최신DP-700시험대비최신버전덤프시험덤프자료

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Microsoft DP-700 Exam Syllabus Topics:

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

Section

Weight

Objectives

Monitor and optimize an analytics solution

30–35%

- Troubleshoot issues

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

- Monitor analytics solutions

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

- Optimize performance

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

Implement and manage an analytics solution

30–35%

- Manage data lifecycle and governance

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

- Manage data storage

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

- Configure workspace settings

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

Ingest and transform data

30–35%

- Design and implement data loading patterns

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

- Transform data

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

- Ingest data

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

- Orchestrate data operations

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

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최신 Microsoft Certified: Fabric Data Engineer Associate DP-700 무료샘플문제 (Q64-Q69):

질문 # 64
HOTSPOT
You have a Fabric workspace that contains a warehouse named DW1. DW1 contains the following tables and columns.

You need to create an output that presents the summarized values of all the order quantities by year and product. The results must include a summary of the order quantities at the year level for all the products.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:

질문 # 65
You have a Google Cloud Storage (GCS) container named storage1 that contains the files shown in the following table.

You have a Fabric workspace named Workspace1 that has the cache for shortcuts enabled. Workspace1 contains a lakehouse named Lakehouse1. Lakehouse1 has the shortcuts shown in the following table.

You need to read data from all the shortcuts.
Which shortcuts will retrieve data from the cache?

A. Trips only
B. Products, Stores, and Trips
C. Products and Trips only
D. Stores only
E. Stores and Products only
F. Products only

정답：E

설명：
When reading data from shortcuts in Fabric (in this case, from a lakehouse like Lakehouse1), the cache for shortcuts helps by storing the data locally for quick access. The last accessed timestamp and the cache expiration rules determine whether data is fetched from the cache or from the source (Google Cloud Storage, in this case).
Products: The ProductFile.parquet was last accessed 12 hours ago. Since the cache has data available for up to
12 hours, it is likely that this data will be retrieved from the cache, as it hasn ' t been too long since it was last accessed.
Stores: The StoreFile.json was last accessed 4 hours ago, which is within the cache retention period.
Therefore, this data will also be retrieved from the cache.
Trips: The TripsFile.csv was last accessed 48 hours ago. Given that it ' s outside the typical caching window (assuming the cache has a maximum retention period of around 24 hours), it would not be retrieved from the cache. Instead, it will likely require a fresh read from the source.

질문 # 66
HOTSPOT
You have a Fabric workspace that contains a warehouse named DW1. DW1 contains the following tables and columns.

You need to create an output that presents the summarized values of all the order quantities by year and product. The results must include a summary of the order quantities at the year level for all the products.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:

질문 # 67
You need to recommend a solution to resolve the MAR1 connectivity issues. The solution must minimize development effort. What should you recommend?

A. Call a notebook from the data pipeline.
B. Configure Fault tolerance for the Copy data activity.
C. Configure retries for the Copy data activity.
D. Add a ForEach activity to the data pipeline.

정답：C

질문 # 68
Your company has three newly created data engineering teams named Team1, Team2, and Team3 that plan to use Fabric. The teams have the following personas:
* Team1 consists of members who currently use Microsoft Power BI. The team wants to transform data by using by a low-code approach.
* Team2 consists of members that have a background in Python programming. The team wants to use PySpark code to transform data.
* Team3 consists of members who currently use Azure Data Factory. The team wants to move data between source and sink environments by using the least amount of effort.
You need to recommend tools for the teams based on their current personas.
What should you recommend for each team? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:

질문 # 69
......

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