Databricks Data Engineer Practice Test

1. What is the primary advantage of Delta Lake over traditional data lakes?

ACID transactions and data reliability

Lower storage costs

Faster query execution

Simplified user interface

2. Which Apache Spark API is most commonly used for data transformations in Databricks?

RDD API

DataFrame API

SQL API

GraphX API

3. In Databricks, what does DBFS stand for?

Database File System

Distributed Block File System

Databricks File System

Data Backup File Storage

4. True or False: Delta Lake tables support schema evolution by default.

True

False

5. Which command is used to optimize a Delta Lake table for better query performance?

OPTIMIZE

COMPACT

VACUUM

REFRESH

6. What is the purpose of the VACUUM command in Delta Lake?

Remove old data files and free up storage

Rebuild table indexes

Merge multiple tables

Reset table statistics

7. In Databricks SQL, which clause is used to partition data during table creation?

GROUP BY

PARTITION BY

DISTRIBUTE BY

CLUSTER BY

8. True or False: External tables in Databricks store metadata in the metastore but data resides outside.

True

False

9. What is the primary purpose of Databricks Workflows?

Schedule and orchestrate multi-task data pipelines

Create interactive notebooks

Manage user permissions

Monitor cluster performance

10. Which Databricks feature enables real-time data processing from streaming sources?

Structured Streaming

Delta Live Tables

Spark SQL

AutoML

Submit

12. True or False: Unity Catalog in Databricks provides fine-grained access control across workspaces.

True

False

13. What is the primary benefit of using Databricks SQL Warehouses?

Serverless SQL compute with auto-scaling

Lower storage requirements

Simplified notebook creation

Automatic code optimization

Submit

15. Which format does Databricks recommend for storing large datasets with transactional guarantees?

Parquet

CSV

Delta

Avro

Databricks Data Engineer Practice Test

1. What is the primary advantage of Delta Lake over traditional data lakes?

2.

What first name or nickname would you like us to use?

2. Which Apache Spark API is most commonly used for data transformations in Databricks?

3. In Databricks, what does DBFS stand for?

4. True or False: Delta Lake tables support schema evolution by default.

5. Which command is used to optimize a Delta Lake table for better query performance?

6. What is the purpose of the VACUUM command in Delta Lake?

7. In Databricks SQL, which clause is used to partition data during table creation?

8. True or False: External tables in Databricks store metadata in the metastore but data resides outside.

9. What is the primary purpose of Databricks Workflows?

10. Which Databricks feature enables real-time data processing from streaming sources?

11. In Databricks, a cluster's ____ determines the amount of computational resources available.

12. True or False: Unity Catalog in Databricks provides fine-grained access control across workspaces.

13. What is the primary benefit of using Databricks SQL Warehouses?

14. Delta Lake supports time travel queries using the ____ clause to access previous data versions.

15. Which format does Databricks recommend for storing large datasets with transactional guarantees?