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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. A data engineer notices slow query performance on a large Delta table in Azure Databricks. The table has frequent updates and deletes. Which action best improves query performance?

A) Run OPTIMIZE and ZORDER BY on frequently filtered columns
B) Convert table to Parquet format
C) Increase cluster size
D) Enable Delta caching only

2. What happens if incoming data violates Delta table schema?

A) Data is automatically cast
B) Data is appended with nulls
C) Table is overwritten
D) Data is rejected

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

4. 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 Table1.
- 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 CHECKconstraint to Table1.
C) Run WHEREclauses in downstream queries to filter out invalid records.
D) Define a pipeline expectation.

5. You have an Azure Databricks workspace named Workspace1 that uses a Git repository. The repository contains a Databricks notebook named Notebook1.
From the main branch, you create a feature branch named Branch1 and commit changes to Notebook1. Another user commits changes to Notebook1 in main.
When you attempt to merge Branch1 into main, the merge fails due to conflicts.
You need to merge Branch1 into the main branch. The solution must ensure that Notebook1 includes all the changes from both the branches.
What should you do?

A) Apply the main branch changes to Branch1 and resolve the conflicts.
B) From Workspace1, clone Branch1 as a new repository.
C) Apply the changes directly to the main branch.
D) From Workspace1, clone the main branch as a new repository.

Solutions: