Exams / AIF-C01 / AWS managed AI services / Question 2
AIF-C01 practice question: AWS managed AI services (2 of 2)
Fundamentals of AI and ML A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
A data science team wants to build, train and deploy its own ML model on its own data, with fully managed infrastructure, notebooks and tools for every step of the ML workflow. Which AWS service is designed for this?
Choose one answer.
- AA. Amazon Polly
- BB. Amazon SageMaker AI
- CC. Amazon Translate
- DD. Kiro
Show the answer and explanation
Answer: B
- A. Wrong: Polly is a ready-made service that turns text into speech. It does not provide tools for building custom models.
- B. Right: Correct. SageMaker AI lets teams build, train and deploy ML models for any use case with fully managed infrastructure and tools.
- C. Wrong: Translate is a ready-made translation service. The team cannot use it to train its own model for other tasks.
- D. Wrong: Kiro is an agentic coding service that helps developers write software. It is not an ML training and hosting platform.
Explanation
Amazon SageMaker AI covers the whole ML lifecycle for teams that build their own models: data preparation, training, tuning, deployment and monitoring. Managed AI services such as Polly and Translate are pre-trained and need no ML expertise, but they solve one fixed task each.
Study
Keep practising
Answer questions with a score at the end, or practise just this topic with the explanation after each one. No sign-up needed.