Mar-2025 Get Totally Free Updates on QSDA2024 Dumps PDF Questions [Q13-Q35]

QUESTION 13
A data architect wants reflect a value of the variable in the script log for tracking purposes. The variable is defined as:

Which statement should be used to track the variable’s value?

QUESTION 14
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 field with social media source, a set of key fields to sort out updated records, configure reload task to load four times a day

A field with record creation time, a secondary key field to remove deleted records, configure reload task to load four times a day

A field with ModificationTime, a primary key field to sort out updated records, insert and append records, update records

A field with ModificationTime, a primary key field to sort out updated records, insert and update records, remove records

QUESTION 15
Refer to the exhibit.

A data architect needs to build a dashboard that displays the aggregated sates for each sales representative. All aggregations on the data must be performed in the script.
Which script should the data architect use to meet these requirements?

QUESTION 16

Refer to the exhibit
A large transport company (Company A) acquires a smaller rival (Company B).
Company A has been using Qlik Sense tor 6 years to track revenue per ship journey. Ship journeys with no revenue (such as journeys to shipyards for repair) always show revenue of $0.
Company A wants to combine its data set with the data set of the acquired Company B. Company B’s ship journey data shows $0 revenue in one of the following ways:
* A NULL value
* A value with one or more blank spaces (ASCII char code 32)
The data architect wants to conform the Company B data to the Company A standard, specifically regarding the use of an explicit $0 for journeys without revenue. Which script line should the data architect use?

QUESTION 17
Exhibit.

Refer to the exhibit.
A data architect is loading the tables and a synthetic 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 OrderlD field

Remove the LineNo field from both tables and use the AutoNumber function on the OrderlD field

Create a composite key using OrderlD and UneNo

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

QUESTION 18
Exhibit.

Refer to the exhibit.
A business analyst informs the data architect that not all analysis types over time show the expected data.
Instead they show very little data, if any.
Which Qlik script function should be used to resolve the issue in the data model?

DatefFloor(OrderDate)) AS OrderDate in both the table “Orders” and “Master Calendar”

TimeStamp#(OrderDate, ‘M/D/YYYY hh.mm.ff’) AS OrderDate in both the table “Orders” and “Master Calendar”

TimeStamp(OrderDate) AS OrderDate in both the table “Orders” and “Master Calendar”

Date(OrderDate) AS OrderDate in both the table “Orders” and “Master Calendar”

QUESTION 19
A company generates l 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?

Load only 2 years of data 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

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

QUESTION 20
A data architect receives an error while running script.
What will happen to the existing data model?

The data model will be removed from the application.

The latest error-free data model will be maintained.

Newly loaded tables will be merged with the existing data model until the error is resolved.

The data model will be replaced with the tables that were successfully loaded before the error.

QUESTION 21
Exhibit.

A data architect must load the two tables without creating a synthetic key. The data architect also must make sure expressions like Sum([Budgeted Sales]) are calculated correctly.
Which load script meets these requirements?

In the scenario provided, the data architect needs to load two tables (Budget and Sales) without creating a synthetic key, while ensuring that expressions like Sum([Budgeted Sales]) are calculated correctly.
Here is a breakdown of the options:
* Option A (Outer Join):This option uses an outer join between the Sales table and the Budget table.
While this approach will combine the tables based on the common fields (Year and Region), it will result in a single table that contains all fields from both tables. This approach prevents the creation of a synthetic key and retains all records from both tables, ensuring that all budgeted and actual sales data is available. As a result, calculations like Sum([Budgeted Sales]) will work correctly.This is the correct solution.
* Option B (Concatenate):This option uses concatenate, which combines the tables by stacking them on top of each other as if they were one table. This approach will not prevent synthetic keys and could cause issues with calculations since Budgeted Sales and Actual Sales would be in the same column, leading to incorrect aggregation results.
* Option C (Separate Load):This option simply loads the tables separately without any join or concatenation. While this will not create a synthetic key, it will result in two separate tables in the data model. Without any connection between these tables, calculations involving both Budgeted Sales and Actual Sales will not work correctly.
* Option D (Inner Join):This option uses an inner join, which will combine only the records that match in both tables based on Year and Region. While this approach avoids synthetic keys, it may exclude records that do not have a corresponding match in both tables, potentially leading to incomplete data.
Given the requirements to avoid synthetic keys and ensure correct calculations,Option A (Outer Join)is the most appropriate approach. It ensures all relevant data is included and that the data model remains free from synthetic keys, while also allowing accurate calculations.

QUESTION 22
A data architect needs to load Table_A from an Excel file and sort the data by Reld_2.
Which script should the data architect use?

QUESTION 23
Exhibit

Refer to the exhibit.
The salesperson ID and the office to which the salesperson belongs is stored for each transaction. The data model also contains the current office for the salesperson. The current office of the salesperson and the office the salesperson was in when the transaction occurred must be visible. The current source table view of the model is shown. A data architect must resolve the synthetic key.
How should the data architect proceed?

Comment out the Office in the Transaction table

Inner Join the Transaction table to the CurrentOffice table

Alias Office to CurrentOffice In the CurrentOffice table

Force concatenation between the tables

In the provided data model, both the CurrentOffice and Transaction tables contain the fields SalesID and Office. This leads to the creation of a synthetic key in Qlik Sense because of the two common fields between the two tables. A synthetic key is created automatically by Qlik Sense when two or more tables have two or more fields in common. While synthetic keys can be useful in some scenarios, they often lead to unwanted and unexpected results, so it’s generally advisable to resolve them.
In this case, the goal is to have both the current office of the salesperson and the office where the transaction occurred visible in the data model. Here’s how each option compares:
* Option A: Comment out the Office in the Transaction table:This would remove the Office field from the Transaction table, which would prevent you from seeing which office the salesperson was in when the transaction occurred. This option does not meet the requirement.
* Option B: Inner Join the Transaction table to the CurrentOffice table:Performing an inner join would merge the two tables based on the common SalesID and Office fields. However, this might result in a loss of data if there are sales records in the Transaction table that don’t have a corresponding record in the CurrentOffice table or vice versa. This approach might also lead to unexpected results in your analysis.
* Option C: Alias Office to CurrentOffice In the CurrentOffice table:By renaming the Office field in the CurrentOffice table to CurrentOffice, you prevent the synthetic key from being created. This allows you to differentiate between the salesperson’s current office and the office where the transaction occurred. This approach maintains the integrity of your data and allows for clear analysis.
* Option D: Force concatenation between the tables:Forcing concatenation would combine the rows of both tables into a single table. This would not solve the issue of distinguishing between the current office and the office at the time of the transaction, and it could lead to incorrect data associations.
Given these considerations, the best approach to resolve the synthetic key while fulfilling the requirement of having both the current office and the office at the time of the transaction visible is toAlias Office to CurrentOffice in the CurrentOffice table. This ensures that the data model will accurately represent both pieces of information without causing synthetic key issues.

QUESTION 24
A company generates l 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?

Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data

Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use

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

QUESTION 25
Sales managers need to see an overview of historical performance and highlight the current year’s metrics.
The app has the following requirements:
* Display the current year’s total sales
* Total sales displayed must respond to the user’s selections
Which variables should a data architect create to meet these requirements?

QUESTION 26
Exhibit.

The Section Access security table for an app is shown. User ABCPPP opens a Qlik Sense app with a table using the field called LEVEL on one of the table columns.
Which is the result?

The table is removed from the user interface.

The user gets an ‘Incomplete visualization’ error.

The user gets a ‘Field not found’ error.

The table is displayed without the LEVEL column.

QUESTION 27
A data architect needs to develop a script to export tables from a model based upon rules from an independent file. The structure 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 exist in the model.
In addition, the format will always be QVD, and the copies will be incrementally numbered.
For example, the Customers table would be exported as:

What is the minimum set of scripting strategies the data architect must use?

One loop and two IF statements

One loop and one SELECT CASE statement

Two loops and one IF statement

Two loops without any conditional statements

QUESTION 28
Refer to the exhibit.

A system creates log files and csv files daily and places these files in a folder. The log files are named automatically by the source system and change regularly. All csv files must be loaded into Qlik Sense for analysis.
Which method should be used to meet the requirements?

QUESTION 29
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?

Recreate the SQL Statement with the correct parameters

Use the REST Connector with pagination mechanism

Use pagination of the REST Connector to create a template of the desired data

Use With Connection to pass a parameter to the REST URL

QUESTION 30
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?

QUESTION 31

Refer to the exhibits.
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. The script runs successfully but the resulting table is not correct.
What should the data architect do?

Create two different mapping tables

Use LOAD DISTINCT on the mapping table

Use a LEFT JOIN Instead of the APPLYMAP

Review the values of the source mapping table

QUESTION 32
Exhibit.

A chart for monthly hospital admissions and discharges incorrectly displays the month and year values on the x-axis.
The date format for the source data field “Common Date” is M/D/YYYY. This format was used in a calculated field named “Month-Year” in the data manager when the data model was first built.
Which expression should the data architect use to fix this issue?

Date(MonthStart([Common Date]),’MMM-YYYY’)

Date([Comraon Date],’MMM-YYYY’)

Date(MonthsStart([Common Date]),’VMM-YYYY’)

Date(InMontht[Common Date]),’MMM-YYYY’)

QUESTION 33
A company needs to analyze daily sales data from different countries. They also need to measure customer satisfaction of products as reported on a social media website. Thirty (30) reports must be produced with an average of 20,000 rows each. This process is estimated to take about 3 hours.
Which option should the data architect use to build this solution?

Qlik REST Connector

Microsoft SQL Server

Qlik GeoAnalytics

Mailbox IMAP

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Mar-2025 Get Totally Free Updates on QSDA2024 Dumps PDF Questions [Q13-Q35]

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