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 Databricks-Certified-Data-Engineer-Associate Dumps with Practice Exam Questions Answers

Questions: 99 questions With Step-by-Step Explanation

Last Update: Dec 3, 2024

Databricks-Certified-Data-Engineer-Associate Question Includes: Single Choice Questions: 99,

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1. What is the Databricks Databricks-Certified-Data-Engineer-Associate Exam?


The Databricks Databricks-Certified-Data-Engineer-Associateatform exam assesses your ability to use the Databricks Lakehouse Platform to perform introductory data engineering tasks.

2. What topics are covered in the Databricks-Certified-Data-Engineer-Associate Exam?


The Databricks-Certified-Data-Engineer-Associateat exam covers five main areas: Databricks Lakehouse Platform (24%), ELT with Spark SQL and Python (29%), Incremental Data Processing (22%), Production Pipelines (16%), and Data Governance (9%).

3. Are there any prerequisites for taking the Databricks-Certified-Data-Engineer-Associate Exam?


There are no formal prerequisites, but it is recommended to have at least six months of hands-on experience with Databricks and related data engineering tasks.

4. How many questions are on the Databricks-Certified-Data-Engineer-Associate Exam?


The Databricks-Certified-Data-Engineer-Associateat exam consists of 45 multiple-choice questions.

5. What is the duration of the Databricks-Certified-Data-Engineer-Associate Exam?


The duration of the Databricks-Certified-Data-Engineer-Associateat exam is 90 minutes.

6. What is the difference between Databricks-Certified-Data-Engineer-Associate and Databricks-Certified-Professional-Data-Engineer Exams?


The Databricks Certified Data Engineer Associate and Databricks Certified Professional Data Engineer exams are designed to validate different levels of expertise in data engineering using the Databricks platform. Here are the key differences:

  • Databricks-Certified-Data-Engineer-Associate: The Databricks-Certified-Data-Engineer-Associate Exam assesses your ability to perform introductory data engineering tasks using the Databricks Lakehouse Platform.

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Databricks-Certified-Data-Engineer-Associate Questions and Answers

Question # 1

A data engineer has realized that the data files associated with a Delta table are incredibly small. They want to compact the small files to form larger files to improve performance.

Which of the following keywords can be used to compact the small files?

A.

REDUCE

B.

OPTIMIZE

C.

COMPACTION

D.

REPARTITION

E.

VACUUM

Question # 2

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

A.

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

B.

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

C.

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

D.

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

E.

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

Question # 3

A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE. Three datasets are defined against Delta Lake table sources using LIVE TABLE.

The table is configured to run in Development mode using the Continuous Pipeline Mode.

Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after clicking Start to update the pipeline?

A.

All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.

B.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist until the pipeline is shut down.

C.

All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.

D.

All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

E.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

Question # 4

Which of the following data lakehouse features results in improved data quality over a traditional data lake?

A.

A data lakehouse provides storage solutions for structured and unstructured data.

B.

A data lakehouse supports ACID-compliant transactions.

C.

A data lakehouse allows the use of SQL queries to examine data.

D.

A data lakehouse stores data in open formats.

E.

A data lakehouse enables machine learning and artificial Intelligence workloads.

Question # 5

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?

A.

There is no way to identify the owner of the table

B.

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

C.

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

D.

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