Microsoft DP-700 Practice Test - Questions Answers

To ensure that the usage of the data in the Amazon S3 bucket meets the technicalrequirements, we must address two key points:Minimize egress costs associated with cross-cloud data access: Using a shortcut ensures thatFabric does not replicate the data from the S3 bucket into the lakehouse but rather providesdirect access to the data in its original location. This minimizes cross-cloud data transfer andavoids additional egress costs.Prevent saving a copy of the raw data in the lakehouses: Disabling caching ensures that the rawdata is not copied or persisted in the Fabric workspace. The data is accessed on-demanddirectly from the Amazon S3 bucket.

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.

The technical requirements specify that:

Medallion layers must be fully populated sequentially (bronze silver gold). Each layer must be populated before the next.

If any step fails, the process must notify the data engineers.

Data imports should run simultaneously when possible.

Why Use a Data Pipeline That Calls Other Data Pipelines?

A data pipeline provides a modular and reusable approach to orchestrating the sequential population of medallion layers.

By calling other pipelines, each pipeline can focus on populating a specific layer (bronze, silver, or gold), simplifying development and maintenance.

A parent pipeline can handle:

- 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).

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.

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.