QSDA2024 Sample Questions

QSDA2024 Sample Questions & Answers

You'll be tested on building out data transformations and handling null or blank values, the single biggest weight, plus designing the data model with measures and attributes, gathering business and security requirements, data source connectivity, and script validation.

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Showing 10 of 20 free samples.

  1. Question 1Intermediate

    Data Transformations · Determine the correct method for date handling techniques.

    A retail company needs to analyze sales performance against dynamic, user-defined date ranges, such as 'Last 60 Days' or 'Year to Date'. The data architect wants to avoid creating many hard-coded master calendar flags. Which Qlik Sense feature is best suited for building these dynamic date-range calculations?

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    Correct answer: B

    Set Analysis is the ideal tool for this requirement. By using set modifiers with date functions (e.g., Today(), YearStart()) and variables, you can create expressions that dynamically calculate date ranges at runtime based on the current date or user selections, without needing to pre-calculate flags in the load script.

  2. Question 2IntermediateSelect 2

    Data Transformations · Determine the correct method to build data content based on requirements.

    A data architect is building a script to load customer data. The source system provides the DateOfBirth. The business needs to group customers into age brackets (e.g., '18-25', '26-35', '36-45'). Which two functions are most commonly combined to achieve this classification in the load script? (Select TWO)

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    Correct answers: A, C

  3. Question 3Beginner

    Data Transformations · Determine the correct method to perform script organization and cleansing.

    A development team is using Git for version control of their Qlik Sense application scripts. To improve maintainability, they want to store the script for their master calendar in a separate file and reuse it across multiple applications. Which script statement allows them to include the content of an external script file into their main load script?

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    Correct answer: D

    The $(Include=...) statement is a script control statement used to insert the content of another file directly into the script at the point where the statement is called. This is a best practice for modularizing code, improving reusability, and managing common script components like a master calendar or standard variables.

  4. Question 4Advanced

    Data Transformations · Determine the correct method to build data content based on requirements.

    Case Study

    A global logistics company, 'ShipFast Inc.', wants to build a Qlik Sense application to monitor shipment statuses. The company's data ecosystem consists of two primary tables. The first is a Shipments table containing ShipmentID, Origin, Destination, and PlannedDeliveryDate. The second is a Shipment_Events table which logs every status scan for a shipment, containing ShipmentID, EventTimestamp, StatusCode, and Location.

    The key business requirement is to create a 'Current Status' dashboard. This dashboard must show, for each ShipmentID, ONLY the most recent event record from the Shipment_Events table. The Shipment_Events table is very large, containing billions of rows, so performance is critical. The script must be highly optimized to avoid full scans of this table during reloads.

    After analyzing the requirements, the data architect decides on a script-based solution to isolate the latest event for each shipment. The goal is to create a final Current_Shipment_Status table that joins the Shipments table with only the latest event details.

    Which scripting approach is the most performant and scalable for this scenario?

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    Correct answer: D

    This approach is highly efficient for finding the 'last event' value. Using FirstSortedValue with a negated timestamp (-EventTimestamp) allows Qlik to find the value corresponding to the maximum timestamp for each ShipmentID in a single, optimized pass. This avoids complex self-joins or row-by-row iteration (Peek()) which are less performant on very large datasets.

  5. Question 5Intermediate

    Data Connectivity · Determine the data sources and connectors needed.

    A data architect is connecting to a web-based data source using the Qlik REST Connector. The API returns data in pages, and the URL for the next page is provided in the response body of the current page. Which pagination type in the REST Connector configuration should be used to handle this scenario?

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    Correct answer: B

    The 'Next page' pagination type is designed for APIs where the URL for the subsequent page of data is contained within the response of the current request. The connector can be configured to parse this URL from the response body or headers and use it for the next iteration.

  6. Question 6Intermediate

    Validation · Determine the appropriate method to validate and test data.

    To ensure data accuracy after a nightly reload, a data architect needs to implement a validation check. The script should compare the total row count of the source database table with the total rows loaded into the final QVD file. If the counts do not match, the script should fail and log an error. Which of the following script constructs is most suitable for this validation task?

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    Correct answer: B

    This combination provides a robust validation mechanism. The NoOfRows() function can get the count of a previously loaded table. This can be compared within an IF statement to a variable holding the source count. If they differ, TRACE can write a custom error message to the log, and EXIT SCRIPT(fail) will terminate the reload and mark it as failed.

  7. Question 7Advanced

    Data Transformations · Determine the correct method to implement data structures efficiently.

    A data model contains two tables: Employees (EmployeeID, EmployeeName, ManagerID) and Sales (SaleID, SalespersonID, Amount). The goal is to create a data model where a user can select a manager and see the sales of all employees who report to that manager, directly or indirectly (i.e., down the entire hierarchy). Which script function is specifically designed to process a parent-child hierarchy like this and flatten it for analysis?

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    Correct answer: C

    The HierarchyBelongsTo prefix is the correct tool for processing and flattening an adjacency list (parent-child) table. It generates an expanded ancestor table that maps each node to all of its descendants, making it easy to perform selections and aggregations across the entire hierarchy.

  8. Question 8Intermediate

    Data Transformations · Determine the correct method to implement data structures efficiently.

    A data architect needs to load a crosstab file where sales data is structured with Product as the first column, followed by a column for each month (Jan, Feb, Mar, etc.). To create a proper fact table, this data must be unpivoted. Which script prefix should be used to transform the monthly columns into rows?

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    Correct answer: C

    The Crosstable prefix is specifically designed to unpivot a wide table (crosstab) into a tall format. It takes the attribute columns (e.g., months) and transforms them into an attribute field (e.g., 'Month') and a data field (e.g., 'Sales'), which is the correct structure for a fact table.

  9. Question 9AdvancedSelect 2

    Data Model Design · Determine the correct method to implement data structures efficiently.

    A financial services company has a requirement to analyze stock prices at any given point in time. They have a Quotes table with Ticker, Timestamp, and Price. To avoid a massive fact table, the architect wants to create an AsOf table. What are the key characteristics of an AsOf table implementation? (Select TWO)

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    Correct answers: B, C

  10. Question 10Advanced

    Data Transformations · Analyze relevant variables to build scripts for incremental loading for the extract layer.

    An incremental load process is designed to update a Sales QVD. The source system provides a LastModifiedDate for each record. The script correctly identifies new and updated records. However, records deleted from the source system remain in the QVD. How should the script be modified to handle these physical deletes?

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    Correct answer: C

    This is a common and effective pattern for handling physical deletes. By loading all current keys from the source and performing an INNER JOIN (or INNER KEEP) with the existing QVD, only the records that still exist in the source are retained. The result is then overwritten to the QVD, effectively removing the deleted records.

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