field names and the appropriate names as they should appear in the QVDs Which strategy should the data architect use to meet these requirements?

Use the Rename function and a mapping load

Create master items using business-friendly names

Use the Alias function and a mapping load

Load in the Excel file as a data island and use the Peek function

Explanation
The Rename function allows the data architect to rename fields from the source data to the names specified in the Excel file. The mapping load allows the data architect to load the mapping between the source field names and the business-friendly names from the Excel file. The other options, Create master items using business-friendly names, Use the Alias function and a mapping load, and Load in the Excel file as a data island and use the Peek function, are not valid strategies for meeting these requirements.

Q52. Refer to the exhibits.

A music teacher needs to know which artists are eligible to enter this year’s competition.
The teacher needs to find only the artists who have a music grade rank above two and play more than one instrument.
Which expression is needed for the Number of Instruments measure in the table?

Count({$<Artist={“=Count(Instrument)>=2”}, Artist={“=Grade>2”}>}Instrument)

Count({S<Count(Instrument)={“>=2”}, Grades={“>2”}>}Instrument)

Count({$<Instrument={“>=2”}, Artist={“=Grade>2”}>}Instrument)

Count ({S<Artist={“=Count(Instrument)>=2M}, Grades={“>2”}>}Instrument)

Explanation
The correct expression to use for the Number of Instruments measure in the table is Option A.
This expression will count the number of instruments played by artists with a music grade rank greater than two.
How to build a data architecture to drive innovation–today and …
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/how-to-build-a-data-architecture-to-drive- Big data in healthcare: management, analysis and future prospects …
https://journalofbigdata.springeropen.com/articles/10.1186/s40537-019-0217-0 Obtaining Data From Electronic Health Records – Tools and …
https://www.ncbi.nlm.nih.gov/books/NBK551878/

Q53.

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?

Q54.

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 theOriginal 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

Q55. Refer to the exhibit.

Refer to the exhibits.
While using an app, the users report that some Sales Reps do NOT have personal details, like Division or Address Number A data architect has been called in to investigate.
The data architect uses the data model viewer to determine the relationship between the SalesRepMaster and CustomerMaster tables.
What is the cause of the issue?

26 values for Sales Rep are null in CustomerMaster

40.7% of the Sales Rep have CustomerMaster information

59.3% of the Sales Rep have CustomerMaster information

Density is 100% while Total Distinct and Present Distinct are NOT the same

Explanation
When using the data model viewer to investigate the relationship between the SalesRepMaster and CustomerMaster tables, the data architect would look at the density of the relationship. Density is a measure of how well the key fields of a table match the key fields of another table. A density of 100% means that all key fields in one table have a match in the other table.
When the density is 100% but the total distinct and present distinct values for the key fields of the related tables do not match, it means that some of the key fields in one table do not have a match in the other table, this is the cause of the issue.

Q56. A company generates 1 GB of ticketing data daily. The data is stored in multipletables 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 ofdata 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

Q57. 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 theOrderDetails 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 OrderDateand 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 andOrderDetails
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

Q58. A data architect needs to add the UnitCost field from the ProductCost table in the Dim_Products Table.
Which script code should the data architect use?