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Free QSDA2024 Exam Braindumps (page: 5)

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PDF with 50 Questions

A startup company is about have its Initial Public Offering (IPO) on the New York Stock Exchange.

This startup company has used Qlik Sense for many years for data-based decision making for Sales and Marketing efforts, as well as for input into Financial Reporting. The startup's Qlik Sense applications use variables that have different values at different points in time.

Due to the increased rigor required in record keeping for public companies, these variables must be clearly recorded in the script reload logs of the Qlik Sense applications. These logs are refreshed daily.

The data architect wants to have the variables names, with their current values, written into the script reload logs.
Which script statement should the data architect use?

  1. LogDetail
  2. Trace
  3. Tag
  4. REM

Answer(s): B

Explanation:

In the scenario where the startup company is preparing for an IPO, there is an increased need for meticulous record-keeping, including the recording of variable values used in Qlik Sense applications. The TRACE statement is the most suitable option for logging variable values during script execution.

TRACE: This statement writes custom messages, including variable values, to the script execution log. By using TRACE, you can ensure that every reload log contains the names and current values of all relevant variables, providing the necessary transparency and traceability.

For example, the script could include:

TRACE $(VariableName);

This command will output the variable's value in the script log, ensuring it is recorded for audit purposes.



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?

  1. One loop and two IF statements
  2. One loop and one SELECT CASE statement
  3. Two loops and one IF statement
  4. Two loops without any conditional statements

Answer(s): A

Explanation:

In the provided scenario, the goal is to export tables from a Qlik Sense model based on rules specified in an external text file. The structure of the text file indicates which table to export, the filename to use, and how many copies to create.

Given this structure, the data architect needs to:

Loop through each row in the text file to process each table.

Use an IF statement to check whether the specified table exists in the model (though it's mentioned they are verified to exist, this step may involve conditional logic to ensure the rules are correctly followed).

Use another IF statement to handle the creation of multiple copies, ensuring each file is named incrementally (e.g., Clients1.qvd, Clients2.qvd, etc.).

Key Script Strategies:

Loop: A loop is necessary to iterate through each row of the text file to process the tables specified for export.

IF Statements: The first IF statement checks conditions such as whether the table should be exported (based on additional logic if needed). The second IF statement handles the creation of multiple copies by incrementing the filename.

This approach covers all the necessary logic with the minimum set of scripting strategies, ensuring that each table is exported according to the rules defined.



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?

  1. Date(MonthStart([Common Date]),'MMM-YYYY')
  2. Date([Comraon Date],'MMM-YYYY')
  3. Date(MonthsStart([Common Date]),'VMM-YYYY')
  4. Date(InMontht[Common Date]),'MMM-YYYY')

Answer(s): A

Explanation:

The issue described relates to the incorrect display of month and year values on the x-axis of a chart. The source data has dates in the M/D/YYYY format, and a calculated field named Month-Year was created using this date format.

To correct the issue:

The correct approach is to use the MonthStart() function, which returns the first date of the month for the provided date. This ensures consistency in month-year representation.

The Date() function is then used to format the result of MonthStart() to the desired format of MMM- YYYY (e.g., Feb-2018).

Explanation of the Correct Expression:

MonthStart([Common Date]): This ensures that all dates within a month are treated as the first day of that month, which is critical for accurate monthly aggregation.

Date(..., 'MMM-YYYY'): This formats the result to show just the month and year in the correct format.

Using this expression ensures that the x-axis correctly displays the month-year values.



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?

  1. 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
  2. A field with record creation time, a secondary key field to remove deleted records, configure reload task to load four times a day
  3. A field with ModificationTime, a primary key field to sort out updated records, insert and append records, update records
  4. A field with ModificationTime, a primary key field to sort out updated records, insert and update records, remove records

Answer(s): D

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.






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