Quiz 2

BSDA5014

10 Internal Entities Declared
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218 - MLOps Lifecycle & CRISP-ML Framework
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219 - Experiment Tracking with MLflow and W&B
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220 - Data & Model Versioning with DVC and Git-LFS
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221 - Feature Stores- Feast, Feature Engineering, and Online-Offline Serving
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222 - Containers & Docker- Dockerfiles, Images, and Model Containerization
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223 - Orchestration- Kubernetes & Kubeflow — Scaling ML Pipelines
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224 - CI-CD for ML- GitHub Actions, Jenkins, and Continuous Training
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225 - Model Serving- APIs, Containers, and Inference Optimization
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226 - Model Monitoring- Data Drift, Concept Drift, and Observability
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227 - A-B Testing & Shadow Deployment- Canary Releases and Rollout Strategies
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Table of Contents
System Normal // Awaiting Context

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Open library →Launch Assessment Engine