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Qlik Sense Data Architect Certification Exam - 2024 Sample Questions (Q38-Q43):

NEW QUESTION # 38
Exhibit.

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 Customer Key.
Which script should the data architect use?

Answer: C

Explanation:
In the scenario, two tables (OrderDetails and Customers) are being loaded into the Qlik Sense data model, and these tables are related via the fields CustomerID and CustomerKey. The goal is to ensure that the relationship between these two tables is correctly established in Qlik Sense without creating synthetic keys or data inconsistencies.
* Option A:Renaming CustomerKey to CustomerID in the OrderDetails table ensures that the fields will have the same name across both tables, which is necessary to create the relationship. However, renaming is done using AS, which might create an issue if the fields in the original data source have a different meaning.
* Option B and C:These options use AUTONUMBER to convert the CustomerKey and CustomerID to unique numeric values. However, using AUTONUMBER for both fields without ensuring they are aligned correctly might lead to incorrect associations since AUTONUMBER generates unique values based on the order of data loading, and these might not match across tables.
* Option D:This approach loads the tables with their original field names and then uses the RENAME FIELD statement to align the field names (CustomerKey to CustomerID). This ensures that the key fields are correctly aligned across both tables, maintaining their relationship without introducing synthetic keys or mismatches.

NEW QUESTION # 39
A data architect needs to retrieve data from a REST API. The data architect needs to loop over a series of items that are being read using the REST connection.
What should the data architect do?

A. Use pagination of the REST Connector to create a template of the desired data
B. Recreate the SQL Statement with the correct parameters
C. Use the REST Connector with pagination mechanism
D. Use With Connection to pass a parameter to the REST URL

Answer: C

Explanation:
When retrieving data from a REST API, particularly when the dataset is large or the data is segmented across multiple pages (which is common in REST APIs), the REST Connector in Qlik Sense needs to be configured to handle pagination.
Pagination is the process of dividing the data retrieved from the API into pages that can be loaded sequentially or as required. Qlik Sense's REST Connector supports pagination by allowing the dataarchitect to set parameters that will sequentially retrieve each page of data, ensuring that the complete dataset is retrieved.
Key Steps:
* REST Connector Setup: Configure the REST connector in Qlik Sense and specify the necessary API endpoint.
* Pagination Mechanism: Use the built-in pagination mechanism to define how the connector should retrieve the subsequent pages (e.g., by using query parameters like page or offset).

NEW QUESTION # 40
A data architect needs to upload data from ten different sources, but only if there are any changes after the last reload. When data is updated, a new file is placed into a folder mapped to E:486396169. The data connection points to this folder.
The data architect plans a script which will:
1. Verify that the file exists
2. If the file exists, upload it Otherwise, skip to the next piece of code.
The script will repeat this subroutine for each source. When the script ends, all uploaded files will be removed with a batch procedure. Which option should the data architect use to meet these requirements?

A. FilePath, FOR EACH, Peek, Drop
B. FileExists, FOR EACH, IF
C. FileSize, IF, THEN, END IF
D. FilePath, IF, THEN, Drop

Answer: B

NEW QUESTION # 41
A data architect needs to acquire social media data for the past 10 years. The data architect needs to track all changes made to the source data, include all relevant fields, and reload the application four times a day.
What information does the data architect need?

A. A field with ModificationTime, a primary key field to sort out updated records, insert and update records, remove records
B. A field with social media source, a set of key fields to sort out updated records, configure reload task to load four times a day
C. A field with ModificationTime, a primary key field to sort out updated records, insert and append records, update records
D. A field with record creation time, a secondary key field to remove deleted records, configure reload task to load four times a day

Answer: A

Explanation:
The scenario describes a need to track social media data over the past 10 years, capturing all changes (inserts, updates, deletes) while reloading the data four times a day.
To manage this:
* ModificationTime: This field is essential for tracking changes over time. It indicates when a record was last modified, allowing the script to determine whether it needs to insert, update, or delete records.
* Primary Key Field: A primary key is crucial for uniquely identifying records. It enables the script to match records in the source with those already loaded, facilitating updates and deletions.
* Insert and Update Records: The script should handle both inserting new records and updating existing ones based on the ModificationTime.
* Remove Records: If records are deleted in the source, they should also be removed in the Qlik Sense data model to maintain consistency.
This approach ensures that all changes in the social media data are accurately captured and reflected in the Qlik Sense application.

NEW QUESTION # 42
Exhibit.

Refer to the exhibit.
A data architect wants to transform the input data set to the output data set. Which prefix to the Qlik Sense LOAD command should the data architect use?

A. Generic
B. PivotTable
C. Peek
D. Hierarchy Be longsTo

Answer: A

Explanation:
In this scenario, the data architect wants to transform the input dataset, which is in a key-value pair structure, into a table where each attribute becomes a column with its corresponding value under the relevant key.
Understanding the Requirement:
* Theinputdata consists of three fields: Key, Attribute, and Value.
* The desiredoutputstructure has the Key as a primary identifier, and the Attributes (like Color, Diameter, Height, etc.) are spread across the columns, with corresponding values filled in each row.
Best Method to Achieve this Transformation:
* The appropriate method to convert key-value pairs into a structured table where each unique attribute becomes a separate column is theGeneric Loadfunction in Qlik Sense.
Why Generic?
* Generic Loadis specifically designed for situations where data is stored in a key-value format (like the one provided) and needs to be converted into a more traditional tabular format, with attributes as columns.
* It creates a separate table for each combination of Key and Attribute, effectively "pivoting" the attribute values into columns in the output table.
How it Works:
* When applying a GENERIC LOAD to the input dataset, Qlik Sense will generate multiple tables, one for each Attribute. However, in the final data model, Qlik Sense automatically joins these tables by the Key field, effectively producing the desired output structure.
References:
* Qlik Sense Documentation on Generic Load: The documentation outlines how to use the Generic Load to handle key-value pairs and pivot them into a more traditional table format.

NEW QUESTION # 43
......

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QUIZ QLIK - RELIABLE EXAM QSDA2024 FORMAT

Quiz Qlik - Reliable Exam QSDA2024 Format