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Microsoft DP-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement and manage semantic models25–30- Deploy and maintain semantic models
  • 1. Create reusable assets and shared models
  • 2. Use XMLA endpoint for deployment and management
  • 3. Monitor and refresh semantic models
- Design and build semantic models
  • 1. Define relationships, hierarchies, and measures
  • 2. Create Power BI semantic models
  • 3. Optimize model performance and structure
Topic 2: Maintain a data analytics solution25–30- Implement security and governance
  • 1. Configure workspace and item-level access
  • 2. Apply row-level, column-level, and object-level security
  • 3. Use sensitivity labels and endorsement
- Manage analytics development lifecycle
  • 1. Implement deployment pipelines
  • 2. Configure version control and projects
  • 3. Perform impact analysis and dependency management
Topic 3: Prepare data for analytics45–50- Implement data storage structures
  • 1. Design and manage lakehouse tables
  • 2. Configure warehouse storage and querying
  • 3. Implement delta lake and partitioning
- Clean and transform data
  • 1. Process data using Spark notebooks and SQL
  • 2. Manage data quality and consistency
  • 3. Perform data enrichment and validation
- Ingest and load data
  • 1. Ingest data from various sources
  • 2. Use Dataflows Gen2 to transform data
  • 3. Load data into lakehouses and warehouses

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q103-Q108):

NEW QUESTION # 103
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.

Answer:

Explanation:

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.
References =
* Introduction to DataFrames - Spark SQL
* Power BI and Azure Databricks


NEW QUESTION # 104
You have a Fabric tenant that contains a lakehouse.
You plan to query sales data files by using the SQL endpoint. The files will be in an Amazon Simple Storage Service (Amazon S3) storage bucket.
You need to recommend which file format to use and where to create a shortcut.
Which two actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

Answer: A,B

Explanation:
You should use the Parquet format (B) for the sales data files because it is optimized for performance with large datasets in analytical processing and create a shortcut in the Tables section (D) to facilitate SQL queries through the lakehouse's SQL endpoint. References = The best practices for working with file formats and shortcuts in a lakehouse environment are covered in the lakehouse and SQL endpoint documentation provided by the cloud data platform services.


NEW QUESTION # 105
Hotspot Question
You have a Fabric warehouse that contains the following data.

The data has the following characteristics:
- Each customer is assigned a unique CustomerID value.
- Each customer is associated to a single SalesRegion value.
- Each customer is associated to a single CustomerAddress value.
- The Customer table contains 5 million rows.
- All foreign key values are non-null.
You need to create a view to denormalize the data into a customer dimension that contains one row per distinct CustomerID value. The solution must minimize query processing time and resources.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 106
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.

Answer:

Explanation:

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.


NEW QUESTION # 107
You have source data in a CSV file that has the following fields:
* SalesTra nsactionl D
* SaleDate
* CustomerCode
* CustomerName
* CustomerAddress
* ProductCode
* ProductName
* Quantity
* UnitPrice
You plan to implement a star schema for the tables in WH1. Thedimension tables in WH1 will implement Type 2 slowly changing dimension (SCD) logic.
You need to design the tables that will be used for sales transaction analysis and load the source data.
Which type of target table should you specify for the CustomerName, CustomerCode, and SaleDate fields? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 108
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