Databricks Data Engineering Associate-
KH
Question 1
Which of the following describes a benefit of a data Lakehouse that is unavailable in a
traditional data warehouse?
A. A data Lakehouse provides a relational system of data management.
B. A data Lakehouse captures snapshots of data for version control purposes.
C. A data Lakehouse couples storage and compute for complete control.
D. A data Lakehouse utilizes proprietary storage formats for data.
E. A data Lakehouse enables both batch and streaming analytics. – answer E. A data
Lakehouse enables both batch and streaming analytics.
Question 2
Which of the following locations hosts the driver and worker nodes of a Databricks-
managed cluster?
A. Data plane
B. Control plane
C. Databricks Filesystem
D. JDBC data source
E. Databricks web application - answerA. Data plane
Question 3
A data architect is designing a data model that works for both video-based machine
learning workloads and highly audited batch ETL/ELT workloads.
Which of the following describes how using a data lakehouse can help the data architect
meet the needs of both workloads?
A. A data lakehouse requires very little data modeling.
B. A data lakehouse combines compute and storage for simple governance.
C. A data lakehouse provides autoscaling for compute clusters.
D. A data lakehouse stores uns - answerD. A data lakehouse stores unstructured data
and is ACID-compliant.
Question 4
Which of the following describes a scenario in which a data engineer will want to use a
Job cluster instead of an all-purpose cluster?
A. An ad-hoc analytics report needs to be developed while minimizing compute costs.
B. A data team needs to collaborate on the development of a machine learning model.
C. An automated workflow needs to be run every 30 minutes.
D. A Databricks SQL query needs to be scheduled for upward reporting.
E. A data engineer needs to manually investigate a produc - answerC. An automated
workflow needs to be run every 30 minutes.
, Question 5
A data engineer has created a Delta table as part of a data pipeline. Downstream data
analysts now need SELECT permission on the Delta table.
Assuming the data engineer is the Delta table owner, which part of the Databricks
Lakehouse Platform can the data engineer use to grant the data analysts the
appropriate access?
A. Repos
B. Jobs
C. Data Explorer
D. Databricks Filesystem
E. Dashboards - answerC. Data Explorer
Question 6
Two junior data engineers are authoring separate parts of a single data pipeline
notebook. They are working on separate Git branches so they can pair program on the
same notebook simultaneously. A senior data engineer experienced in Databricks
suggests there is a better alternative for this type of collaboration.
Which of the following supports the senior data engineer's claim?
A. Databricks Notebooks support automatic change-tracking and versioning
B. Databricks Notebooks support rea - answerB. Databricks Notebooks support real-
time coauthoring on a single notebook
Question 7
Which of the following describes how Databricks Repos can help facilitate CI/CD
workflows on the Databricks Lakehouse Platform?
A. Databricks Repos can facilitate the pull request, review, and approval process before
merging branches
B. Databricks Repos can merge changes from a secondary Git branch into a main Git
branch
C. Databricks Repos can be used to design, develop, and trigger Git automation
pipelines
D. Databricks Repos can store the single-source-of-truth Git repository
E. Da - answerE. Databricks Repos can commit or push code changes to trigger a
CI/CD process
Question 8
Which of the following statements describes Delta Lake?
A. Delta Lake is an open source analytics engine used for big data workloads.
B. Delta Lake is an open format storage layer that delivers reliability, security, and
performance.
C. Delta Lake is an open source platform to help manage the complete machine
learning lifecycle.
D. Delta Lake is an open source data storage format for distributed data.
E. Delta Lake is an open format storage layer that processes data. - answerB. Delta
Lake is an open format storage layer that delivers reliability, security, and performance.
KH
Question 1
Which of the following describes a benefit of a data Lakehouse that is unavailable in a
traditional data warehouse?
A. A data Lakehouse provides a relational system of data management.
B. A data Lakehouse captures snapshots of data for version control purposes.
C. A data Lakehouse couples storage and compute for complete control.
D. A data Lakehouse utilizes proprietary storage formats for data.
E. A data Lakehouse enables both batch and streaming analytics. – answer E. A data
Lakehouse enables both batch and streaming analytics.
Question 2
Which of the following locations hosts the driver and worker nodes of a Databricks-
managed cluster?
A. Data plane
B. Control plane
C. Databricks Filesystem
D. JDBC data source
E. Databricks web application - answerA. Data plane
Question 3
A data architect is designing a data model that works for both video-based machine
learning workloads and highly audited batch ETL/ELT workloads.
Which of the following describes how using a data lakehouse can help the data architect
meet the needs of both workloads?
A. A data lakehouse requires very little data modeling.
B. A data lakehouse combines compute and storage for simple governance.
C. A data lakehouse provides autoscaling for compute clusters.
D. A data lakehouse stores uns - answerD. A data lakehouse stores unstructured data
and is ACID-compliant.
Question 4
Which of the following describes a scenario in which a data engineer will want to use a
Job cluster instead of an all-purpose cluster?
A. An ad-hoc analytics report needs to be developed while minimizing compute costs.
B. A data team needs to collaborate on the development of a machine learning model.
C. An automated workflow needs to be run every 30 minutes.
D. A Databricks SQL query needs to be scheduled for upward reporting.
E. A data engineer needs to manually investigate a produc - answerC. An automated
workflow needs to be run every 30 minutes.
, Question 5
A data engineer has created a Delta table as part of a data pipeline. Downstream data
analysts now need SELECT permission on the Delta table.
Assuming the data engineer is the Delta table owner, which part of the Databricks
Lakehouse Platform can the data engineer use to grant the data analysts the
appropriate access?
A. Repos
B. Jobs
C. Data Explorer
D. Databricks Filesystem
E. Dashboards - answerC. Data Explorer
Question 6
Two junior data engineers are authoring separate parts of a single data pipeline
notebook. They are working on separate Git branches so they can pair program on the
same notebook simultaneously. A senior data engineer experienced in Databricks
suggests there is a better alternative for this type of collaboration.
Which of the following supports the senior data engineer's claim?
A. Databricks Notebooks support automatic change-tracking and versioning
B. Databricks Notebooks support rea - answerB. Databricks Notebooks support real-
time coauthoring on a single notebook
Question 7
Which of the following describes how Databricks Repos can help facilitate CI/CD
workflows on the Databricks Lakehouse Platform?
A. Databricks Repos can facilitate the pull request, review, and approval process before
merging branches
B. Databricks Repos can merge changes from a secondary Git branch into a main Git
branch
C. Databricks Repos can be used to design, develop, and trigger Git automation
pipelines
D. Databricks Repos can store the single-source-of-truth Git repository
E. Da - answerE. Databricks Repos can commit or push code changes to trigger a
CI/CD process
Question 8
Which of the following statements describes Delta Lake?
A. Delta Lake is an open source analytics engine used for big data workloads.
B. Delta Lake is an open format storage layer that delivers reliability, security, and
performance.
C. Delta Lake is an open source platform to help manage the complete machine
learning lifecycle.
D. Delta Lake is an open source data storage format for distributed data.
E. Delta Lake is an open format storage layer that processes data. - answerB. Delta
Lake is an open format storage layer that delivers reliability, security, and performance.
