AIF-C01 Question #66: Real Exam Question with Answer & Explanation

Question

You are tasked with building a solution to classify customer reviews as positive or negative. The solution must handle real-time inferencing. Which of the following approaches and services are appropriate? (Choose three.)

Options

• AUse AWS Lambda for real-time predictions.
• BUse Amazon Polly for text-t o-speech capabilities.
• CDeploy the model using Amazon SageMaker Hosting Services.
• DUse AWS Glue for batch processing.
• EUse Amazon SageMaker to train the model.

Explanation

For a real-time sentiment classification solution, appropriate AWS services include Amazon SageMaker for model training and hosting, and AWS Lambda for serving real-time predictions.

Common mistakes.

• B. Amazon Polly is a text-to-speech service, which is unrelated to classifying text reviews as positive or negative.
• D. AWS Glue is an extract, transform, and load (ETL) service primarily used for batch processing and data preparation, not for real-time inferencing.

Concept tested. Real-time ML inference architecture on AWS

Reference. https://aws.amazon.com/sagemaker/features/model-hosting/

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