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NCA-ADS - Introductory MLOps Practices - Section 6.5

Manage artefacts.

Manage pipeline artefacts - datasets, preprocessors, models, and evaluation reports - by storing them with unique identifiers and tracing their provenance back to a specific experiment run. Recognise how MLflow artefact logging or equivalent tooling supports this lineage.

More in this domain

Monitor data science pipelines.Section 6.1
Track experiments with MLflow and Weights & Biases.Section 6.2
Manage models, including saving and loading.Section 6.3
Monitor production models for drift.Section 6.4
Benchmark workflows.Section 6.6

Back to all Introductory MLOps Practices objectives, or the NCA-ADS cert hub.

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