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Databricks Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Topic 2: Ensuring Data Security and Compliance | - Compliance
|
| Topic 3: Data Modelling | - Scalable Data Models
|
| Topic 4: Cost & Performance Optimisation | - Cost Optimization
|
| Topic 5: Data Transformation, Cleansing, and Quality | - Data Quality
|
| Topic 6: Data Governance | - Metadata and Discoverability
|
| Topic 7: Data Sharing and Federation | - Delta Sharing
|
| Topic 8: Monitoring and Alerting | - Alerting
|
| Topic 9: Debugging and Deploying | - Deploying CI/CD
|
| Topic 10: Developing Code for Data Processing using Python and SQL | - Using Python and Tools for Development
|
Databricks Certified Data Engineer Professional Sample Questions:
A data engineering team is setting up deployment automation. To deploy workspace assets remotely using the Databricks CLI command, they must configure it with proper authentication.
Which authentication approach will provide the highest level of security?
- A. Use a service principal and its Personal Access Token.
- B. Use a service principal with OAuth token federation.
- C. Use a service principal ID and its OAuth client secret.
- D. Use a shared user account and its OAuth client secret.
Correct Answer: B 🗳️
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The Databricks CLI is use to trigger a run of an existing job by passing the job_id parameter. The response that the job run request has been submitted successfully includes a filed run_id.
Which statement describes what the number alongside this field represents?
- A. The number of times the job definition has been run in the workspace.
- B. The globally unique ID of the newly triggered run.
- C. The total number of jobs that have been run in the workspace.
- D. The job_id is returned in this field.
- E. The job_id and number of times the job has been are concatenated and returned.
Correct Answer: B 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
Which statement describes Delta Lake optimized writes?
- A. A shuffle occurs prior to writing to try to group data together resulting in fewer files instead of each executor writing multiple files based on directory partitions.
- B. Before a job cluster terminates, OPTIMIZE is executed on all tables modified during the most recent job.
- C. An asynchronous job runs after the write completes to detect if files could be further compacted; yes, an OPTIMIZE job is executed toward a default of 1 GB.
- D. Optimized writes logical partitions instead of directory partitions partition boundaries are only represented in metadata fewer small files are written.
Correct Answer: A 🗳️
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A senior data engineer is planning large-scale data workflows. The current task is to identify the considerations that form a foundation for creating scalable data models that are essential for effective management of large datasets. The data engineering team has identified the core capabilities as part of a scalable data model to build a modern data platform and provided their reasoning for considering Delta Lake for review. The senior data engineer is responsible for identifying the recommendations that are not valid. Which key features can be ignored while evaluating Delta Lake?
- A. Delta Lake optimizes metadata handling, efficiently managing billions of files and facilitating scalability to petabyte-scale datasets.
- B. Delta Lake works with various data formats (e.g., Parquet, JSON, CSV) and integrates well with Spark and Databricks tools.
- C. Delta Lake's capability to process data in both batch and streaming modes seamlessly, providing flexibility in data ingestion and processing.
- D. Delta Lake provides limited support for monitoring and troubleshooting data pipelines, so relevant partner tools have to be identified and set up for enhanced operational efficiency.
Correct Answer: D 🗳️
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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. Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.
- B. Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.
- C. Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.
- D. Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.
Correct Answer: B 🗳️
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