Databricks Databricks-Certified-Data-Engineer-Associate 認定試験の出題範囲：

参照：https://www.databricks.com/learn/certification/data-engineer-associate

Databricks Databricks-Certified-Data-Engineer-Associate 試験概要:

Databricks Certified Data Engineer Associate 認定 Databricks-Certified-Data-Engineer-Associate 試験問題：

問題 #1
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?

A. Databricks Repos is wholly housed within the Databricks Data Intelligence Platform
B. Databricks Repos provides the ability to comment on specific changes
C. Databricks Repos supports the use of multiple branches
D. Databricks Repos automatically saves development progress
E. Databricks Repos allows users to revert to previous versions of a notebook

問題 #2
A data engineer is reviewing the documentation on audit logs in Databricks for compliance purposes and needs to understand the format in which audit logs output events. How are events formatted in Databricks audit logs?

A. In Databricks, audit logs output events in a CSV format.
B. In Databricks, audit logs output events in an XML format.
C. In Databricks, audit logs output events in a JSON format.
D. In Databricks, audit logs output events in a plain text format.

問題 #3
A data engineer is migrating pipeline tasks to reduce operational toil. The workspace used Unity Catalog and is in a region that supports serverless. The engineer wants Databricks to auto-select instance types, manage scaling, apply Photon, and handle runtime upgrades automatically for job runs.
How should the data engineer meet this requirement while adhering to Databricks constraints?

A. Run the job on a serverless compute for workflows configuration, ensuring Unity Catalog is enabled and regional support is available.
B. Use a Pro SQL warehouse and schedule Python notebook tasks to execute as pipeline steps.
C. Create a job with a single-task job cluster and manually set instance families and min/max workers.
D. Use an all-purpose cluster with cluster policies to enforce standard sizes and enable autoscaling.

問題 #4
A data engineer wants to run SQL queries directly on data stored in Delta Lake using a serverless compute environment designed for analytics workloads. Which Databricks component provides this capability?

A. MLflow
B. Spark Driver
C. DBFS
D. Databricks SQL Warehouse

問題 #5
A data engineer needs Task C to run ONLY if Task A succeeds AND Task B fails. Which dependency configuration implements this conditional logic?

A. Task C uses two dependency chains: Task A with All succeeded, Task B with at least one failed.
B. Task C depends on Task A (All done) and Task B (All done) with a condition widget.
C. Create a Python task that checks dbutils.jobs.taskValues from Tasks A and B before running Task C.
D. Task C depends on Task A (Success) with Task B listed as a negative dependency.

解説：