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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Processing | 28% | - Structured Streaming - Data Transformation - ETL Pipelines - Spark SQL |
| Data Modeling and Storage | 20% | - Storage Optimization - Data Modeling - File Formats |
| Data Quality and Governance | 12% | - Data Lineage - Governance - Data Quality |
| Monitoring and Troubleshooting | 16% | - Troubleshooting - Monitoring - Performance Optimization |
| Databricks Lakehouse Platform | 24% | - Data Management - Unity Catalog - Lakehouse Architecture - Delta Lake |
Databricks Certified Data Engineer Professional Sample Questions:
A data engineer wants to create a cluster using the Databricks CLI for a big ETL pipeline. The cluster should have five workers, one driver of type i3.xlarge, and should use the '14.3.x- scala2.12' runtime. Which command should the data engineer use?
- A. databricks compute create 14.3.x-scala2.12 --num-workers 5 --node-type-id i3.xlarge --cluster- name Data Engineer_cluster
- B. databricks clusters create 14.3.x-scala2.12 --num-workers 5 --node-type-id i3.xlarge --cluster- name DataEngineer_cluster
- C. databricks clusters add 14.3.x-scala2.12 --num-workers 5 --node-type-id i3.xlarge --cluster-name Data Engineer_cluster
- D. databricks compute add 14.3.x-scala2.12 --num-workers 5 --node-type-id i3.xlarge --cluster-name Data Engineer_cluster
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
A distributed team of data analysts share computing resources on an interactive cluster with autoscaling configured. In order to better manage costs and query throughput, the workspace administrator is hoping to evaluate whether cluster upscaling is caused by many concurrent users or resource-intensive queries.
In which location can one review the timeline for cluster resizing events?
- A. Cluster Event Log
- B. Driver's log file
- C. Workspace audit logs
- D. Executor's log file
- E. Ganglia
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. Set the configuration delta.deduplicate = true.
- B. VACUUM the Delta table after each batch completes.
- C. Perform a full outer join on a unique key and overwrite existing data.
- D. Rely on Delta Lake schema enforcement to prevent duplicate records.
- E. Perform an insert-only merge with a matching condition on a unique key.
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
A data architect is implementing Delta Sharing as part of their data governance strategy to enable secure data collaboration with external partners and internal business units. The architect must establish a permission framework that allows designated data stewards to create shares for their respective domains while maintaining security boundaries and audit compliance. Which specific permissions and roles must be assigned to enable users to create, configure, and manage Delta Shares while maintaining proper security governance and access controls?
- A. Users need the MANAGE SHARES permission on the workspace
- B. Users need to be metastore admins or have CREATE SHARE privilege for the metastore
- C. Any user with USE_CATALOG privilege can create shares
- D. Only workspace admins can create and manage shares
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
A junior data engineer has manually configured a series of jobs using the Databricks Jobs UI.
Upon reviewing their work, the engineer realizes that they are listed as the "Owner" for each job.
They attempt to transfer "Owner" privileges to the "DevOps" group, but cannot successfully accomplish this task.
Which statement explains what is preventing this privilege transfer?
- A. Only workspace administrators can grant "Owner" privileges to a group.
- B. Databricks jobs must have exactly one owner; "Owner" privileges cannot be assigned to a group.
- C. A user can only transfer job ownership to a group if they are also a member of that group.
- D. The creator of a Databricks job will always have "Owner" privileges; this configuration cannot be changed.
- E. Other than the default "admins" group, only individual users can be granted privileges on jobs.
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
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