← Databricks Certified Machine Learning Associate
DATABRICKS · objective · 25% of the exam
Model Deployment
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 — Build and Deploy Databricks Projects Using Automation Bundles and Genie ZeroOps | Databricks
DABs let teams declare jobs, pipelines, tests, environments, and dependencies as code. That representation enables Git workflows, modularity, branching, repeatable multi-environment deployments
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Databricks — Running LLaMA at Scale: Production Inference on Databricks Model Serving | Databricks
We’ll cover validation checks—A/B tests, golden sets—plus the cost model we used to compare against our internal vLLM-based stack, including levers like dynamic batching, autoscaling
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Databricks — High-Throughput, Low-Latency: The Databricks Playbook for Production Model Serving | Databricks
learn how to design your endpoints for bursty and always-on traffic, and leave with practical guidance for running mission-critical ML and LLM workloads on Databricks
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Databricks — Unlocking Video Data at Scale: VLM Batch Inference with Ray on Databricks | Databricks
(1) video ingestion into Unity Catalog Volumes, (2) VLM registration with MLflow for reproducibility, and (3) distributed batch inference using Ray and VLLM with Qwen2.5-VL-32B