Databricks Incremental Data Processing Quiz

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3. What is a key limitation of batch processing compared to incremental processing in Databricks?

Higher latency and resource usage

Lower data consistency

Incompatible with Delta Lake

Requires manual schema management

4. How do you enable Change Data Feed on an existing Delta table in Databricks?

ALTER TABLE SET TBLPROPERTIES

CREATE CHANGE FEED

ENABLE CDC

MERGE INTO with CDC flag

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6. What does WHEN MATCHED DO UPDATE accomplish in a MERGE operation?

Inserts new rows from source

Updates target rows matching source condition

Deletes matching rows

Creates a backup table

7. Which optimization technique reduces the number of files scanned during incremental queries?

Clustering

Z-ordering

Bloom filters

All of the above

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9. What is the primary purpose of idempotent writes in incremental pipelines?

To reduce storage costs

To ensure duplicate processing produces same result

To increase query speed

To enable data encryption

10. How does Databricks handle schema evolution in incremental data processing?

Rejects all new columns automatically

Allows merging of new columns with schema evolution enabled

Requires manual schema updates only

Converts new columns to strings

11. What is the primary advantage of using Delta Lake for incremental data processing?

ACID transactions and data reliability

Lower storage costs

Faster query execution only

Reduced network latency

12. What does the WHEN NOT MATCHED clause in a MERGE statement do?

Updates non-matching target rows

Inserts source rows not found in target

Deletes all target rows

Creates a new table

13. Which of the following is a key benefit of using Auto Loader in Databricks?

Automatically deletes old data

Detects and ingests new files incrementally

Encrypts all data at rest

Optimizes query performance only

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15. What is the default behavior of a MERGE operation if no matching record exists?

Skip the record

Insert the record

Delete the record

Raise an error

16. Which API in Databricks is commonly used for streaming incremental data?

Spark SQL API

Structured Streaming API

REST API

GraphQL API

17. In incremental processing, what is the purpose of a watermark?

To mark data quality issues

To track the latest processed timestamp

To enforce row-level security

To compress data files

18. Which Databricks feature allows you to track row-level changes in a Delta table?

Table partitioning

Change Data Feed

Schema evolution

Indexing strategy

19. What does CDC stand for in the context of data engineering?

Centralized Data Collection

Change Data Capture

Continuous Data Compression

Cluster Data Configuration

20. In Databricks, which command is used to merge incremental changes into an existing Delta table?

UPDATE TABLE

MERGE INTO

INSERT OVERWRITE

ALTER TABLE

Databricks Data Engineer Incremental Data Processing Quiz

1. In Delta Lake, the ____ file tracks all changes made to a table.

2.

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

2. In Databricks, the ____ operation combines read and write atomicity for safe concurrent access.

3. What is a key limitation of batch processing compared to incremental processing in Databricks?

4. How do you enable Change Data Feed on an existing Delta table in Databricks?

5. In incremental pipelines, a ____ ensures that only new or modified records are processed.

6. What does WHEN MATCHED DO UPDATE accomplish in a MERGE operation?

7. Which optimization technique reduces the number of files scanned during incremental queries?

8. In Databricks Structured Streaming, the ____ trigger controls how often micro-batches are processed.

9. What is the primary purpose of idempotent writes in incremental pipelines?

10. How does Databricks handle schema evolution in incremental data processing?

11. What is the primary advantage of using Delta Lake for incremental data processing?

12. What does the WHEN NOT MATCHED clause in a MERGE statement do?

13. Which of the following is a key benefit of using Auto Loader in Databricks?

14. In Databricks, partitioning by date improves incremental processing by enabling ____.

15. What is the default behavior of a MERGE operation if no matching record exists?

16. Which API in Databricks is commonly used for streaming incremental data?

17. In incremental processing, what is the purpose of a watermark?

18. Which Databricks feature allows you to track row-level changes in a Delta table?

19. What does CDC stand for in the context of data engineering?

20. In Databricks, which command is used to merge incremental changes into an existing Delta table?