DP-600 New Real Test | Valid DP-600 Exam Guide

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Microsoft DP-600 Exam Syllabus Topics:

SectionWeightObjectives
Prepare data for analytics45โ€“50- Ingest and load data
  • 1. Ingest data from various sources
  • 2. Use Dataflows Gen2 to transform data
  • 3. Load data into lakehouses and warehouses
- Clean and transform data
  • 1. Perform data enrichment and validation
  • 2. Process data using Spark notebooks and SQL
  • 3. Manage data quality and consistency
- Implement data storage structures
  • 1. Implement delta lake and partitioning
  • 2. Configure warehouse storage and querying
  • 3. Design and manage lakehouse tables
Implement and manage semantic models25โ€“30- Deploy and maintain semantic models
  • 1. Use XMLA endpoint for deployment and management
  • 2. Monitor and refresh semantic models
  • 3. Create reusable assets and shared models
- Design and build semantic models
  • 1. Define relationships, hierarchies, and measures
  • 2. Create Power BI semantic models
  • 3. Optimize model performance and structure
Maintain a data analytics solution25โ€“30- Implement security and governance
  • 1. Use sensitivity labels and endorsement
  • 2. Configure workspace and item-level access
  • 3. Apply row-level, column-level, and object-level security
- Manage analytics development lifecycle
  • 1. Configure version control and projects
  • 2. Perform impact analysis and dependency management
  • 3. Implement deployment pipelines

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q210-Q215):

NEW QUESTION # 210
You have a Fabric workspace named Workspacel that uses the Premium Per User (PPU) license mode and contains a semantic model named Model!.
Large semantic model storage format is selected for Model 1.
You need to ensure that tables imported into Modell are written automatically to Delta tables in OneLake.
What should you do for Modell and Workspacel? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 211
You need to ensure that Contoso can use version control to meet the data analytics requirements and the general requirements. What should you do?

Answer: A

Explanation:
You need to ensure that Contoso can use version control to meet the data analytics requirements and the general requirements.
Requirement: "All the semantic models and reports for the Research division must use version control that supports branching." Fabric supports Git integration (Azure Repos or GitHub) for semantic models and reports.
Storing in Data Lake Gen2 or OneDrive does not provide version control with branching.
The correct action is to integrate workspaces with a Git repository.
The answer: D. Modify the settings of the Research division workspaces to use an Azure Repos repository.


NEW QUESTION # 212
When working with Power Query dataflows in Microsoft Power BI, optimizing performance and reusability is critical. An effective strategy is to separate data injection from data transformation.
By doing so, you can improve the efficiency of data processing and ensure that dataflows are easy to manage and reuse. In addition, other best practices can further improve performance.
Which of the following practices are recommended for improving performance and reusability in Power Query dataflows? (Select 3)

Answer: B,C,E

Explanation:
Option A: Correct because this practice of reducing the frequency of data source access enhances performance by minimizing the overhead associated with repeated data pulls. By isolating data ingestion processes, it also increases reusability, as data can be processed once and reused across multiple analyses or applications without the need for redundant extraction operations.
Option C: Correct because filtering data at the source before bringing it into the analytical environment reduces the volume of data that needs to be processed. This approach minimizes resource consumption and improves query performance by reducing the amount of data transferred across the network and processed by downstream systems.
Option E: Correct because query folding is a technique where transformations applied in a query are pushed back to the data source. This approach leverages the data source's processing capabilities to perform transformations, reducing the workload on the analytical dataflow or processing engine. It enhances performance by minimizing data movement and optimizing query execution efficiency.
Reference:
https://learn.microsoft.com/en-us/power-query/dataflows/performance-ingestion-transformation- dataflows


NEW QUESTION # 213
You need to create a DAX measure to calculate the average overall satisfaction score.
How should you complete the DAX code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
* The measure should use the AVERAGE function to calculate the average value.
* It should reference the Response Value column from the 'Survey' table.
* The 'Number of months' should be used to define the period for the average calculation.
To calculate the average overall satisfaction score using DAX, you would need to use the AVERAGE function on the response values related to satisfaction questions. The DATESINPERIOD function will help in calculating the rolling average over the last 12 months.


NEW QUESTION # 214
Drag and Drop Question
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 uses the Pro license mode and contains a semantic model named Model1.
You have an Azure DevOps organization.
You need to enable version control for Workspace1. The solution must ensure that Model1 is added to the repository.
Which three 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:


NEW QUESTION # 215
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