Free QSDA2024 sample questions

Correct answer: IntervalMatch

IntervalMatch is specifically designed to link a discrete point in time (like `EventTimestamp`) to a time interval (between `AdmissionDate` and `DischargeDate`). It is the most efficient and direct way to solve this common data modeling problem, often seen in manufacturing, logistics, and healthcare.

Correct answer: The OMIT system field in the Section Access table.

The `OMIT` system field in the Section Access table allows for dynamic hiding of fields based on user access rights. By listing the field names to be omitted for specific users or groups, you can implement column-level security directly within the data reduction framework.

Correct answer: Average deal size

A metric is a quantifiable measure used to track and assess a business process. 'Average deal size' is a calculated value (e.g., Sum(Sales) / Count(Deals)) representing a performance indicator. 'Shipping address' and 'Product SKU' are descriptive attributes (dimensions), and 'Total revenue by product category' describes a metric sliced by a dimension.

Correct answer: Issue: A large percentage of `CustomerID` values in `DimCustomer` do not exist in `FactSales`. Solution: Use a `Right Keep` on `FactSales` when loading `DimCustomer` to only load relevant customers.

A high subset ratio (close to 100%) on a key indicates that many values in the dimension table do not have corresponding entries in the fact table. This bloats the app's memory with unused dimensional data. The most effective solution is to load only the dimension records that have associated facts, which can be achieved using a `Right Keep` or an `Exists()` check.

Correct answer: True

This statement is true. By default, Qlik treats NULL values from different source fields as distinct, non-associating values. Setting `NullInterpret` to an empty string tells the script engine to convert any subsequent NULL values it encounters into empty strings. Since all empty strings are identical, this prevents Qlik from creating associations between records based on their NULL keys from different tables.

Correct answer: Set Analysis with variables and date functions

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.

Correct answers: Age(); Class()

Correct answer: $(Include=...)

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.

Correct answer: First, load a temporary table of distinct `ShipmentID`s. Then, in a second load statement, use `FirstSortedValue(StatusCode, -EventTimestamp)` aggregated by `ShipmentID` to directly retrieve the status of the latest event.

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.

Correct answer: Next page

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.