Courseiva
Monitoring and Alerting →mediumMultiple Choice

Databricks-DE-Pro Monitoring and Alerting Practice Question

Which action allows a Data Engineer to receive a Slack notification when a Delta Live Tables pipeline finishes successfully?

⚠ Common exam trap

Candidates mistakenly look for external workflow schedulers or custom Python scripts to trigger notifications, overlooking built-in notification configurations.

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 the 'Notifications' setting in the DLT pipeline configuration.

Databricks supports native notification channels that can be configured for pipelines. By adding a webhook for a specific Slack channel to the pipeline settings, engineers can receive real-time updates on pipeline lifecycle events, including completion. This integration is vital for workflow orchestration, allowing teams to trigger subsequent processes or notify stakeholders immediately without manual intervention, thereby streamlining the overall data platform efficiency.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Configure a SQL Alert to watch the system metadata tables.

    Why it's wrong here

    SQL alerts are designed to monitor query result thresholds, not pipeline state changes. Monitoring system metadata for pipeline completions via SQL alerts is an inefficient and unreliable way to manage workflow orchestration or receive real-time notifications about job statuses.

  • ✓

    Use the 'Notifications' setting in the DLT pipeline configuration.

    Why this is correct

    DLT pipelines include a dedicated notifications section in the settings. By configuring a destination—such as a webhook URL—engineers can receive automated notifications for pipeline events, including successful completions or failures, ensuring seamless integration with communication tools like Slack or Microsoft Teams.

  • ✗

    Create a Python script that polls the Jobs API every minute.

    Why it's wrong here

    Polling the Jobs API is a suboptimal, resource-intensive practice that introduces unnecessary latency and maintenance overhead. Native integration features provided by Databricks are designed to handle event-driven notifications more effectively and reliably than custom-built polling scripts.

  • ✗

    Add a post-pipeline task that sends an email to the Slack email gateway.

    Why it's wrong here

    While technically possible, using a gateway is fragile and bypasses the built-in, native notification mechanisms. It adds unnecessary complexity to the pipeline design and increases the likelihood of failure if the email gateway configuration or routing rules change.

About these practice questions

Courseiva writes every Databricks-DE-Pro question from scratch — 267 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.