← Databricks Certified Machine Learning Associate
DATABRICKS · objective · 25% of the exam
Databricks Machine Learning
Exam objectives are the official skill domains Databricks Certified Machine Learning Associate tests. Below are the official DATABRICKS docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Databricks — Enterprise AI at Scale: Serving Google Gemini on Databricks for Production Workloads | Databricks
Orchestrated by Lakeflow and monitored via AI/BI dashboards, this pipeline directly generates the revenue-critical datasets HG Insights delivers to Fortune 500 customers.
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Databricks — Dr. Jekyll and Mr. H-AI-de: Using MLflow and AI Judges to measure model alignment and safety | Databricks
Deploy judges in MLflow to automate the evaluation of frontier open-source models.- Benchmark against emerging standards like HarmBench to quantify operational risk.
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Databricks — Feature and ML Platform Powered by Databricks | Databricks
outside Databricks, managed Delta UniForm and Iceberg read-only feature tables provide robust solutions.
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Databricks — Managing Data at Exabyte Scale for AI Model Training | Databricks
the entire exploration to GPU-loading path.
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Databricks — From Training to Production: MLOps for Deep Learning on Databricks | Databricks
ship models that stay reliable long after launch.
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Databricks — Running LLaMA at Scale: Production Inference on Databricks Model Serving | Databricks
and unit‑economics tradeoffs that informed our ramp from pilot to majority traffic.
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Databricks — Scaling Custom LLMs with vLLM and Databricks Model Serving: Fast, Flexible, and Production-Ready | Databricks
packaging models, configuring vLLM runtime, and deployment! Serving LLMs on GPUs doesn’t have to be scary.