Databricks Data Engineer Professional exam dumps

Databricks Data Engineer Professional practice question 85 of 313

Databricks Certified Data Engineer Professional. Professional level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Professional Question 85

Select 3

You are tasked with implementing a stream-static join in Databricks to enrich streaming data from a Kafka source with static data stored in a Delta table. The static Delta table contains customer information, while the streaming data contains transactions with a customer_id field. Which of the following steps are necessary to correctly implement the stream-static join in Databricks?

  1. A

    Load the static Delta table into a DataFrame.

  2. B

    Use the join operation with an appropriate join condition based on the customer_id field.

  3. C

    Ensure the static DataFrame is continuously updated to reflect new data before performing the join.

  4. D

    Write the joined result to a Delta table using a streaming write operation.

  5. E

    Cache the static DataFrame to improve join performance.

Show answer and explanation

Correct answers: A, B, D

Explanation

To implement a stream-static join in Databricks, the static Delta table must be loaded into a DataFrame, and a join operation must be performed with a valid condition. The joined result should be written to a sink using a streaming write operation. Continuously updating the static DataFrame or caching it is not a strict requirement for this operation.

  • A. Correct.

    Correct. To perform a stream-static join, the static Delta table must be loaded into a DataFrame so it can be used in the join operation.

  • B. Correct.

    Correct. A join operation with a valid join condition (e.g., matching customer_id in the streaming and static datasets) is required to combine the data.

  • C. Incorrect.

    Incorrect. The static DataFrame does not need to be continuously updated. Stream-static joins assume the static dataset remains unchanged during the streaming process.

  • D. Correct.

    Correct. After performing the join, the combined result needs to be written to a sink, such as a Delta table, using a streaming write operation.

  • E. Incorrect.

    Incorrect. While caching the static DataFrame might improve performance, it is not a mandatory step for implementing stream-static joins.

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