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Microsoft DP-700 Exam Syllabus Topics:

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

Section

Weight

Objectives

Implement and manage an analytics solution

30–35%

- Configure workspace settings

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

- Manage data lifecycle and governance

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

- Manage data storage

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

Monitor and optimize an analytics solution

30–35%

- Monitor analytics solutions

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

- Troubleshoot issues

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

- Optimize performance

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

Ingest and transform data

30–35%

- Design and implement data loading patterns

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

- Transform data

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

- Orchestrate data operations

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

- Ingest data

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

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q19-Q24):

NEW QUESTION # 19
You are building a data orchestration pattern by using a Fabric data pipeline named Dynamic Data Copy as shown in the exhibit. (Click the Exhibit tab.)

Dynamic Data Copy does NOT use parametrization.
You need to configure the ForEach activity to receive the list of tables to be copied.
How should you complete the pipeline expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 20
You have a table in a Fabric lakehouse that contains the following data.

You have a notebook that contains the following code segment.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 21
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:

Explanation:

NEW QUESTION # 22
You have a Fabric workspace that contains a data pipeline named Pipeline! as shown in the exhibit.
(Click the Exhibit tab.) What will occur the next time Pipelinel tuns?

A. Execute procedurel will run and Copy_kdi will be skipped.
B. Both activities will run simultaneously.
C. Both activities will be skipped.
D. Copy.kdi will run first, and then Execute procedurel will run.
E. Execute procedure1 will run first, and then Copy_kdi will run.
F. Copy.kdi will run and Execute procedurel will be skipped.

Answer: F

NEW QUESTION # 23
Your company has a team of developers. The team creates Python libraries of reusable code that is used to transform data.
You create a Fabric workspace name Workspace1 that will be used to develop extract, transform, and load (ETL) solutions by using notebooks.
You need to ensure that the libraries are available by default to new notebooks in Workspace1.
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 # 24
......

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