A team wants to train a custom ML model on their own structured data with full control over algorithms and infrastructure. Which service fits — and which is the wrong choice?
A.Amazon SageMaker
Correct. Custom model training = SageMaker.
B.Amazon Bedrock
Bedrock hosts pretrained foundation models — not a general ML training platform.
C.Amazon Comprehend
Comprehend is a pretrained NLP service — no custom training on your data.
D.Amazon Rekognition
Rekognition is a pretrained vision service.
Why this answer
SageMaker is the full ML platform: build, train, tune, and deploy custom models. Bedrock provides managed access to foundation models for generative AI — you prompt/fine-tune them, you don't train custom algorithms on tabular data.
Correct answer: A · Last reviewed 2026-10-26
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