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Microsoft DP-700 Exam Syllabus Topics:

Section	Weight	Objectives
Implement and manage an analytics solution	30–35%	- Manage data storage 1. Implement data mirroring 2. Choose appropriate data stores 3. Create and manage OneLake shortcuts - Configure workspace settings 1. Configure domain workspace settings 2. Configure Spark workspace settings 3. Configure OneLake workspace settings 4. Configure Microsoft Fabric workspace settings 5. Configure Dataflows Gen2 settings - Manage data lifecycle and governance 1. Manage data access and security 2. Implement data retention and archiving 3. Implement data governance with Microsoft Purview
Monitor and optimize an analytics solution	30–35%	- Troubleshoot issues 1. Identify and resolve notebook and Spark errors 2. Identify and resolve Dataflow errors 3. Identify and resolve pipeline errors 4. Identify and resolve storage and query errors - Monitor analytics solutions 1. Monitor semantic model refreshes 2. Monitor data ingestion and transformation 3. Monitor Fabric items and activities 4. Configure alerts and notifications - Optimize performance 1. Optimize storage efficiency 2. Optimize Lakehouse and data warehouse performance 3. Optimize Spark and query performance 4. Optimize pipelines and data flows
Ingest and transform data	30–35%	- Orchestrate data operations 1. Use parameters and dynamic expressions 2. Implement schedules and triggers 3. Orchestrate with notebooks and pipelines - Ingest data 1. Ingest data using pipelines 2. Ingest data using Dataflows Gen2 3. Ingest data using Eventstreams - Design and implement data loading patterns 1. Design full and incremental data loads 2. Design streaming data loading patterns 3. Prepare data for dimensional models - Transform data 1. Transform data using SQL 2. Transform data using KQL 3. Clean, denormalize, and aggregate data 4. Transform data using PySpark

Section

Weight

Objectives

Implement and manage an analytics solution

30–35%

- Manage data storage

1. Implement data mirroring
2. Choose appropriate data stores
3. Create and manage OneLake shortcuts

- Configure workspace settings

1. Configure domain workspace settings
2. Configure Spark workspace settings
3. Configure OneLake workspace settings
4. Configure Microsoft Fabric workspace settings
5. Configure Dataflows Gen2 settings

- Manage data lifecycle and governance

1. Manage data access and security
2. Implement data retention and archiving
3. Implement data governance with Microsoft Purview

Monitor and optimize an analytics solution

30–35%

- Troubleshoot issues

1. Identify and resolve notebook and Spark errors
2. Identify and resolve Dataflow errors
3. Identify and resolve pipeline errors
4. Identify and resolve storage and query errors

- Monitor analytics solutions

1. Monitor semantic model refreshes
2. Monitor data ingestion and transformation
3. Monitor Fabric items and activities
4. Configure alerts and notifications

- Optimize performance

1. Optimize storage efficiency
2. Optimize Lakehouse and data warehouse performance
3. Optimize Spark and query performance
4. Optimize pipelines and data flows

Ingest and transform data

30–35%

- Orchestrate data operations

1. Use parameters and dynamic expressions
2. Implement schedules and triggers
3. Orchestrate with notebooks and pipelines

- Ingest data

1. Ingest data using pipelines
2. Ingest data using Dataflows Gen2
3. Ingest data using Eventstreams

- Design and implement data loading patterns

1. Design full and incremental data loads
2. Design streaming data loading patterns
3. Prepare data for dimensional models

- Transform data

1. Transform data using SQL
2. Transform data using KQL
3. Clean, denormalize, and aggregate data
4. Transform data using PySpark

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q76-Q81):

NEW QUESTION # 76
You have a Fabric capacity that contains a workspace named Workspace1. Workspace1 contains a lakehouse named Lakehouse1, a data pipeline, a notebook, and several Microsoft Power BI reports.
A user named User1 wants to use SQL to analyze the data in Lakehouse1.
You need to configure access for User1. The solution must meet the following requirements:
What should you do?

A. Assign User1 the Member role for Workspace1. Share Lakehouse1 with User1 and select Read all SQL endpoint data.
B. Share Lakehouse1 with User1 directly and select Read all SQL endpoint data.
C. Share Lakehouse1 with User1 directly and select Build reports on the default semantic model.
D. Assign User1 the Viewer role for Workspace1. Share Lakehouse1 with User1 and select Read all SQL endpoint data.

Answer: D

Explanation:
To meet the specified requirements for User1, the solution must ensure:
Read access to the table data in Lakehouse1: User1 needs permission to access the data within Lakehouse1. By sharing Lakehouse1 with User1 and selecting the Read all SQL endpoint data option, User1 will be able to query the data via SQL endpoints.
Prevent Apache Spark usage: By sharing the lakehouse directly and selecting the SQL endpoint data option, you specifically enable SQL-based access to the data, preventing User1 from using Apache Spark to query the data.
Prevent access to other items in Workspace1: Assigning User1 the Viewer role for Workspace1 ensures that User1 can only view the shared items (in this case, Lakehouse1), without accessing other resources such as notebooks, pipelines, or Power BI reports within Workspace1.
This approach provides the appropriate level of access while restricting User1 to only the required resources and preventing access to other workspace assets.

NEW QUESTION # 77
You have a Fabric workspace that contains a warehouse named Warehouse1 Warehousel contains a table named DimCustomers. DimCustomers contains the following columns:
* CustomerName
* CustomerlD
* Birth Date
* Email
You need to configure security to meet the following requirements:
* Birth Date in DimCustomer must be masked and display 1960-01-01
* Email in DimCustomer must be masked and display only the first leading character and the last five characters.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 78
You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains a table named Customer. Customer contains the following data.

Answer:

Explanation:

Explanation:

NEW QUESTION # 79
You need to schedule the population of the medallion layers to meet the technical requirements.
What should you do?

A. Schedule multiple data pipelines.
B. Schedule a data pipeline that calls other data pipelines.
C. Schedule an Apache Spark job.
D. Schedule a notebook.

Answer: B

NEW QUESTION # 80
You need to ensure that the authors can see only their respective sales data.
How should you complete the statement? To answer, drag the appropriate values the correct targets. Each value 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.

Answer:

Explanation:

NEW QUESTION # 81
......

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