Microsoft DP-750

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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace that is enabled for Unity Catalog. You plan to run the following PySpark code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

2. You need to configure compute for the ingestion of telemetry data. The solution must meet the data ingestion and processing requirements.
What should you do?

A) Move the ingestion pipelines to shared compute.
B) Enable Photon acceleration for a job compute cluster.
C) Disable autoscaling for a job compute cluster.
D) Increase an all-purpose cluster to a larger fixed node type.

3. You need to complete the PySpark code for the Spark Structured Streaming pipelines. The solution must meet the data ingestion and processing requirements.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

4. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Sales. Sales stores transaction data and contains the following columns:
* transactionjd (string)
* transaction date (date)
* amount (decimal)
You need to implement the following data quality requirements by using table-level data quality enforcement:
* amount must be greater than 0.
* transaction id must never be null.
* Invalid records must be rejected when data is written to the Sales table.
What should you do?

A) Configure row-level security (RLS) where transactionjd is null or amount is less than or equal to 0.
B) Add a not null constraint to transactionjd and a check constraint to amount.
C) Use a select statement with where conditions to validate the data before querying.
D) Create a view that filters out rows where transactionjd is null or amount is less than or equal to 0.

5. You need to configure resiliency for a job in Lakeflow Jobs named Job1 to meet the pipeline deployment and operation requirements.
What should you do?

A) Enable task-level retries on the ingestion task and leave downstream tasks unchanged.
B) Enable a restart upon a job failure and set the retry count to 0.
C) Configure Job1 to start always from the first task when any task fails.
D) Disable retries and configure Job1 to run manually only.

Solutions: