DP-600 Exam Dumps - Implementing Analytics Solutions Using Microsoft Fabric

The PoC is planned to be completed using a Fabric trial capacity, which implies that users involved in the PoC should be able to try paid features. However, this should be limited to specific security groups involved in the PoC to prevent the entire organization from accessing these features before the trial is proven successful (A). The ability for users to create Fabric items should also be enabled for specific security groups to ensure that only the relevant team members participating in the PoC can create items in the Fabric environment (E).

You should use CREATE VIEW to make the pricing group logic available for T-SQL queries.

The CASE statement should be used to determine the pricing group based on the list price.

The T-SQL statement should create a view that classifies products into pricing groups based on the list price. The CASE statement is the correct conditional logic to assign each product to the appropriate pricing group. This view will standardize the pricing group logic across different databases and semantic models.

Folding in Power Query refers to operations that can be translated into source queries. In this case, "some" of the steps can be folded, which means that some transformations will be executed at the data source level. The steps that cannot be folded will be executed within the Power Query engine. Custom steps, especially those that are not standard query operations, are usually executed within Power Query engine rather than being pushed down to the source system.

References =

Query folding in Power Query

Power Query M formula language

You should complete the code as follows:

Table

NativeQuery

EnableFolding

In Power Query, using Table before the SQL statement ensures that the result of the SQL query is treated as a table. NativeQuery allows a native database query to be passed through from Power Query to the source database. The EnableFolding option ensures that any subsequent transformations that can be folded will be sent back and executed at the source database (Microsoft SQL Server engine in this case).

Comprehensive Detailed Explanation

We have a table with:

CustomerID → unique ID

CustomerName → customer’s name

VersionDate → timestamp representing version history

The requirement:

Keep only the latest record per customer.

Ensure no new technical columns (like max version date) remain in the semantic model.

Step 1: Identify latest version per customer

We need to determine the latest VersionDate for each CustomerID.

Use Group By CustomerID and calculate Max of VersionDate.

This creates a mapping of CustomerID → latest VersionDate.

Step 2: Filter to keep only latest records

Join or filter original data so that only rows with VersionDate = Max(VersionDate) are retained.

This ensures that only the most recent record is kept per customer.

Step 3: Remove the helper column

The column holding Max VersionDate is only needed for filtering.

It must be removed because the requirement is that no new columns are loaded to the semantic model.

Step 4: Remove duplicates

As a final safeguard, remove duplicates by CustomerID, ensuring that each customer appears only once.

Final Ordered Actions

Group by CustomerID and calculate the max version date per customer ID.

Filter the query where the version date value equals the max version date value.

Remove the max version date column.

Remove duplicates based on CustomerID.

Comprehensive Detailed Explanation

Step 1: Requirement

We need to compare the average miles per trip for:

Statutory holidays (when IsHoliday = 1)

Non-statutory holidays (when IsHoliday = 0)

Step 2: Formula for average miles per trip

Average miles per trip = total miles ÷ number of trips

Total miles → SUM(t.tripDistance)

Number of trips → COUNT(t.tripID)

So the calculation is:

(SUM(t.tripDistance) / COUNT(t.tripID)) AS MilesPerTrip

Step 3: Grouping

We need a comparison by holiday status.

So we must group the results by:

GROUP BY d.IsHoliday

This ensures we get two rows: one for IsHoliday = 1 and one for IsHoliday = 0.

Step 4: Final Query

SELECT

d.IsHoliday,

(SUM(t.tripDistance) / COUNT(t.tripID)) AS MilesPerTrip

FROM DimDate d

INNER JOIN Trips t ON d.DateID = t.DateID

GROUP BY d.IsHoliday;

Why This is Correct

The formula ensures average miles per trip.

Grouping ensures comparison between holidays vs non-holidays.

Efficient aggregation, minimal computation.

References

Aggregate functions in T-SQL

GROUP BY clause

To create a diagram that contains only the Sales table and related tables, you should use the Model view (C) in Microsoft Power BI Desktop. This view allows you to visualize and manage the relationships between tables within your semantic model. References = Microsoft Power BI Desktop documentation outlines the functionalities available in Model view for managing semantic models.