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