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Microsoft DP-700 Exam Syllabus Topics:
Topic
Details
Topic 1
- Ingest and transform data: This section of the exam measures the skills of Data Engineers that cover designing and implementing data loading patterns. It emphasizes preparing data for loading into dimensional models, handling batch and streaming data ingestion, and transforming data using various methods. A skill to be measured is applying appropriate transformation techniques to ensure data quality.
Topic 2
- Implement and manage an analytics solution: This section of the exam measures the skills of Microsoft Data Analysts regarding configuring various workspace settings in Microsoft Fabric. It focuses on setting up Microsoft Fabric workspaces, including Spark and domain workspace configurations, as well as implementing lifecycle management and version control. One skill to be measured is creating deployment pipelines for analytics solutions.
Topic 3
- Monitor and optimize an analytics solution: This section of the exam measures the skills of Data Analysts in monitoring various components of analytics solutions in Microsoft Fabric. It focuses on tracking data ingestion, transformation processes, and semantic model refreshes while configuring alerts for error resolution. One skill to be measured is identifying performance bottlenecks in analytics workflows.
Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q40-Q45):
NEW QUESTION # 40
You need to recommend a solution to resolve the MAR1 connectivity issues. The solution must minimize development effort. What should you recommend?
- A. Configure retries for the Copy data activity.
- B. Call a notebook from the data pipeline.
- C. Add a ForEach activity to the data pipeline.
- D. Configure Fault tolerance for the Copy data activity.
Answer: A
NEW QUESTION # 41
You have a Fabric notebook named Notebook1 that has been executing successfully for the last week.
During the last run, Notebook1executed nine jobs.
You need to view the jobs in a timeline chart.
What should you use?
- A. Spark History Server
- B. Monitoring hub
- C. the run series from the details of the application run
- D. the job history from the application run
- E. Real-Time hub
Answer: E
Explanation:
The run series from the details of the application run is the most detailed and relevant feature for visualizing job execution in a timeline format, making it the correct choice for this scenario. It provides an intuitive way to analyze job execution patterns and improve the efficiency of the notebook.
NEW QUESTION # 42
HOTSPOT
You need to troubleshoot the ad-hoc query issue.
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:
A screenshot of a computer Description automatically generated
SELECT last_run_start_time, last_run_command: These fields will help identify the execution details of the long-running queries.
FROM queryinsights.long_running_queries: The correct solution is to check the long-running queries using the queryinsights.long_running_queries view, which provides insights into queries that take longer than expected to execute.
WHERE last_run_total_elapsed_time_ms > 7200000: This condition filters queries that took more than 2 hours to complete (7200000 milliseconds), which is relevant to the issue described.
AND number_of_failed_runs > 1: This condition is key for identifying queries that have failed more than once, helping to isolate the problematic queries that cause failures and need attention.
NEW QUESTION # 43
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. Copy.kdi will run and Execute procedurel will be skipped.
- B. Execute procedure1 will run first, and then Copy_kdi will run.
- C. Copy.kdi will run first, and then Execute procedurel will run.
- D. Both activities will run simultaneously.
- E. Both activities will be skipped.
- F. Execute procedurel will run and Copy_kdi will be skipped.
Answer: A
NEW QUESTION # 44
You have an Azure SQL database named DB1.
In a Fabric workspace, you deploy an eventstream named EventStreamDBI to stream record changes from DB1 into a lakehouse.
You discover that events are NOT being propagated to EventStreamDBI.
You need to ensure that the events are propagated to EventStreamDBI.
What should you do?
- A. Create an Azure Stream Analytics job.
- B. Create a read-only replica of DB1.
- C. Enable change data capture (CDC) for DB1.
- D. Enable Extended Events for DB1.
Answer: C
NEW QUESTION # 45
......
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