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Difficulty: HardAWS Machine Learning Services

A corporate recruitment platform wants to enhance its candidate screening pipeline with machine learning. The platform must perform facial verification to match a candidate's live video check-in with their uploaded passport photo, and it must also analyze the text of candidate resumes to extract key entities such as professional skills and previous employers. Which AWS machine learning services should the platform use to meet these requirements? (Select TWO.)

  1. Amazon RekognitionAnswer
  2. Amazon ComprehendAnswer
  3. C
    Amazon Lex
  4. D
    Amazon SageMaker
  5. E
    Amazon Translate

Answer

Amazon Rekognition and Amazon Comprehend are the correct services because Amazon Rekognition provides facial matching capabilities to verify identities, and Amazon Comprehend provides natural language processing to extract key entities from text documents.
Amazon Rekognition provides computer vision capabilities required to perform facial verification and matching. Amazon Comprehend provides natural language processing (NLP) capabilities to extract key entities, such as professional skills and previous employers, from text documents like resumes.

Step-by-Step Solution

1
Analyze the first requirement: performing facial verification by comparing a live video check-in against a passport photo.
Identify that this requires computer vision capabilities to analyze and compare facial features.
Amazon Rekognition is the managed AWS service designed for automated image and video analysis, including face comparison and verification.
2
Analyze the second requirement: processing textual resumes to extract key entities like skills and employers.
Identify that this requires natural language processing (NLP) to inspect unstructured text for key phrases and entities.
Amazon Comprehend is the managed AWS service designed for natural language processing, entity extraction, and sentiment analysis.
3
Evaluate the incorrect options to ensure they do not meet the core requirements.
Verify that Amazon Lex is for conversational interfaces, Amazon SageMaker is for custom ML model building/training, and Amazon Translate is for language translation, making them unsuitable for direct identity verification and text entity extraction.
Eliminating incorrect pre-built services ensures only the matching specialized services are selected.

Key Concept

Selecting appropriate AWS managed machine learning services based on specific business requirements (computer vision and natural language processing).
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Topics

AWS Machine Learning Services

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