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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 - Manage data lifecycle and governance 1. Manage data access and security 2. Implement data governance with Microsoft Purview 3. Implement data retention and archiving - Configure workspace settings 1. Configure OneLake workspace settings 2. Configure domain workspace settings 3. Configure Dataflows Gen2 settings 4. Configure Microsoft Fabric workspace settings 5. Configure Spark workspace settings
Monitor and optimize an analytics solution	30–35%	- Monitor analytics solutions 1. Monitor data ingestion and transformation 2. Monitor Fabric items and activities 3. Monitor semantic model refreshes 4. Configure alerts and notifications - Troubleshoot issues 1. Identify and resolve Dataflow errors 2. Identify and resolve storage and query errors 3. Identify and resolve pipeline errors 4. Identify and resolve notebook and Spark errors - 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%	- 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 - 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 Dataflows Gen2 2. Ingest data using Eventstreams 3. Ingest data using pipelines - Transform data 1. Clean, denormalize, and aggregate data 2. Transform data using PySpark 3. Transform data using KQL 4. Transform data using SQL

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

- Manage data lifecycle and governance

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

- Configure workspace settings

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

Monitor and optimize an analytics solution

30–35%

- Monitor analytics solutions

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

- Troubleshoot issues

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

- 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%

- 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

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

- Transform data

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

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q111-Q116):

NEW QUESTION # 111
You have a Fabric workspace named Workspace1 that contains the items shown in the following table.

For Model1, the Keep your Direct Lake data up to date option is disabled.
You need to configure the execution of the items to meet the following requirements:
How should you orchestrate each item? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 112
You are implementing the following data entities in a Fabric environment:
Entity1: Available in a lakehouse and contains data that will be used as a core organization entity Entity2: Available in a semantic model and contains data that meets organizational standards Entity3: Available in a Microsoft Power BI report and contains data that is ready for sharing and reuse Entity4: Available in a Power BI dashboard and contains approved data for executive-level decision making Your company requires that specific governance processes be implemented for the data.
You need to apply endorsement badges to the entities based on each entity's use case.
Which badge should you apply to each entity? To answer, drag the appropriate badges the correct entities.
Each badge 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:

Explanation:

NEW QUESTION # 113
You have a Fabric workspace named Workspace1.
You plan to configure Git integration for Workspacel by using an Azure DevOps Git repository. An Azure DevOps admin creates the required artifacts to support the integration of Workspacel Which details do you require to perform the integration?

A. the Git repository URL and the Git folder
B. the personal access token (PAT) for Git authentication and the Git repository URL
C. the project, Git repository, branch, and Git folder
D. the organization, project. Git repository, and branch

Answer: D

NEW QUESTION # 114
You have a Fabric workspace named Workspace1.
You need to implement workspace monitoring for Workspace1. The solution must meet the following requirements:
* Ensure that the logs and metrics of the items in Workspace1 are collected automatically.
* Minimize administrative effort.
What should you do?

A. From Workspace settings, add an eventhouse.
B. From Workspace settings, connect an Azure Data Lake Storage Gen2 account.
C. From Workspace settings, connect a Log Analytics workspace.
D. In Workspace1, create a lakehouse and an eventstream.

Answer: D

NEW QUESTION # 115
You have the development groups shown in the following table.

You have the projects shown in the following table.

You need to recommend which Fabric item to use based on each development group ' s skillset The solution must meet the project requirements and minimize development effort What should you recommend for each group? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 116
......

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