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Databricks Updated Databricks-Certified-Data-Engineer-Associate Exam Questions and Answers by aila

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Overview :

Exam Name: Databricks Certified Data Engineer Associate Exam
Exam Code: Databricks-Certified-Data-Engineer-Associate Dumps
Vendor: Databricks Certification: Databricks Certification
Questions: 176 Q&A's Shared By: aila
Question 28

A Python file is ready to go into production and the client wants to use the cheapest but most efficient type of cluster possible. The workload is quite small, only processing 10GBs of data with only simple joins and no complex aggregations or wide transformations.

Which cluster meets the requirement?

Options:

A.

Job cluster with Photon enabled

B.

Interactive cluster

C.

Job cluster with spot instances disabled

D.

Job cluster with spot instances enabled

Discussion
Question 29

Identify a scenario to use an external table.

A Data Engineer needs to create a parquet bronze table and wants to ensure that it gets stored in a specific path in an external location.

Which table can be created in this scenario?

Options:

A.

An external table where the location is pointing to specific path in external location.

B.

An external table where the schema has managed location pointing to specific path in external location.

C.

A managed table where the catalog has managed location pointing to specific path in external location.

D.

A managed table where the location is pointing to specific path in external location.

Discussion
Kingsley
Do anyone guide my how these dumps would be helpful for new students like me?
Haris May 12, 2026
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Lennox
Something Special that they provide a comprehensive overview of the exam content. They cover all the important topics and concepts, so you can be confident that you are well-prepared for the test.
Aiza May 16, 2026
That makes sense. What makes Cramkey Dumps different from other study materials?
Alaia
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Zofia May 28, 2026
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Amy
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Lacey May 16, 2026
Yeah, definitely. I experienced the same.
Question 30

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 30

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:

A.

Upsize the worker nodes and activate autoshuffle partitions

B.

Upsize the driver node and deactivate autoshuffle partitions

C.

Cache the dataset in order to boost the query performance

D.

Fix the shuffle partitions to 50 to ensure the allocation

Discussion
Question 31

A data engineer needs to conduct Exploratory Analysis on data residing in a database that is within the company ' s custom-defined network in the cloud. The data engineer is using SQL for this task.

Which type of SQL Warehouse will enable the data engineer to process large numbers of queries quickly and cost-effectively?

Options:

A.

Serverless compute for notebooks

B.

Serverless SQL Warehouse

C.

Classic SQL Warehouse

D.

Pro SQL Warehouse

Discussion
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