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Quiz QSDA2024 - Efficient Qlik Sense Data Architect Certification Exam - 2024 Latest Study Notes

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Qlik Sense Data Architect Certification Exam - 2024 Sample Questions (Q16-Q21):

NEW QUESTION # 16
A data architect needs to load data from two different databases. Additional data will be added from a folder that contains QVDs, text files, and Excel files.
What is the minimum number of data connections required?

A. Four
B. Two
C. Five
D. Three

Answer: B

Explanation:
In the scenario, the data architect needs to load data from two different databases, and additional data is located in a folder containing QVDs, text files, and Excel files.
Minimum Number of Data Connections Required:
* Database Connections:
* Each database requires a separate data connection. Therefore, two data connections are needed for the two databases.
* Folder Connection:
* A single folder data connection can be used to access all the QVDs, text files, and Excel files in the specified folder. Qlik Sense allows you to create a folder connection that can access multiple file types within that folder.
Total Connections:
* Two Database Connections: One for each database.
* One Folder Connection: To access the QVDs, text files, and Excel files.
Therefore, the minimum number of data connections required istwo.

NEW QUESTION # 17
Exhibit.

Refer to the exhibits.
The Orders table contains a list of orders and associated details. A data architect needs to replace the SupplierlD with the SupplierName using the second table as the source.
The output must be a single table.
Which script should the data architect use?

Answer: D

Explanation:
In this scenario, the data architect needs to replace the SupplierID in the Orders table with the corresponding SupplierName from the Suppliers table, and the desired output should be a single table that includes all the order details along with the SupplierName instead of the SupplierID.
Analyzing the Options:
* Option A:
* Uses a MAPPING LOAD followed by an APPLYMAP to replace SupplierID with SupplierName in the Orders table. However, the table is dropped afterward, which means it won't produce the required output.
* The MAPPING LOAD approach is generally used to map values but is not necessary in this context as we are combining data from two tables directly.
* Option B:
* This option attempts to LEFT JOIN the Products table with the Suppliers table, but it does not directly address replacing SupplierID with SupplierName in the Orders table.
* Additionally, it does not remove the SupplierID after the join, which is essential for the correct output.
* Option C:
* This option uses a LEFT JOIN with the DISTINCT keyword on the SupplierID field to avoid duplicates. The SupplierName is correctly joined to the Orders table, replacing the SupplierID.
* This approach is the most appropriate because it results in a single table containing all order details with the SupplierName instead of the SupplierID.
* Option D:
* Similar to Option A, but it also introduces an unnecessary renaming step with MAPPING LOAD.
It's redundant and does not improve the solution over Option C.
Correct Script Choice:
Option Cis the correct script because:
* It ensures that SupplierName replaces SupplierID in the Orders table using a LEFT JOIN.
* The DISTINCT keyword is applied to the SupplierID field to prevent duplicate rows during the join.
* The result is a single table containing the required information with SupplierName in place of SupplierID.
References:
* Qlik Sense Join Operations: Using the correct JOIN type and ensuring proper deduplication (with DISTINCT if necessary) is key to merging tables in Qlik Sense.

NEW QUESTION # 18
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:

How many tables will this script create?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
In this scenario, the data architect is using a GENERIC LOAD statement in the script to handle the data structure provided. A GENERIC LOAD is used in Qlik Sense when you have data in a key-value pair structure and you want to transform it into a more traditional table structure, where each attribute becomes a column.
Given the input data table with three columns (Object, Attribute, Value), and the attributes in the Attribute field being either color, diameter, length, or width, the GENERIC LOAD will create separate tables based on the combinations of Object and each Attribute.
Here's how the GENERIC LOAD works:
* For each unique object(circle, rectangle, square), the GENERIC LOAD creates separate tables based on the distinct values of the Attribute field.
* Each of these tableswill contain two fields: Object and the specific attribute (e.g., color, diameter, length, width).
Breakdown:
* Table for circle:
* Fields: Object, color, diameter
* Table for rectangle:
* Fields: Object, color, length, width
* Table for square:
* Fields: Object, color, length
Each distinct attribute (color, diameter, length, width) and object combination generates a separate table.
Final Count of Tables:
* The script will create6 separate tables: one for each unique combination of Object and Attribute.
References:
* Qlik Sense Documentation on Generic Load: Generic loads are used to pivot key-value pair data structures into multiple tables, where each key (in this case, the Attribute field values) forms a new column in its own table.

NEW QUESTION # 19
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.
Which function should the data architect use?

Answer: B

Explanation:
In this scenario, the key is composed of three components: Country, UserID, and Department, separated by spaces. The UserID itself consists of a two-character country code followed by a unique code of two or three digits. The objective is to extract only this unique numeric code from the UserID field.
Explanation of the Correct Function:
* Option A: RIGHT(SUBFIELD(Key, ' ', 2), 3)
* SUBFIELD(Key, ' ', 2):This function extracts the second part of the key (i.e., the UserID) by splitting the string using spaces as delimiters.
* RIGHT(..., 3):After extracting the UserID, the RIGHT() function takes the last three characters of the string. This works because the unique code is either two or three digits, and the RIGHT() function will retrieve these digits from the UserID.
This combination ensures that the data architect extracts the unique code from the UserID field correctly.

NEW QUESTION # 20
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
B. 20210131, 2020/01/31, 31/01/2019, 9999
C. 20210131, 2020/01/31, 31/01/2019, 31/12/2022
D. 20210131, 2020/01/31, 31/01/2019, 0

Answer: C

Explanation:
In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are valid, it returns the last argument provided (in this case, '31/12/2022').
Step-by-step breakdown:
* The alt() function checks the Date field for three different formats:
* YYYYMMDD
* YYYY/MM/DD
* DD/MM/YYYY
* If none of these formats match the value in the Date field, the default date '31/12/2022' is assigned.
Values in the Date field:
* 20210131: Matches the first format YYYYMMDD.
* 2020/01/31: Matches the second format YYYY/MM/DD.
* 31/01/2019: Matches the third format DD/MM/YYYY.
* 9999: Does not match any of the formats, so the alt() function returns the default value '31/12/2022'.

NEW QUESTION # 21
......

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QSDA2024 LATEST STUDY NOTES & VALID EXAM QSDA2024 BOOK

QSDA2024 Latest Study Notes & Valid Exam QSDA2024 Book