You have a Fabric tenant that contains a lakehouse named Lakehouse! Lakehouse1 contains a Delta

table that has one million Parquet files.

You need to remove files that were NOT referenced by the table during the past 30 days. The solution must ensure that the transaction log remains consistent, and the ACID properties of the table are maintained

What should you do?

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You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1.

In Workspace1. you create a data pipeline named Pipeline1.

You have CSV files stored in an Azure Storage account.

You need to add an activity to Pipeline1 that will copy data from the CSV files to Lakehouse1. The activity must support Power Query M formula language expressions.

Which type of activity should you add?

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What type of data store is best used for handling large volumes of both structured and unstructured data in Microsoft Fabric?

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You have a Fabric tenant that contains a new semantic model in OneLake.

You use a Fabric notebook to read the data into a Spark DataFrame.

You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns.

Solution: You use the following PySpark expression:

df.explain()

Does this meet the goal?

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HOTSPOT

You have the source data model shown in the following exhibit.

The primary keys of the tables are indicated by a key symbol beside the columns involved in each key.

You need to create a dimensional data model that will enable the analysis of order items by date, product, and customer.

What should you include in the solution? 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:

The relationship between OrderItem and Product must be based on: Both the CompanyID and the ProductID columns

The Company entity must be: Denormalized into the Customer and Product entities

In a dimensional model, the relationships are typically based on foreign key constraints between the fact table (OrderItem) and dimension tables (Product, Customer, Date). Since CompanyID is present in both the OrderItem and Product tables, it acts as a foreign key in the relationship. Similarly, ProductID is a foreign key that relates these two tables. To enable analysis by date, product, and customer, the Company entity would need to be denormalized into the Customer and Product entities to ensure that the relevant company information is available within those dimensions for querying and reporting purposes.

Reference =

Dimensional modeling

Star schema design

DRAG DROP

You have a Fabric tenant that contains a Microsoft Power Bl report named Report 1.

Report1 is slow to render. You suspect that an inefficient DAX query is being executed.

You need to identify the slowest DAX query, and then review how long the query spends in the formula engine as compared to the storage engine.

Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

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Correct Answer:

Explanation:

To identify the slowest DAX query and analyze the time it spends in the formula engine compared to the storage engine, you should perform the following actions in sequence:

From Performance analyzer, capture a recording.

View the Server Timings tab.

Enable Query Timings and Server Timings. Run the query.

View the Query Timings tab.

Sort the Duration (ms) column in descending order by DAX query time.

HOTSPOT

You need to migrate the Research division data for Productline2. The solution must meet the data preparation requirements.

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

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Correct Answer:

You have a Fabric tenant

You plan to create a data pipeline named Pipeline1. Pipeline1 will include two activities that will execute in sequence. You need to ensure that a failure of the first activity will NOT block the second activity.

Which conditional path should you configure between the first activity and the second activity?

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You have an Azure Repos Git repository named Repo1 and a Fabric-enabled Microsoft Power Bl Premium capacity. The capacity contains two workspaces named Workspace! and Workspace2. Git integration is enabled at the workspace level.

You plan to use Microsoft Power Bl Desktop and Workspace! to make version-controlled changes to a semantic model stored in Repo1. The changes will be built and deployed lo Workspace2 by using Azure Pipelines.

You need to ensure that report and semantic model definitions are saved as individual text files in a folder hierarchy. The solution must minimize development and maintenance effort.

In which file format should you save the changes?

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You have a Fabric tenant that uses a Microsoft tower Bl Premium capacity. You need to enable scale-out for a semantic model.

What should you do first?

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