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Databricks Exam Databricks-Certified-Professional-Data-Engineer Topic 6 Question 9 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Engineer exam
Question #: 9
Topic #: 6
[All Databricks-Certified-Professional-Data-Engineer Questions]

The DevOps team has configured a production workload as a collection of notebooks scheduled to run daily using the Jobs Ul. A new data engineering hire is onboarding to the team and has requested access to one of these notebooks to review the production logic.

What are the maximum notebook permissions that can be granted to the user without allowing accidental changes to production code or data?

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Suggested Answer: D

Granting a user 'Can Read' permissions on a notebook within Databricks allows them to view the notebook's content without the ability to execute or edit it. This level of permission ensures that the new team member can review the production logic for learning or auditing purposes without the risk of altering the notebook's code or affecting production data and workflows. This approach aligns with best practices for maintaining security and integrity in production environments, where strict access controls are essential to prevent unintended modifications. Reference: Databricks documentation on access control and permissions for notebooks within the workspace (https://docs.databricks.com/security/access-control/workspace-acl.html).


Contribute your Thoughts:

Hildegarde
5 months ago
Agreed. 'Can Read' lets them view without editing. 'Can Run' might also work if we consider running safe scripts only.
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Tracey
6 months ago
I'd say 'Can Read' makes sense to avoid accidental changes while still allowing review.
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Rosendo
6 months ago
There are Can Manage, Can Edit, No permissions, Can Read, and Can Run.
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Cecilia
6 months ago
So, what are the options we have here?
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Hildegarde
6 months ago
Definitely, we don't want the new hire to mess things up, even by accident.
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Rosendo
6 months ago
The question is about giving access without allowing changes to production. That's important.
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