Databricks-DA-Assoc Understanding the Databricks Platform Practice Question
When sharing an analysis with stakeholders, what is the best practice for ensuring they can view the results without needing access to the underlying raw data?
⚠ Common exam trap
Candidates often suggest granting read access to raw data or exporting CSVs, failing to realize that Databricks Dashboards allow sharing insights securely without exposing the underlying storage layer.
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
✓
Use Databricks Dashboards to share visual insights while keeping data access restricted.
To share results without exposing raw data, analysts should use Databricks Dashboards or materialized views. These tools allow for the creation of curated visualizations that present calculated results while keeping the raw data access restricted. This adheres to security best practices, ensuring that stakeholders see only the insights they need, while the underlying tables remain governed by strict Unity Catalog access policies that protect sensitive information from unauthorized 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.
- ✗
Grant the stakeholders 'Can Manage' permissions on the notebook.
Why it's wrong here
Granting 'Can Manage' permissions gives stakeholders full control over the notebook, including the ability to run arbitrary code and access raw data. This is a severe security violation, as it bypasses data access controls and exposes sensitive data to individuals who likely do not require such extensive access.
- ✗
Export the dashboard as a static PDF document.
Why it's wrong here
While this is a safe way to share static results, it loses the interactive capabilities of the Databricks dashboard. It is not the best practice for a dynamic platform like Databricks, where stakeholders often need to filter or drill down into data, which static PDFs fail to support effectively for modern workflows.
- ✓
Use Databricks Dashboards to share visual insights while keeping data access restricted.
Why this is correct
Databricks Dashboards provide a controlled interface for stakeholders to consume insights. By sharing the dashboard, the analyst enables access to the visualizations while the underlying data security is managed by Unity Catalog. This ensures that users see only what they are authorized to see, maintaining the integrity of data governance policies.
- ✗
Upload the underlying data files to a public cloud storage bucket.
Why it's wrong here
Uploading data to public buckets is a massive security risk and a direct violation of data governance principles. It exposes raw data to the internet and bypasses all Databricks security, logging, and audit controls. This approach should never be used for sharing analytical results, as it loses all platform-level protections.
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.