AUTHORIZED VALUABLE DP-700 FEEDBACK & LEADER IN QUALIFICATION EXAMS & HIGH-QUALITY DP-700: IMPLEMENTING DATA ENGINEERING SOLUTIONS USING MICROSOFT FABRIC

Authorized Valuable DP-700 Feedback & Leader in Qualification Exams & High-quality DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric

Authorized Valuable DP-700 Feedback & Leader in Qualification Exams & High-quality DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q49-Q54):

NEW QUESTION # 49
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

Explanation:
The technical requirements specify that:
Why Use a Data Pipeline That Calls Other Data Pipelines?
- Sequential execution of child pipelines.
- Error handling to send email notifications upon failures.
- Parallel execution of tasks where possible (e.g., simultaneous imports into the bronze layer).


NEW QUESTION # 50
You have a Fabric workspace that contains a warehouse named Warehouse1. Data is loaded daily into Warehouse1 by using data pipelines and stored procedures.
You discover that the daily data load takes longer than expected.
You need to monitor Warehouse1 to identify the names of users that are actively running queries.
Which view should you use?

  • A. queryinsights.long_running_queries
  • B. sys.dm_exec_sessions
  • C. sys.dm_exec_requests
  • D. queryinsights.frequently_run_queries
  • E. sys.dm_exec_connections

Answer: B

Explanation:
sys.dm_exec_sessions provides real-time information about all active sessions, including the user, session ID, and status of the session. You can filter on session status to see users actively running queries.


NEW QUESTION # 51
You have a Fabric workspace named Workspace1 that contains a notebook named Notebook1.
In Workspace1, you create a new notebook named Notebook2.
You need to ensure that you can attach Notebook2 to the same Apache Spark session as Notebook1.
What should you do?

  • A. Change the runtime version.
  • B. Increase the number of executors.
  • C. Enable dynamic allocation for the Spark pool.
  • D. Enable high concurrency for notebooks.

Answer: D

Explanation:
To ensure that Notebook2 can attach to the same Apache Spark session as Notebook1, you need to enable high concurrency for notebooks. High concurrency allows multiple notebooks to share a Spark session, enabling them to run within the same Spark context and thus share resources like cached data, session state, and compute capabilities. This is particularly useful when you need notebooks to run in sequence or together while leveraging shared resources.


NEW QUESTION # 52
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format.

Reference contains reference data in the following format.

Both tables contain millions of rows.
You have the following KQL queryset.

You need to reduce how long it takes to run the KQL queryset.
Solution: You change the join type to kind=outer.
Does this meet the goal?

  • A. No
  • B. Yes

Answer: A

Explanation:
An outer join will include unmatched rows from both tables, increasing the dataset size and processing time. It does not improve query performance.


NEW QUESTION # 53
You need to ensure that usage of the data in the Amazon S3 bucket meets the technical requirements.
What should you do?

  • A. Create a shortcut and ensure that caching is enabled for the workspace.
  • B. Create a workspace identity and enable high concurrency for the notebooks.
  • C. Create a workspace identity and use the identity in a data pipeline.
  • D. Create a shortcut and ensure that caching is disabled for the workspace.

Answer: D

Explanation:
To ensure that the usage of the data in the Amazon S3 bucket meets the technical requirements, we must address two key points:


NEW QUESTION # 54
......

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