Databricks passleader pdf Databricks-certified-data-engineer-associate Study Guide by Cruze q32 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:	153 Q&A's	Shared By:	cruze

Question 8

A data engineer is developing an ETL process based on Spark SQL. The execution fails. The data engineer checks the Spark Ul and can see the ERRORS as follows:

Questions 8

Which two corrective actions should the data engineer perform to resolve this issue?

Choose 2 answers - (Q) Narrow the filters in order to collect less data in the query

Options:

Upsize the worker nodes and activate autoshuffle partitions

Upsize the driver node and deactivate autoshuffle partitions

Cache the dataset in order to boost the query performance

Fix the shuffle partitions to 50 to ensure the allocation

Discussion

Question 9

A data engineer streams customer orders into a Kafka topic (orders_topic) and is currently writing the ingestion script of a DLT pipeline. The data engineer needs to ingest the data from Kafka brokers to DLT using Databricks

What is the correct code for ingesting the data?

Questions 9

Options:

Option A

Option B

Option C

Option D

Discussion

Question 10

A data engineer needs access to a table new_uable, but they do not have the correct permissions. They can ask the table owner for permission, but they do not know who the table owner is.

Which approach can be used to identify the owner of new_table?

Options:

There is no way to identify the owner of the table

Review the Owner field in the table's page in the cloud storage solution

Review the Permissions tab in the table's page in Data Explorer

Review the Owner field in the table’s page in Data Explorer

Discussion

Question 11

A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.

Which of the following approaches could be used by the data engineering team to complete this task?

Options:

They could submit a feature request with Databricks to add this functionality.

They could wrap the queries using PySpark and use Python’s control flow system to determine when to run the final query.

They could only run the entire program on Sundays.

They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.

They could redesign the data model to separate the data used in the final query into a new table.

Discussion

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