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Monitoring and Alerting →hardMultiple Choice

Databricks-DE-Pro Monitoring and Alerting Practice Question

Exhibit

{
  "action": "allow",
  "principal": "user@example.com",
  "resource": "/alerts/12345",
  "permission": "CAN_VIEW"
}

Refer to the exhibit. A Databricks administrator wants to restrict access to a specific SQL Alert. Based on the JSON policy, which statement accurately describes the current permission model for this alert?

⚠ Common exam trap

Candidates often confuse view permissions with admin privileges, mistakenly assuming that someone with CAN_VIEW access can also modify alert configurations or manually trigger a refresh.

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

✓

The user can see the alert, but cannot trigger a manual refresh or modify the alert settings.

The exhibit displays an Access Control List (ACL) entry granting 'CAN_VIEW' permission to a specific user for a single alert resource. In Databricks, SQL Alerts are secured via the workspace-level permission model. Understanding these JSON-based policy definitions is essential for data engineers tasked with auditing governance and ensuring that sensitive monitoring data is only accessible to authorized personnel during security reviews.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    The user is allowed to modify the alert's query criteria and notification frequency.

    Why it's wrong here

    The 'CAN_VIEW' permission only grants read-only access to the alert. It does not provide the 'CAN_MANAGE' or 'CAN_EDIT' permissions required to modify the underlying SQL query, threshold logic, or notification settings. Therefore, the user cannot change the operational behavior of this specific SQL Alert configuration.

  • ✓

    The user can see the alert, but cannot trigger a manual refresh or modify the alert settings.

    Why this is correct

    The 'CAN_VIEW' permission level strictly limits the user to viewing the alert's current status and metadata. It prevents the user from performing administrative actions like refreshing the alert, editing the logic, or altering notification parameters. This ensures that unauthorized users cannot inadvertently impact the alerting infrastructure or its outputs.

  • ✗

    The user has sufficient permissions to delete the alert from the Databricks SQL workspace.

    Why it's wrong here

    Deleting an object in Databricks requires the 'CAN_MANAGE' permission level. 'CAN_VIEW' is the lowest permission tier in the access control hierarchy and does not include destructive capabilities. This policy structure is designed to enforce the principle of least privilege, preventing users from accidentally or intentionally removing critical system monitors.

  • ✗

    This JSON policy provides the user with global access to all alerts within the SQL warehouse.

    Why it's wrong here

    The JSON policy specifically targets the resource '/alerts/12345', which refers to a single, unique alert object. It does not grant broader access to other alerts, folders, or the SQL warehouse itself. Scoped access control is a fundamental security practice in Databricks to prevent unauthorized exposure of enterprise data monitoring tools.

Visual reference

Source Router + ACL permit 10.0.0.0/8 deny any Server 10.0.0.5 ✓ 192.168.1.1 ✗ dropped ACLs evaluate top-down; first match wins — implicit deny all at end

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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.