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Microsoft DP-600 Exam Syllabus Topics:

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

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최신 Microsoft Certified DP-600 무료샘플문제 (Q20-Q25):

질문 # 20
You have a Microsoft Power B1 report and a semantic model that uses Direct Lake mode. From Power Si Desktop, you open Performance analyzer as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:
The Direct Lake fallback behavior is set to: DirectQueryOnly
The query for the table visual is executed by using: DirectQuery
In the context of Microsoft Power BI, when using DirectQuery in Direct Lake mode, there is no caching of data and all queries are sent directly to the underlying data source. The Performance Analyzer tool shows the time taken for different operations, and from the options provided, it indicates that DirectQuery mode is being used for the visuals, which is consistent with the Direct Lake setting. DirectQueryOnly as the fallback behavior ensures that only DirectQuery will be used without reverting to import mode.


질문 # 21
You have a custom Direct Lake semantic model named Model1 that has one billion rows of data.
You use Tabular Editor to connect to Model1 by using the XMLA endpoint.
You need to ensure that when users interact with reports based on Model1, their queries always use Direct Lake mode.
What should you do?

정답：C

설명：
Click on Semantic model.
In the Properties pane, choose the Direct Lake behavior for your custom Direct Lake semantic model:
Automatic: This is the default behavior. It allows Direct Lake with fallback to DirectQuery mode if data can't be efficiently loaded into memory.
Direct Lake only: This option ensures no fallback to DirectQuery mode
https://powerbi.microsoft.com/en-au/blog/leveraging-pure-direct-lake-mode-for-maximum-query- performance/


질문 # 22
You have a Fabric tenant that contains a lakehouse named LH1.
You need to deploy a new semantic model. The solution must meet the following requirements:
* Support complex calculated columns that include aggregate functions, calculated tables, and Multidimensional Expressions (MDX) user hierarchies.
* Minimize page rendering times.
How should you configure the model? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:

Supports complex calculated columns (with aggregate functions, calculated tables, MDX hierarchies).
Minimizes page rendering times.
Step 1 - Choosing the Mode
Direct Lake # Best for near real-time queries, avoids duplication, but has limitations (e.g., some complex calculated columns, MDX user hierarchies are not fully supported).
DirectQuery # Sends queries to the source each time. It supports complex expressions but is slow (not optimal for minimizing page rendering times).
Import # Data is loaded into VertiPaq in-memory engine, supports full DAX capabilities, calculated tables, MDX hierarchies, and provides fastest query performance.
# Correct choice: Import.
Step 2 - Choosing Query Caching
Capacity default # Relies on the workspace/capacity setting.
Off # Disables caching, which could slow down report rendering.
On # Ensures queries are cached for faster page rendering times.
# Correct choice: On.
Final Answer:
Mode: Import
Query Caching: On
References:
Semantic model storage modes in Fabric
Query caching in Power BI / Fabric


질문 # 23
You have a Fabric tenant that contains a lakehouse named LH1.
You need to deploy a new semantic model. The solution must meet the following requirements:
* Support complex calculated columns that include aggregate functions, calculated tables, and Multidimensional Expressions (MDX) user hierarchies.
* Minimize page rendering times.
How should you configure the model? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:


질문 # 24
You have a Fabric tenant that contains a lakehouse.
You plan to use a visual query to merge two tables.
You need to ensure that the query returns all the rows in both tables.
Which type of join should you use?

정답：C

설명：
Left or right will only return one table all rows and other table if exist in the other table. inner will only return if data match in both tables so Full (outer) join will return all data from both tables


질문 # 25
......

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