Microsoft Implementing Data Engineering Solutions Using Azure Databricks : DP-750 Exam

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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 need to recommend a pipeline that ingests files from cloud storage, performs cleansing and enrichment transformations, and writes created Delta tables for analytics. The solution must minimize development effort and provide built-in monitoring and automatic retries.
What should you include in the recommendation?

A) a Lakeflow Spark Declarative Pipelines (SDPJ pipeline
B) an Apache Spark Structured Streaming job
C) an Azure Data Factory pipeline that uses data flows
D) a Databricks notebook triggered by a scheduled job

2. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named finance, finance contains two schemas named default and procurement.
You need to create a table named assets in the procurement schema, assets must contain the following columns:
* asset.id
* asset, type
* asset_name
How should you complete the SQL statement? To answer, drag the appropriate values to the correct targets.
Each value may be used once, more than once, or not at all You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.

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

4. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to implement a data lifecycle and expiration solution that meets the following requirements
* Transaction logs and deleted data files that are older than 90 days must be removed from Delta tables to reclaim storage.
* All the tables must remain available for querying during the cleanup process.
* Administrative effort must be minimized
What should you do for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

5. You need to curate Unity Catalog objects that reference the ERP data. The solution must meet the governance requirements.
What should you do?

A) Run the ALTER TABLE command on the foreign catalog tables to add new columns that are required for analytics.
B) Create Delta tables directly inside the foreign catalog by running the CREATE TABLE AS SELECT (CTAS) command.
C) In the managed analytics catalog, create views that reference foreign catalog tables that use three-level naming.
D) Create a volume in the foreign catalog and store curated Delta tables in the volume.

Solutions: