Databricks-DA-Assoc Securing Data Practice Question
Which audit log category is most useful for identifying unauthorized attempts to access sensitive tables?
⚠ Common exam trap
Test-takers often choose generic cluster or workspace logs instead of identifying Unity Catalog audit logs, which specifically track data access and permission denials.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Unity Catalog audit logs.
The 'Unity Catalog' audit log category records all actions performed within the metastore, including access attempts. By monitoring this log, security analysts can identify unauthorized 'SELECT' or 'DESCRIBE' attempts that failed due to permission denials. This is critical for detecting potential internal threats or misconfigured access policies that could lead to unauthorized data exposure.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cluster-level Spark logs.
Why it's wrong here
Cluster-level Spark logs contain technical execution details and performance metrics, but they do not provide a centralized audit trail of data access requests. They are meant for debugging performance issues or code errors, not for security governance or monitoring user compliance with corporate data access policies.
- ✓
Unity Catalog audit logs.
Why this is correct
Unity Catalog audit logs provide a comprehensive record of all metadata and data access events. These logs capture who requested data, which table they accessed, and whether the request was granted or denied. This makes them the primary source for security investigations and auditing of data access activities within the workspace.
- ✗
Job run output logs.
Why it's wrong here
Job logs capture the stdout and stderr of individual tasks. They are useful for troubleshooting job failures but do not capture the governance events related to data access. They would not reveal if an unauthorized user attempted to access a sensitive table, as that event happens at the metastore layer, not the task.
- ✗
Workspace-level login logs.
Why it's wrong here
Login logs only record information about user authentication, such as the timestamp and IP address of a login attempt. They do not show what the user did once they were inside the platform. These logs are useful for identifying credential compromise but cannot show access patterns regarding specific sensitive tables.
About these practice questions
This Databricks-DA-Assoc question is part of Courseiva's 291-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DA-Assoc exam.