Page: 1
/
14
Total 67 questions
Curious about Actual Microsoft Fabric Data Engineer Associate (DP-700) Exam Questions?
Here are sample Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) Exam questions from real exam. You can get more Microsoft Fabric Data Engineer Associate (DP-700) Exam premium practice questions at TestInsights.
Question 1
You need to ensure that usage of the data in the Amazon S3 bucket meets the technical requirements.
What should you do?
Correct : B
To ensure that the usage of the data in the Amazon S3 bucket meets the technical requirements, we must address two key points:
Start a Discussions
Submit Your Answer:
Question 2
You need to populate the MAR1 data in the bronze layer.
Which two types of activities should you include in the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Correct : A, B
MAR1 has seven entities, each accessible via a different API endpoint. A ForEach activity is required to iterate over these endpoints to fetch data from each one. It enables dynamic execution of API calls for each entity.
The Copy data activity is the primary mechanism to extract data from REST APIs and load it into the bronze layer in Delta format. It supports native connectors for REST APIs and Delta, minimizing development effort.
Start a Discussions
Submit Your Answer:
Question 3
You need to implement the solution for the book reviews.
Which should you do?
Correct : B
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.
Start a Discussions
Submit Your Answer:
Question 4
You need to resolve the sales data issue. The solution must minimize the amount of data transferred.
What should you do?
Correct : E
The sales data issue can be resolved by configuring incremental refresh for the dataflow. Incremental refresh allows for only the new or changed data to be processed, minimizing the amount of data transferred and improving performance.
The solution specifies that data older than one month never changes, so setting the refresh period to 1 Month is appropriate. This ensures that only the most recent month of data will be refreshed, reducing unnecessary data transfers.
Start a Discussions
Submit Your Answer:
Question 5
You have a Fabric workspace.
You have semi-structured data.
You need to read the data by using T-SQL, KQL, and Apache Spark. The data will only be written by using Spark.
What should you use to store the data?
Correct : A
A lakehouse is the best option for storing semi-structured data when you need to read it using T-SQL, KQL, and Apache Spark. A lakehouse combines the flexibility of a data lake (which can handle semi-structured and unstructured data) with the performance features of a data warehouse. It allows data to be written using Apache Spark and can be queried using different technologies such as T-SQL (for SQL-based querying), KQL (Kusto Query Language for querying), and Apache Spark (for distributed processing). This solution is ideal when dealing with semi-structured data and requiring a versatile querying approach.
Start a Discussions
Submit Your Answer:
All Official Question Types