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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 ingest data from CSV files stored in Azure Data Lake Storage Gen2. New rows are appended frequently.
You need to implement a data ingestion solution that meets the following requirements:
- New data must be available in near-real-time (NRT).
- The data must be stored in managed Delta tables.
- The solution must minimize custom code and maintenance effort.
What should you include in the solution?

A) Auto Loader
B) scheduled Apache Spark batch jobs
C) an Azure Data Factory pipeline
D) an external table that references the CSV files

2. You need to deploy Databricks Asset Bundles to a development environment. The solution must support automated and repeatable deployments across environments. What should you use?

A) Git folders
B) the Databricks CLI
C) the Jobs UI
D) the Databricks SDK for Python

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

4. Hotspot Question
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 have an Azure Databricks workspace.
You are creating a Lakeflow Spark Declarative Pipelines (SDP) pipeline that scales automatically.
You need to configure compute for the pipeline. The solution must minimize operational costs and effort.
What should you use?

A) an all-purpose cluster that uses autoscaling
B) a single-node, all-purpose cluster
C) the existing SQL warehouse
D) a job cluster that uses autoscaling

Solutions: