Databricks certkiller databricks Certification Databricks-certified-data-engineer-associate Syllabus Exam Questions Answers by Ema q45 vce pdf

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Exam Name:	Databricks Certified Data Engineer Associate Exam
Exam Code:	Databricks-Certified-Data-Engineer-Associate Dumps
Vendor:	Databricks	Certification:	Databricks Certification
Questions:	230 Q&A's	Shared By:	ema

Question 40

A data engineering team needs to integrate two data sources into Databricks:

Clickstream events: 5,000 events per second from an Apache Kafka topic

Customer master data: Only changed records every four hours from a Snowflake database

The solution must process clickstream data with latency under 30 seconds and prevent reprocessing customer master data that has not changed.

Which ingestion approach meets these requirements?

Options:

Use Structured Streaming for Kafka and a Lakeflow Connect managed connector with incremental processing for Snowflake.

Use a non-incremental Snowflake connector, fetch all data every four hours, and apply MERGE operations.

Use spark.readStream() with Kafka and query Snowflake hourly using a time-based filter.

Use Structured Streaming for Kafka and a Lakeflow Connect connector with a full refresh for Snowflake.

Discussion

Question 41

A data engineer is setting up access control in Unity Catalog and needs to ensure that a group of data analysts can query tables but not modify data.

Which permission should the data engineer grant to the data analysts?

Options:

SELECT

INSERT

MODIFY

ALL PRIVILEGES

Discussion

Question 42

A data engineer is writing a script that is meant to ingest new data from cloud storage. In the event of the Schema change, the ingestion should fail. It should fail until the changes downstream source can be found and verified as intended changes.

Which command will meet the requirements?

Options:

addNewColumns

failOnNewColumns

rescue

none

Discussion

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Question 43

Which of the following describes the relationship between Gold tables and Silver tables?

Options:

Gold tables are more likely to contain aggregations than Silver tables.

Gold tables are more likely to contain valuable data than Silver tables.

Gold tables are more likely to contain a less refined view of data than Silver tables.

Gold tables are more likely to contain more data than Silver tables.

Gold tables are more likely to contain truthful data than Silver tables.