[2024] Use Valid New QSDA2022 Test Notes & QSDA2022 Valid Exam Guide [Q43-Q62]

Rate this post

[2024] Use Valid New QSDA2022 Test Notes & QSDA2022 Valid Exam Guide

QSDA2022 Actual Questions Answers PDF 100% Cover Real Exam Questions

Qlik Sense Data Architect Certification Exam – 2022, also known as QSDA2022, is an industry-recognized certification exam that is designed to test the knowledge and skills of individuals who are interested in becoming certified Qlik Sense data architects. Qlik Sense Data Architect Certification Exam – 2022 certification exam is intended for professionals who have experience in data modeling, data analysis, and data integration using Qlik Sense.

QUESTION 43

Refer io 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)

Option A

Option B

Option C

Option D

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?

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

QUESTION 45
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.
Whichfeatures 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

QUESTION 46
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

QUESTION 47
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

QUESTION 48
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

QUESTION 49
Refer to the exhibit.
A data architect is loading two tables into a data model from a SQL database These tables are related on key fields CustomerlD and CustomerKey.
Which script is valid to load the tables and maintain the correct association?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

QUESTION 50
Refer to the exhibit.

The data architect needs to create a KPI that displays the average amount of orders per customer. This aggregated field should be added to the existing orders table Which script should the data architect use?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

QUESTION 51
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?

QUESTION 52
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 toimprove performance? (Select two.)

Use dynamic script generation with variables

Denormalize the schema

Make sure any Ul variables are preceded by ‘=’

Use flags in the data model to simplify set analysis

Create master items for all complex expressions

QUESTION 53
Refer to the exhibit.

A data architect loads sales data and creates a table which shows only customers who made purchases in 2018 and 2019. The data architect applies the following set analysis expression on the sales measure.
Count<{<Year={‘2 018’}, CustomerID=P({<Year={‘2019*}>})>} Customer ID)
Which option shows the resulting table after the expression is applied?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

QUESTION 54
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?

QUESTION 55
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:

QUESTION 56
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

QUESTION 57
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

QUESTION 58

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?

Use a LEFT JOIN instead of the APPLYMAP

Use LOAD DISTINCT on the mapping table

Create two different mapping tables

Review the values of the source mapping table

QUESTION 59
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

QUESTION 60
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 aQVD 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 andupdated 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 fromthe 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 onthe previous table.

QUESTION 61
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 AutoNumberfunction on the OrderlC field

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

QUESTION 62

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

Qlik QSDA2022 exam consists of multiple-choice questions that cover a range of topics related to Qlik Sense data architecture. QSDA2022 exam measures the candidate’s understanding of data modeling concepts, data source connectivity, data transformations, data security, and performance optimization techniques. Additionally, the exam also evaluates the candidate’s ability to troubleshoot and debug Qlik Sense data models.

QSDA2022 Exam questions and answers: https://www.examcost.com/QSDA2022-practice-exam.html