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QSDA2024 Practice Questions

Question # 1
A company generates 1 GB of ticketing data daily. The data is stored in multiple tables. 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?
A. Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use
B. Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data
C. Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data
D. Load only aggregated data for 2 years and apply filters on a sheet for transaction data


C. Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data


Question # 2
A data architect 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. 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.
C. 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.
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.


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.


Question # 3
What is the role of a Qlik Sense Data Architect?
A. The Data Architect is responsible for developing visualizations in Qlik Sense applications.
B. The Data Architect manages the creation and optimization of the data model, including data extraction, transformation, and loading (ETL) processes.
C. The Data Architect manages user access and security configurations in Qlik Sense.
D. The Data Architect is responsible for managing the Qlik Sense server environment and its hardware components.


B. The Data Architect manages the creation and optimization of the data model, including data extraction, transformation, and loading (ETL) processes.


Question # 4
A data architect receives an error while running script.

What will happen to the existing data model?
A. The data model will be removed from the application.
B. The latest error-free data model will be maintained.
C. Newly loaded tables will be merged with the existing data model until the error is resolved.
D. The data model will be replaced with the tables that were successfully loaded before the error.


B. The latest error-free data model will be maintained.


Question # 5
A data architect inherits an app that takes too long to load and overruns the data load window.

The app pulls all records (new and historical) from three large databases. The reload process puts a heavy load on the source database servers. All of the data is required for analysis.

What should the data architect do?
A. Make sure the individual reload tasks in the QMC are not running in parallel
B. Implement Direct Discovery with partial load
C. Implement incremental load on each database using QVD files
D. Implement ODAG to split out the app into smaller chunks


C. Implement incremental load on each database using QVD files


Question # 6
Which of the following methods can be used to load data into Qlik Sense?
A. Direct SQL queries
B. Data Load Editor
C. Qlik Web Connector
D. All of the above


D. All of the above


Question # 7
A data architect receives an error while running script. What will happen to the existing data model?
A. The data model will be removed from the application.
B. The latest error - free data model will be maintained.
C. Newly loaded tables will be merged with the existing data model until the error is resolved.
D. The data model will be replaced with the tables that were successfully loaded before the error.


B. The latest error - free data model will be maintained.


Question # 8
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. Temp:

LOAD -
Field_1,
Field_2,


Field_3 -
FROM [lib://Data/Table_A.xlsx]
(ooxml, embedded labels, table is Sheet1);

Table_A:
LOAD *
resident Temp Order by Field_2 asc;
drop Table Temp;
B. Table_A:

LOAD -
Field_1,
Field_2,


Field_3 -
FROM [lib://Data/Table_A.xlsx]
(ooxml, embedded labels, table is Sheet1);
Order by Field_2 asc;
C. Temp:

LOAD -
Field_1,
Field_2,


Field_3 -
FROM [lib://Data/Table_A.xlsx]
(ooxml, embedded labels, table is Sheet1);

NoConcatenate -

Table_A:
LOAD *
resident Temp Order by Field_2 asc;
drop Table Temp;
D. Table_A:

LOAD *
Order by Field_2 asc;


LOAD -
Field_1,
Field_2,

Field_3 -
FROM [lib://Data/Table_A.xlsx]
(ooxml, embedded labels, table is Sheet1);


A. Temp:

LOAD -
Field_1,
Field_2,


Field_3 -
FROM [lib://Data/Table_A.xlsx]
(ooxml, embedded labels, table is Sheet1);

Table_A:
LOAD *
resident Temp Order by Field_2 asc;
drop Table Temp;


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Qlik QSDA2024 Exam Dumps

Exam Name: Qlik Sense Data Architect 2024
Certification Name: Qlik Sense Data Architect

Qlik QSDA2024 exam dumps are created by industry top professionals and after that its also verified by expert team. We are providing you updated Qlik Sense Data Architect 2024 exam questions answers. We keep updating our Qlik Sense Data Architect practice test according to real exam. So prepare from our latest questions answers and pass your exam.

  • Total Questions: 50
  • Last Updation Date: 15-Apr-2025

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