Databricks-DE-Pro Debugging and Deploying Practice Question
A data engineer needs to grant a group of users the ability to run a specific Databricks job but not modify its configuration. The job is managed by a service principal. Which permission level should be assigned to the group on the job?
⚠ Common exam trap
A common mix-up: candidates confuse job permissions with cluster permissions, or assuming that Can View also allows running.
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
✓
Can Run
Databricks job permissions include Can View, Can Run, Can Manage, and sometimes Is Owner. Can Run permits users to execute the job and view run results but prevents them from editing the job's configuration. This aligns with the requirement to allow running without modification. Can View is too restrictive, while Can Manage grants excessive privileges. Can Attach To is unrelated to job permissions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Can View
Why it's wrong here
Can View allows users to see the job's details but not run it. They can view the job's runs and configuration but cannot trigger new runs. This permission is insufficient because the group needs to run the job. It is more restrictive than necessary.
- ✓
Can Run
Why this is correct
Can Run allows users to trigger the job and view its runs but not edit its configuration. This exactly matches the requirement: the group can execute the job but cannot change its settings. It is the appropriate permission level for operators who need to run jobs without administrative privileges.
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Can Manage
Why it's wrong here
Can Manage grants full control, including editing, deleting, and running the job. This exceeds the requirement because the group should not modify the job configuration. Assigning Can Manage would allow them to change settings, which is not desired.
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Can Attach To
Why it's wrong here
Can Attach To is a cluster permission that allows users to attach notebooks or jobs to a cluster. It does not apply to job permissions. This option is irrelevant to the scenario because the question is about job-level permissions, not cluster access.
About these practice questions
This Databricks-DE-Pro question is part of Courseiva's 267-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-DE-Pro 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-DE-Pro exam.