~/databricks-data-engineer-professional · Debugging and Deploying ▊
← Databricks Certified Data Engineer Professional
DATABRICKS · objective · 10% of the exam
Debugging and Deploying — Databricks Certified Data Engineer Professional
The official DATABRICKS documentation our Debugging and Deploying practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Databricks — Deploying and Monitoring Agents on Databricks | Databricks
You will start by learning how to deploy agents in batch mode using AI Functions and integrate them into data pipelines.
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Databricks — AI_DIAGNOSE: Automating Spark Job Debugging With LLM Agents | Databricks
retrieves distributed logs, and analyzes job failures
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Databricks — Closing the Agent Quality Loop Through Observability in Production | Databricks
feed production traffic into larger, more targeted evaluation sets as a CI gate, and ship repeatably with Declarative Automation Bundles
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Databricks — Ship It! Code, Deploy, and Scale Your First Databricks App | Databricks
connecting to data, configuring secure authentication, and mastering production workflows to ensure your app is scalable and governed