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Microsoft DP-700 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | Implementing Data Engineering Solutions Using Microsoft Fabric |
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| Exam Number: | DP-700 |
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| Passing Score: | 700 (scaled score 100–1000) |
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| Exam Format: | Scenario-based, Interactive items, Multiple choice, Case studies, Multiple select |
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| Related Certifications: | Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure Data Engineer Associate |
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| Available Languages: | Portuguese (Brazil), Korean, Chinese (Simplified), German, Spanish, French, Japanese, English |
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| Exam Duration: | 100 minutes |
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| Real Exam Qty: | 50–60 |
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| Certificate Validity Period: | 1 year |
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| Exam Price: | $165 USD |
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| Recommended Training: | Microsoft Fabric Documentation Microsoft Learn: Implementing Data Engineering Solutions Using Microsoft Fabric |
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| Exam Registration: | Pearson VUE Registration Microsoft Official Exam Registration |
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| Sample Questions: | Microsoft DP-700 Sample Questions |
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| Exam Way: | Online proctored or onsite testing center |
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| Pre Condition: | No mandatory prerequisites; recommended experience with data integration, transformation, SQL, PySpark, KQL, and Microsoft Fabric |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-700 |
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Microsoft DP-700 認定試験の出題範囲:
| トピック | 出題範囲 |
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| トピック 1 | - 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.
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| トピック 2 | - 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.
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| トピック 3 | - 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.
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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric 認定 DP-700 試験問題 (Q79-Q84):
質問 # 79
You need to schedule the population of the medallion layers to meet the technical requirements.
What should you do?
- A. Schedule a data pipeline that calls other data pipelines.
- B. Schedule an Apache Spark job.
- C. Schedule a notebook.
- D. Schedule multiple data pipelines.
正解:A
質問 # 80
You have a Fabric workspace that contains a takehouse and a semantic model named Model1.
You use a notebook named Notebook1 to ingest and transform data from an external data source.
You need to execute Notebook1 as part of a data pipeline named Pipeline1. The process must meet the following requirements:
* Run daily at 07:00 AM UTC.
* Attempt to retry Notebook1 twice if the notebook fails.
* After Notebook1 executes successfully, refresh Model1.
Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A. Place the Semantic model refresh activity after the Notebook activity and link the activities by using an On completion condition.
- B. From the Schedule settings of Pipeline1, set the time zone to UTC.
- C. Set the Retry setting of the Notebook activity to 2.
- D. Place the Semantic model refresh activity after the Notebook activity and link the activities by using the On success condition.
- E. Set the Retry setting of the Semantic model refresh activity to 2.
- F. From the Schedule settings of Notebook1, set the time zone to UTC.
正解:B、C、D
質問 # 81
You need to recommend a solution to resolve the MAR1 connectivity issues. The solution must minimize development effort. What should you recommend?
- A. Configure Fault tolerance for the Copy data activity.
- B. Call a notebook from the data pipeline.
- C. Add a ForEach activity to the data pipeline.
- D. Configure retries for the Copy data activity.
正解:D
質問 # 82
You have a Fabric workspace that contains a lakehouse named Lakehouse1.
In an external data source, you have data files that are 500 GB each. A new file is added every day.
You need to ingest the data into Lakehouse1 without applying any transformations. The solution must meet the following requirements Trigger the process when a new file is added.
Provide the highest throughput.
Which type of item should you use to ingest the data?
- A. Dataflow Gen2
- B. Event stream
- C. Data pipeline
- D. Streaming dataset
正解:C
質問 # 83
You need to implement the solution for the book reviews.
Which should you do?
- A. Create a shortcut.
- B. Enable external data sharing.
- C. Create a Dataflow Gen2 dataflow.
- D. Create a data pipeline.
正解:A
解説:
The requirement specifies that Litware plans to make the book reviews available in the lakehouse without making a copy of the data. In this case, creating a shortcut in Fabric is the most appropriate solution. A shortcut is a reference to the external data, and it allows Litware to access the book reviews stored in Amazon S3 without duplicating the data into the lakehouse.
質問 # 84
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