Paul Lane Paul Lane

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QSDA2024 Probesfragen & QSDA2024 Übungsmaterialien

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Qlik QSDA2024 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Identify Requirements: This section assesses the abilities of data analysts in defining key business requirements. It includes tasks such as identifying stakeholders, selecting relevant metrics, and determining the level of granularity and aggregation needed.
Thema 2	Data Connectivity: This part evaluates how data analysts identify necessary data sources and connectors. It focuses on selecting the most appropriate methods for establishing connections to various data sources.
Thema 3	Validation: This section tests data analysts and data architects on how to validate and test scripts and data. It focuses on selecting the best methods for ensuring data accuracy and integrity in given scenarios.
Thema 4	Data Transformations: This section examines the skills of data analysts and data architects in creating data content based on specific requirements. It also covers handling null and blank data and documenting Data Load scripts.
Thema 5	Data Model Design: In this section, data analysts and data architects are tested on their ability to determine relevant measures and attributes from each data source.

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Qlik Sense Data Architect Certification Exam - 2024 QSDA2024 Prüfungsfragen mit Lösungen (Q17-Q22):

17. Frage
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?

A. Force concatenation between the tables
B. Comment out the Office in the Transaction table
C. Inner Join the Transaction table to the CurrentOffice table
D. Alias Office to CurrentOffice In the CurrentOffice table

Antwort: D

Begründung:
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.

18. Frage
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?

A. One loop and two IF statements
B. Two loops and one IF statement
C. One loop and one SELECT CASE statement
D. Two loops without any conditional statements

Antwort: A

Begründung:
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.

19. Frage
A data architect needs to write the expression for a measure on a KPI to show the sales person with the highest sales. The sort order of the values of the fields is unknown. When two or more sales people have sold the same amount, the expression should return all of those sales people.
Which expression should the data architect use?

Antwort: B

Begründung:
The requirement is to create a measure that identifies the salesperson with the highest sales. If multiple salespeople have the same highest sales amount, the measure should return all of those salespeople.
Explanation of Option A:
* Rank(Sum(Sales), 1):The Rank() function is used to rank salespersons based on the sum of their sales.
The rank 1 indicates the top position.
* Aggr() Function:This function aggregates the data and returns the results grouped by the SalesPerson field.
* IF() Condition:The IF condition checks if the salesperson's rank is 1 (highest sales).
* Concat(DISTINCT ...):The Concat() function concatenates all the salespersons who have the highest sales, separated by spaces or another delimiter, ensuring that all top performers are returned.
Example:
If three salespersons have the highest sales, this expression will return all three names separated by a space.

20. Frage
Exhibit.

Refer to the exhibit.
The data architect needs to build a model that contains Sales and Budget data for each customer. Some customers have Sales without a Budget, and other customers have a Budget with no Sales.
During loading, the data architect resolves a synthetic key by creating the composite key.
For validation, the data architect creates a table that contains Customer, Month, Sales, and Budget columns.
What will the data architect see when selecting a month?

A. Customer Names and Budaets records for the selected month. Sales column can contain null or non-null values
B. All Customer Names for both Sales and Budget records for the selected month
C. Customer Names and Sales records for the selected month but with only non-null values in Budget column
D. Customer Names and Sales records for the selected month, Budgets column can contain null or non-null values

Antwort: D

Begründung:
In the scenario where the data model is built with a composite key (keyYearMonthCustNo) to resolve synthetic keys, the following outcomes occur:
* Sales and Budget Data Integration:
* The composite key ensures that each combination of Year, Month, and Customer is uniquely represented in the combined Sales and Budget data.
* During data selection (e.g., when a specific month is selected), Qlik Sense will show all the customer names that have either Sales or Budget data associated with that month.
* Resulting Data View:
* For the selected month, customers with sales records will display their Sales data. However, if the corresponding Budget data is missing, the Budget column will contain null values.
* Similarly, if a customer has a Budget but no Sales data for the selected month, the Sales column will show null values.
Validation Outcome:When the data architect selects a month, they will see the following:
* Customer Names and Sales recordsfor the selected month, where the Sales column will have values and the Budget column may contain null or non-null values depending on the data availability.

21. Frage
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?

Antwort: C

Begründung:
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.

22. Frage
......

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Paul Lane Paul Lane

Biography

QSDA2024 Probesfragen & QSDA2024 Übungsmaterialien

Qlik QSDA2024 Prüfungsplan:

Reliable QSDA2024 training materials bring you the best QSDA2024 guide exam: Qlik Sense Data Architect Certification Exam - 2024

Qlik Sense Data Architect Certification Exam - 2024 QSDA2024 Prüfungsfragen mit Lösungen (Q17-Q22):

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Paul Lane Paul Lane

Biography

QSDA2024 Probesfragen & QSDA2024 Übungsmaterialien

Qlik QSDA2024 Prüfungsplan:

Reliable QSDA2024 training materials bring you the best QSDA2024 guide exam: Qlik Sense Data Architect Certification Exam - 2024

Qlik Sense Data Architect Certification Exam - 2024 QSDA2024 Prüfungsfragen mit Lösungen (Q17-Q22):

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