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Microsoft DP-600 Exam Syllabus Topics:

Section	Weight	Objectives
Maintain a data analytics solution	25–30	- Manage analytics development lifecycle 1. Perform impact analysis and dependency management 2. Implement deployment pipelines 3. Configure version control and projects - Implement security and governance 1. Apply row-level, column-level, and object-level security 2. Use sensitivity labels and endorsement 3. Configure workspace and item-level access
Implement and manage semantic models	25–30	- Design and build semantic models 1. Optimize model performance and structure 2. Create Power BI semantic models 3. Define relationships, hierarchies, and measures - 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
Prepare data for analytics	45–50	- Implement data storage structures 1. Implement delta lake and partitioning 2. Design and manage lakehouse tables 3. Configure warehouse storage and querying - 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. Load data into lakehouses and warehouses 2. Use Dataflows Gen2 to transform data 3. Ingest data from various sources

Section

Weight

Objectives

Maintain a data analytics solution

25–30

- Manage analytics development lifecycle

1. Perform impact analysis and dependency management
2. Implement deployment pipelines
3. Configure version control and projects

- Implement security and governance

1. Apply row-level, column-level, and object-level security
2. Use sensitivity labels and endorsement
3. Configure workspace and item-level access

Implement and manage semantic models

25–30

- Design and build semantic models

1. Optimize model performance and structure
2. Create Power BI semantic models
3. Define relationships, hierarchies, and measures

- 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

Prepare data for analytics

45–50

- Implement data storage structures

1. Implement delta lake and partitioning
2. Design and manage lakehouse tables
3. Configure warehouse storage and querying

- 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. Load data into lakehouses and warehouses
2. Use Dataflows Gen2 to transform data
3. Ingest data from various sources

>> DP-600試験問題解説集 <<

試験の準備方法-高品質なDP-600試験問題解説集試験-効率的なDP-600資格準備

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric 認定 DP-600 試験問題 (Q88-Q93):

質問 # 88
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?

正解：D

解説：
The correct query to use in order to return data for the year 2023 that displays ProductID, ProductName, and has a summarized Amount greater than 10,000 is Option B. The reason is that it uses the GROUP BY clause to organize the data by ProductID and ProductName and then filters the result using the HAVING clause to only include groups where the sum of Amount is greater than 10,000. Additionally, the DATEPART(YEAR, SaleDate) = '2023' part of the HAVING clause ensures that only records from the year 2023 are included.
References = For more information, please visit the official documentation on T-SQL queries and the GROUP BY clause at T-SQL GROUP BY.

質問 # 89
You are implementing a medallion architecture in a single Fabric workspace.
You have a lakehouse that contains the Bronze and Silver layers and a warehouse that contains the Gold layer.
You create the items required to populate the layers as shown in the following table.

You need to ensure that the layers are populated daily in sequential order such that Silver is populated only after Bronze is complete, and Gold is populated only after Silver is complete. The solution must minimize development effort and complexity.
What should you use to execute each set of items? To answer, drag the appropriate options to the correct items. Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:
To execute each set of items in sequential order with minimized development effort and complexity, you should use the following options:
Orchestration pipeline: Use a pipeline with an Invoke pipeline activity. This allows for orchestrating and scheduling the execution of other pipelines, ensuring they run in the correct sequence.
Bronze layer: Implement a pipeline Copy activity. This aligns with the table indicating that the Bronze layer uses pipelines with Copy activities for data integration.
Silver layer: Implement a pipeline Dataflow activity. The table specifies that Dataflows are used for the Silver layer.
Gold layer: Implement a pipeline Stored procedure activity. Stored procedures are specified for the Gold layer according to the table.

質問 # 90
Hotspot Question
You have a Fabric warehouse that contains two tables named DimDate and Trips.
DimDate contains the following fields.

Trips contains the following fields.

You need to compare the average miles per trip for statutory holidays versus non-statutory holidays.
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.

正解：

解説：

質問 # 91
You have two Microsoft Power Bl queries named Employee and Retired Roles.
You need to merge the Employee query with the Retired Roles query. The solution must ensure that rows in the Employee query that match the Retired Roles query are removed.
Which column and Join Kind should you use in Power Query Editor? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point

正解：

解説：

Explanation:

質問 # 92
You have a Fabric tenant that contains a lakehouse named lakehouse1. Lakehouse1 contains an unpartitioned table named Table1.
You plan to copy data to Table1 and partition the table based on a date column in the source data.
You create a Copy activity to copy the data to Table1.
You need to specify the partition column in the Destination settings of the Copy activity.
What should you do first?

A. From the Destination tab, select the partition column,
B. From the Destination tab, set Mode to Append.
C. From the Destination tab, set Mode to Overwrite.
D. From the Source tab, select Enable partition discovery

正解：C

解説：
Before specifying the partition column in the Destination settings of the Copy activity, you should set Mode to Append (A). This will allow the Copy activity to add data to the table while taking the partition column into account. Reference = The configuration options for Copy activities and partitioning in Azure Data Factory, which are applicable to Fabric dataflows, are outlined in the official Azure Data Factory documentation.

質問 # 93
......

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