Exam Name: Databricks Certified Data Engineer Professional Exam
Certification Provider: Databricks
Corresponding Certification: Databricks Certification
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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Databricks Lakehouse Platform | 24% | - Unity Catalog - Data Management - Delta Lake - Lakehouse Architecture |
| Data Processing | 28% | - Data Transformation - ETL Pipelines - Structured Streaming - Spark SQL |
| Data Modeling and Storage | 20% | - Data Modeling - Storage Optimization - File Formats |
| Monitoring and Troubleshooting | 16% | - Troubleshooting - Performance Optimization - Monitoring |
| Data Quality and Governance | 12% | - Data Quality - Data Lineage - Governance |
Databricks Certified Data Engineer Professional Sample Questions:
A healthcare analytics team is implementing a dimensional model in Delta Lake for patient care analysis. They have a date dimension table and are evaluating design options to ensure it supports a wide range of time-based analyses. Which design approach for the date dimension will support efficient time-based querying and aggregation?
- A. Store the date as string in ISO format (YYYY-MM-DD) for readability.
- B. Pre-calculate attributes like fiscal_period, quarter, month_name, day_of_week, and holiday.
- C. Store only the date value and calculate all time attributes in queries.
- D. Create separate dimension tables for different calendar systems (fiscal, academic, etc.)
Correct Answer: B 🗳️
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A data engineer is configuring a pipeline that will potentially see late-arriving, duplicate records.
In addition to de-duplicating records within the batch, which of the following approaches allows the data engineer to deduplicate data against previously processed records as it is inserted into a Delta table?
- A. Perform an insert-only merge with a matching condition on a unique key.
- B. Rely on Delta Lake schema enforcement to prevent duplicate records.
- C. VACUUM the Delta table after each batch completes.
- D. Set the configuration delta.deduplicate = true.
- E. Perform a full outer join on a unique key and overwrite existing data.
Correct Answer: A 🗳️
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A data engineer has configured their Databricks Asset Bundle with multiple targets in databricks.yml and deployed it to the production workspace. Now, to validate the deployment, they need to invoke a job named my_project_job specifically within the prod target context.
Assuming the job is already deployed, they need to trigger its execution while ensuring the target- specific configuration is respected. Which command will trigger the job execution?
- A. databricks execute my_project_job -e prod
- B. databricks job run my_project_job --env prod
- C. databricks bundle run my_project_job -t prod
- D. databricks run my_project_job -t prod
Correct Answer: C 🗳️
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Which statement describes a key benefit of an end-to-end test?
- A. It provides testing coverage for all code paths and branches.
- B. It pinpoint errors in the building blocks of your application.
- C. It makes it easier to automate your test suite
- D. It closely simulates real world usage of your application.
Correct Answer: D 🗳️
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Which statement regarding spark configuration on the Databricks platform is true?
- A. Spark configuration set within an notebook will affect all SparkSession attached to the same interactive cluster
- B. Spark configuration properties can only be set for an interactive cluster by creating a global init script.
- C. Spark configuration properties set for an interactive cluster with the Clusters UI will impact all notebooks attached to that cluster.
- D. The Databricks REST API can be used to modify the Spark configuration properties for an interactive cluster without interrupting jobs.
- E. When the same spar configuration property is set for an interactive to the same interactive cluster.
Correct Answer: C 🗳️
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