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Microsoft DP-750 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Set up and configure an Azure Databricks environment | 15–20% | - Select and configure compute resources
|
| Topic 2: Secure and govern Unity Catalog objects | 15–20% | - Implement data governance and security
|
| Topic 3: Deploy and maintain data pipelines and workloads | 30–35% | - Build and orchestrate pipelines
|
| Topic 4: Prepare and process data | 30–35% | - Optimize and manage data storage
|
Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
1. You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job1 processes raw data files stored in Azure Storage.
New files arrive at unpredictable intervals.
You need to ensure that Job1 starts automatically when new files arrive and does NOT consume compute resources when no data is available.
Which type of job trigger should you use?
A) manual
B) file arrival
C) scheduled
D) continuous
2. You have a Lakeflow Spark Declarative Pipelines {SDP) pipeline in Azure Databricks. The pipeline ingests transaction data into a table named Table1.
You need to ensure that in the event of an invalid record, the pipeline continues to run. The solution must meet the following requirements:
* Invalid records must NOT be written to Table 1.
* Invalid records must be preserved for review.
* Minimize development effort
What should you do?
A) Implement advanced logic to quarantine the invalid records.
B) Add a check constraint to Table1
C) Define a pipeline expectation.
D) Run were clauses in downstream queries to filter out invalid records.
3. You have an Azure Databricks workspace.
Users report that a Databricks notebook that runs each day takes longer than expected to run.
When reading the Directed Acyclic Graph (DAG), you discover the following issues concerning the Apache Spark stage:
* Most tasks in the stage finish quickly.
* A few tasks in the stage run more slowly.
* The CPU is underutilized at the end of the stage.
* The slow tasks process many more input records.
* The stage is blocked while it waits for the few slow tasks.
What is the root cause of the issues?
A) caching
B) spilling
C) shuffling
D) skewing
4. You have an Azure Databricks workspace that uses serverless compute.
You need to ingest data by using Lakeflow Jobs. New records must be processed as soon as they become available.
Which type of job trigger should you use for the ingestion?
A) manual
B) file arrival
C) scheduled
D) continuous
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:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |



