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19CS701 - Mini Project
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CI/CD plays an important role in ML applications by:
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When is a serverless architecture useful for ML?
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The “pipeline” architectural pattern in ML is best for:
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Batch processing in ML architectures is valuable when:
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ML architectures can increase observability by:
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In a modular ML pipeline, each “node” or stage typically:
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The “Model as a Service” (MaaS) paradigm encourages:
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Batch scoring architectures allow:
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Which architecture is best for real-time ML inference at scale?
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Online inference architectures are optimized for:
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