Question 68 of 68
Single answerCertylQ An ML engineer needs to use AWS services to identify and extract meaningful unique keywords from documents. Which solution will meet these requirements with the LEAST operational overhead?
AUse the Natural Language Toolkit (NLTK) library on Amazon EC2 instances for text pre-processing. Use the Latent Dirichlet Allocation (LDA) algorithm to identify and extract relevant keywords.
BUse Amazon SageMaker and the BlazingText algorithm.Apply custom pre-processing steps for stemming and removal of stop words. Calculate term frequency-inverse document frequency (TF-IDF) scores to identify and extract relevant keywords.
CStore the documents in an Amazon S3 bucket. Create AWS Lambda functions to process the documents and Ai o sn s pe we as som dos jo o pe s sds uo uni o and extract relevant keywords.
✓DUse Amazon Comprehend custom entity recognition and key phrase extraction to identify and extract relevant keywords.
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Correct Answer: D
Use Amazon Comprehend custom entity recognition and key phrase extraction to identify and extract relevant keywords.
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Explanation
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