AWS AWS Machine Learning and AI Services 2 — Questions and Answers
Question 1: What is Amazon Personalize primarily used for?
- Creating personalized product and content recommendations (Correct answer)
- Personalizing IAM policies for individual users
- Customizing EC2 instance configurations per workload
- Generating personalized security compliance reports
Correct answer: Creating personalized product and content recommendations
Amazon Personalize is a fully managed ML service that enables developers to build applications with the same real-time personalized recommendation technology used by Amazon.com.
Question 2: Which AWS service uses machine learning to identify potentially fraudulent activities?
- Amazon Rekognition
- Amazon Fraud Detector (Correct answer)
- Amazon GuardDuty
- Amazon Inspector
Correct answer: Amazon Fraud Detector
Amazon Fraud Detector is a fully managed service that uses ML and Amazon's fraud detection expertise to identify potentially fraudulent activities such as online payment fraud.
Question 3: What is Amazon Textract used for?
- Translating scanned documents between languages
- Automatically extracting text and data from scanned documents (Correct answer)
- Generating synthetic text data for ML training
- Classifying text documents into predefined categories
Correct answer: Automatically extracting text and data from scanned documents
Amazon Textract automatically extracts text, handwriting, and structured data such as forms and tables from scanned documents and images using ML.
Question 4: Which AWS service provides neural machine translation of text between languages?
- Amazon Comprehend
- Amazon Polly
- Amazon Translate (Correct answer)
- Amazon Lex
Correct answer: Amazon Translate
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation between many supported languages.
Question 5: What is AWS DeepRacer primarily designed for?
- Deploying deep learning models to edge IoT devices
- Learning reinforcement learning concepts through an autonomous racing car (Correct answer)
- Accelerating datasets through a deep learning pipeline
- Providing GPU-based acceleration for neural network training
Correct answer: Learning reinforcement learning concepts through an autonomous racing car
AWS DeepRacer is a fully autonomous 1/18th scale race car designed to help developers learn reinforcement learning by training and racing models on a virtual or physical track.
Question 6: What is Amazon Kendra used for?
- Searching and indexing ML training datasets stored in S3
- Providing intelligent enterprise search powered by machine learning (Correct answer)
- Monitoring ML model performance in production environments
- Labeling and annotating training data for ML projects
Correct answer: Providing intelligent enterprise search powered by machine learning
Amazon Kendra is an intelligent search service powered by ML that enables organizations to search across various content repositories and receive highly accurate answers.
Question 7: Which Amazon SageMaker feature helps build highly accurate training datasets by supporting data labeling workflows?
- Amazon SageMaker Ground Truth (Correct answer)
- Amazon SageMaker Studio
- Amazon SageMaker Autopilot
- Amazon SageMaker Clarify
Correct answer: Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth helps build highly accurate training datasets by providing labeling workflows supported by human annotators or automated labeling.
AWS AWS Machine Learning and AI Services 2
What is Amazon Personalize primarily used for?