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The QSDA2021 exam is a comprehensive assessment of a candidate's skills in utilizing Qlik Sense data architecture tools. The exam consists of multiple-choice questions, and candidates are given 120 minutes to complete it. The exam is available in several languages, including English, French, German, Japanese, and Spanish.
The QSDA2021 certification is essential for data professionals who work with Qlik Sense on a daily basis, including data architects, data engineers, data analysts, and business intelligence professionals. This certification demonstrates that an individual has the skills and knowledge necessary to design, develop, and manage complex data models and visualizations within Qlik Sense. Additionally, it can help professionals stand out in a competitive job market and potentially lead to career advancement opportunities.
The QSDA2021 exam is ideal for data architects who want to demonstrate their skills in designing and managing data models using Qlik Sense. The exam covers a wide range of topics, including data modeling, data source connectivity, data transformation, data security, and data governance. This certification exam is designed to ensure that data architects have the necessary skills and knowledge to work with Qlik Sense effectively.
NEW QUESTION # 23
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 user gets a "Field not found" error.
- C. The table is removed from the user interface.
- D. The table is displayed without the LEVEL column.
Answer: A
NEW QUESTION # 24
A data architect needs to develop multiple apps for various departments. More departments are requesting apps over time The company uses specific requirements for the number interpretation variables (e.g., ThousandSep, DecimalSep) found at the beginning of a LOAD script.
The data architect wants to reduce duplicate scripts but does not want to copy and paste the number interpretation variables each time new app is created. The data architect prefers to use the least amount of script in Qlik Sense.
How should the data architect meet these requirements?
- A. Save the script for the number interpretation variables in a text file and INLUDE function to insert the variables
- B. Create an Excel file with the number interpretation variables and apply the variables to the app using a mapping table
- C. Save the script for the number interpretation variables in a text file and use the CALL function to insert the variables.
- D. Create an Excel file with the number interpretation variables and use a FOR Next loop to load the variables into Qlik Sense
Answer: A
Explanation:
This method involves saving the script for the number interpretation variables in a separate text file, and then using the INCLUDE function to insert the variables into each new app script that is created. This reduces the need to copy and paste the number interpretation variables each time a new app is created and allows the data architect to use the least amount of script in Qlik Sense.
The INCLUDE function is a script statement that allows you to insert the contents of one script file into another script file. This can be used to insert common scripts, such as the number interpretation variables, into multiple app scripts.
NEW QUESTION # 25
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: A
NEW QUESTION # 26
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, 0
- B. 20210131, 2020/01/31, 31/01/2019, 9999
- C. 20210131, 2020/01/31, 31/01/2019, 31/12/20
- D. 20210131,2020/01/31,31/01/2019
Answer: C
NEW QUESTION # 27
A data architect executes the following script:
What will be the result of Table A?
A)
B)
C)
D)
- A. Option D
- B. Option C
- C. Option A
- D. Option B
Answer: A
NEW QUESTION # 28
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. Create two different mapping tables
- B. Use a LEFT JOIN instead of the APPLYMAP
- C. Use LOAD DISTINCT on the mapping table
- D. Review the values of the source mapping table
Answer: D
NEW QUESTION # 29
A data architect executes the following script:
What will Field_1 contain after this script is executed?
- A. Abed, abed, ABCD, ABCDABCD
- B. Abed, abed, ABCD
- C. Abcd, abcd
- D. abcd
Answer: B
NEW QUESTION # 30
Refer to the exhibit.
Which changes on the database will the script capture?
- A. Update and Remove rows
- B. Insert. Update, and Remove rows
- C. Insert and Remove rows
- D. Insert and Update rows
Answer: B
NEW QUESTION # 31
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?
- A. APPLYMAP ( 'Associations , EmployeeKey ) as Employeekey;
- B. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;
- C. MAP EmloyeeKey USING Associations;
- D. RENAME FIELDS USING Associations;
Answer: C
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.
NEW QUESTION # 32
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?
- A. Create only a single app with all the master items needed and protect it with SECTION ACCESS.
- B. Create a core app with all the master items needed and use a BINARY load in the other apps.
- C. Create a selection app with all the master items and use an on-demand app generation method.
- D. Create a variable repository and load them using INCLUDE statements in the apps where needed
Answer: D
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 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.
NEW QUESTION # 33
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 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 - C. 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 - D. 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
Answer: C
NEW QUESTION # 34
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)
- A. Option D
- B. Option C
- C. Option A
- D. Option B
Answer: B
NEW QUESTION # 35
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 D
- B. Option C
- C. Option A
- D. Option B
Answer: B
NEW QUESTION # 36
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 D
- B. Option C
- C. Option A
- D. Option B
Answer: A
NEW QUESTION # 37
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. Utilize a combination of LEFT(), MID(), and RIGHTO functions to capture the key components
- B. Wrap an IF() function around the SUBFIELD() functions to check and adapt to null values
- C. Wrap an IF() function around the SUBFIELDQ functions to check and adapt to null values character
- D. In the SUBFIELD function, replace the '- with a '|' or '-' character
- E. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
- F. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
Answer: C
NEW QUESTION # 38
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. Load the Shipments and Orders table via the data manager
2. Create a single filter using fields from the Orders table - 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 link table with master calendar fields
2. Create a single filter using fields from the master calendar - D. 1. Create a master calendar and join into the Shipments and Orders table
2. Create a single filter using fields from the Shipments table
Answer: C
NEW QUESTION # 39
Refer to the exhibit.
A data architect executes the script.
What will be the value of the first row for Field_1?
- A. 0
- B. A
- C. D
- D. Null
Answer: C
NEW QUESTION # 40
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 D
- B. Option C
- C. Option A
- D. Option B
Answer: A
NEW QUESTION # 41
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:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 42
ITALY IT001 HR
GERMANY DE002 HR
SPAIN SP03 FINANCE
FRANCE FRO04 SALES
Refer to the exhibit
A company stores the employee data within a key composed of Country UserlD, and Department. These fields are separated by a blank space. The UserlD field is composed of two characters that indicate the country followed by a unique code of two or three digits. A data architect wants to retrieve only that unique code.
- A. LTRIM (SUBFIELD (Key, ' ', 2), 2)
- B. RIGHT(SUBFIELD (Key,' ', 2), 3)
- C. LEFT(SUBFIELD(Key, ' ', 2), 2)
- D. MID ( SUBFIELD (Key , ' ', 2), 3)
Answer: C
Explanation:
This expression will extract the unique code from the key by using the SUBFIELD function to separate the key into its components, and then using the LEFT function to extract the first two characters of the second component. Source: Qlik
NEW QUESTION # 43
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