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Microsoft DP-750 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare and process data | 30-35% | - Data transformation and modeling
|
| Configure and manage Azure Databricks environments | 15-20% | - Workspace and compute configuration
|
| Deploy and manage data pipelines and workloads | 30-35% | - Lakehouse architecture operations
|
| Secure and govern data using Unity Catalog | 15-20% | - Data governance fundamentals
|
Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
1. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Orders.
You load the Orders table into an Apache Spark DataFrame named df.
You need to create a DataFrame that excludes rows where the order amount is null.
Solution: You run the following expression.
df.filter(df.order_amount != None)
Does this meet the goal?
A) No
B) Yes
2. You need to curate Unity Catalog objects that reference the ERP data. The solution must meet the governance requirements.
What should you do?
A) Create Delta tables directly inside the foreign catalog by running the CREATE TABLE AS SELECT (CTAS) command.
B) Create a volume in the foreign catalog and store curated Delta tables in the volume.
C) In the managed analytics catalog, create views that reference foreign catalog tables that use three-level naming.
D) Run the ALTER TABLE command on the foreign catalog tables to add new columns that are required for analytics.
3. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to create an external volume named Volume1 in an existing schema. Volume1 must expose files from an Azure Storage container. The solution must meet the following requirements:
* Ensure that authentication does NOT require storing credentials in Databricks
* Ensure that users can access the files, but NOT modify the files.
* Follow the principle of least privilege
Which type of authentication should you configure, and which permission should you grant to the users? 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.
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) an Azure Data Factory pipeline that uses data flows
B) a Lakeflow Spark Declarative Pipelines (SDPJ pipeline
C) an Apache Spark Structured Streaming job
D) a Databricks notebook triggered by a scheduled job
5. 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) Increase an all-purpose cluster to a larger fixed node type.
C) Enable Photon acceleration for a job compute cluster.
D) Disable autoscaling for a job compute cluster.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: Only visible for members | Question # 4 Answer: B | Question # 5 Answer: C |
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