Online Access Free Databricks-Certified-Professional-Data-Engineer Practice Test

A data engineering team has a time-consuming data ingestion job with three data sources. Each notebook takes about one hour to load new data. One day, the job fails because a notebook update introduced a new required configuration parameter. The team must quickly fix the issue and load the latest data from the failing source.
Which action should the team take?

• A.Repair the run with the new parameter.
• B.Share the analysis with the failing notebook owner so that they can fix it quickly.
• C.Update the task by adding the missing task parameter, and manually run the job.
• D.Repair the run with the new parameter, and update the task by adding the missing task parameter.

A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. A data engineer has been asked to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing.
Which role must be in place to perform these actions across the metastore?

• A.Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.
• B.Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.
• C.Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.
• D.Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.

Which of the following technologies can be used to identify key areas of text when parsing Spark Driver log4j output?

• A.Regex
• B.pyspsark.ml.feature
• C.Julia
• D.Scala Datasets
• E.C++

A Data engineer wants to run unit's tests using common Python testing frameworks on python functions defined across several Databricks notebooks currently used in production.
How can the data engineer run unit tests against function that work with data in production?

• A.Run unit tests against non-production data that closely mirrors production
• B.Define units test and functions within the same notebook
• C.Define and import unit test functions from a separate Databricks notebook
• D.Define and unit test functions using Files in Repos

A data engineer is implementing Unity Catalog governance for a multi-team environment. Data scientists need interactive clusters for basic data exploration tasks, while automated ETL jobs require dedicated processing.
How should the data engineer configure cluster isolation policies to enforce least privilege and ensure Unity Catalog compliance?

• A.Create compute policies with STANDARD access mode for interactive workloads and DEDICATED access mode for automated jobs.
• B.Use only DEDICATED access mode for both interactive workloads and automated jobs to maximize security isolation.
• C.Configure all clusters with NO ISOLATION_SHARED access mode since Unity Catalog works with any cluster configuration.
• D.Allow all users to create any cluster type and rely on manual configuration to enable Unity Catalog access modes.