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Databricks Certified Data Engineer Associate Exam Questions

If you are interested in obtaining the Databricks Certified Data Engineer Associate Certification, there are several steps you can take to prepare yourself for success. One of the most effective ways is to study the latest Databricks Certified Data Engineer Associate Exam Questions from PassQuestion. By doing so, you will not only enhance your knowledge and understanding of the exam topics, but also increase your chances of passing the exam with a high score. With their Databricks Certified Data Engineer Associate Exam Questions, you can confidently approach the exam and demonstrate your proficiency as a Databricks Certified Data Engineer Associate.

Databricks Certified Data Engineer Associate Certification

The Databricks Certified Data Engineer Associate certification exam assesses an individual's ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester's ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.


Exam Details

Exam Details TypeProctored certificationTotal number of questions45Time limit90 minutesRegistration fee$200 (Databricks partners get 50% off)Question typesMultiple choiceLanguagesEnglishDelivery methodOnline proctoredPrerequisitesNone, but related training highly recommendedRecommended experience6+ months of hands-on experienceValidity period2 years

Exam Sections

Section 1: Databricks Lakehouse Platform

Section 2: Data Transformation with Apache Spark

Section 3: Data Management with Delta Lake

Section 4: Data Pipelines with Delta Live Tables

Section 5: Workloads with Workflows

Section 6: Data Access with Unity Catalog

View Online Databricks Certified Data Engineer Associate Free Questions

1. A data engineer needs to use a Delta table as part of a data pipeline, but they do not know if they have the appropriate permissions.

In which of the following locations can the data engineer review their permissions on the table?

A.Databricks Filesystem

B.Jobs

C.Dashboards

D.Repos

E.Data Explorer

Answer: E

2. A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.

Which of the following tools can the data engineer use to solve this problem?

A.Unity Catalog

B.Delta Lake

C.Databricks SQL

D.Data Explorer

E.Auto Loader

Answer: E

3. Which of the following benefits is provided by the array functions from Spark SQL?

A.An ability to work with data in a variety of types at once

B.An ability to work with data within certain partitions and windows

C.An ability to work with time-related data in specified intervals

D.An ability to work with complex, nested data ingested from JSON files

E.An ability to work with an array of tables for procedural automation

Answer: D

4. A data engineer wants to create a relational object by pulling data from two tables. The relational object does not need to be used by other data engineers in other sessions. In order to save on storage costs, the data engineer wants to avoid copying and storing physical data.

Which of the following relational objects should the data engineer create?

A.Spark SQL Table

B.View

C.Database

D.Temporary view

E.Delta Table

Answer: D

5. A data engineer needs access to a table new_table, 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 of the following approaches can be used to identify the owner of new_table?

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

B.All of these options can be used to identify the owner of the table

C.Review the Owner field in the table's page in Data Explorer

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

E.There is no way to identify the owner of the table

Answer: C

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