HOTSPOT

You have a Fabric tenant.

You plan to create a Fabric notebook that will use Spark DataFrames to generate Microsoft Power Bl visuals.

You run the following code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

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Correct Answer:

Explanation:

The code embeds an existing Power BI report. – No

The code creates a Power BI report. – Yes

The code displays a summary of the DataFrame. – Yes

The code provided seems to be a snippet from a SQL query or script which is neither creating nor embedding a Power BI report directly. It appears to be setting up a DataFrame for use within a larger context, potentially for visualization in Power BI, but the code itself does not perform the creation or embedding of a report. Instead, it’s likely part of a data processing step that summarizes data.

Reference =

Introduction to DataFrames – Spark SQL

Power BI and Azure Databricks

HOTSPOT

You have a Fabric warehouse that contains a table named Sales.Products. Sales.Products contains the following columns.

You need to write a T-SQL query that will return the following columns.

How should you complete the code? To answer, select the appropriate options in the answer area.

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Correct Answer:

Explanation:

For the HighestSellingPrice, you should use the GREATEST function to find the highest value from the given price columns. However, T-SQL does not have a GREATEST function as found in some other SQL dialects, so you would typically use a CASE statement or an IIF statement with nested MAX functions. Since neither of those are provided in the options, you should select MAX as a placeholder to indicate the function that would be used to find the highest value if combining multiple MAX functions or a similar logic was available.

For the TradePrice, you should use the COALESCE function, which returns the first non-null value in a list. The COALESCE function is the correct choice as it will return AgentPrice if it’s not null; if AgentPrice is null, it will check WholesalePrice, and if that is also null, it will return ListPrice.

The complete code with the correct SQL functions would look like this:

SELECT ProductID,

MAX(ListPrice, WholesalePrice, AgentPrice) AS HighestSellingPrice, — MAX is used as a placeholder

COALESCE(AgentPrice, WholesalePrice, ListPrice) AS TradePrice FROM Sales.Products

Select MAX for HighestSellingPrice and COALESCE for TradePrice in the answer area.

You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.

When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.

You need to identify whether maintenance tasks were performed on Customer.

Solution: You run the following Spark SQL statement:

REFRESH TABLE customer

Does this meet the goal?

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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have a Fabric tenant that contains a semantic model named Model1.

You discover that the following query performs slowly against Model1.

You need to reduce the execution time of the query.

Solution: You replace line 4 by using the following code:

Does this meet the goal?

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You have a Fabric tenant that contains a data pipeline.

You need to ensure that the pipeline runs every four hours on Mondays and Fridays.

To what should you set Repeat for the schedule?

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You have an Amazon Web Services (AWS) subscription that contains an Amazon Simple Storage Service (Amazon S3) bucket named bucketl.

You have a Fabric tenant that contains a lakehouse named LH1.

In LH1, you plan to create a OneLake shortcut to bucketl.

You need to configure authentication for the connection.

Which two values should you provide? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

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Topic 3, Misc. Questions

You have a Fabric warehouse that contains a table named Staging.Sales.

Staging.Sales contains the following columns.

You need to write a T-SQL query that will return data for the year 2023 that displays ProductID and ProductName arxl has a summarized Amount that is higher than 10,000.

Which query should you use?

A)

B)

C)

D)

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HOTSPOT

You have a Microsoft Power Bl semantic model.

You plan to implement calculation groups.

You need to create a calculation item that will change the context from the selected date to month-to-date (MTD).

How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Correct Answer:

Explanation:

To create a calculation item that changes the context from the selected date to month-to-date (MTD), the appropriate DAX expression involves using the CALCULATE function to alter the filter context and the DATESMTD function to specify the month-to-date context.

The correct completion for the DAX expression would be:

In the first dropdown, select CALCULATE.

In the second dropdown, select SELECTEDMEASURE.

This would create a DAX expression in the form:

CALCULATE(

SELECTEDMEASURE(),

DATESMTD(‘Date'[DateColumn])

)

You need to recommend which type of fabric capacity SKU meets the data analytics requirements for the Research division.

What should you recommend?

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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have a Fabric tenant that contains a semantic model named Model1.

You discover that the following query performs slowly against Model1.

You need to reduce the execution time of the query.

Solution: You replace line 4 by using the following code:

Does this meet the goal?

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