AWS AWS Machine Learning and AI Services 1 — Questions and Answers
Question 1: What is Amazon SageMaker primarily used for?
- Building, training, and deploying machine learning models (Correct answer)
- Managing virtual private clouds and subnets
- Storing and querying large datasets in S3
- Monitoring application performance and latency
Correct answer: Building, training, and deploying machine learning models
Amazon SageMaker is a fully managed service that provides developers and data scientists with every tool needed to build, train, and deploy machine learning models quickly.
Question 2: Which AWS service provides image and video analysis using deep learning?
- Amazon Comprehend
- Amazon Rekognition (Correct answer)
- Amazon Textract
- Amazon Translate
Correct answer: Amazon Rekognition
Amazon Rekognition uses deep learning to analyze images and videos for object detection, facial analysis, text detection, and content moderation.
Question 3: What does Amazon Comprehend primarily do?
- Translates text between supported languages
- Converts spoken audio to written text
- Performs natural language processing to find insights in text (Correct answer)
- Generates synthetic training data for ML models
Correct answer: Performs natural language processing to find insights in text
Amazon Comprehend is an NLP service that uses machine learning to uncover insights and relationships in unstructured text, such as sentiment, entities, and key phrases.
Question 4: Which AWS service is used to convert spoken language into text?
- Amazon Polly
- Amazon Transcribe (Correct answer)
- Amazon Lex
- Amazon Translate
Correct answer: Amazon Transcribe
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to applications.
Question 5: What is Amazon Polly used for?
- Converting text to realistic speech (Correct answer)
- Analyzing sentiment in customer reviews
- Building product recommendation engines
- Detecting anomalies in time-series data
Correct answer: Converting text to realistic speech
Amazon Polly is a text-to-speech service that uses deep learning to synthesize natural-sounding human speech from text input.
Question 6: Which AWS service is designed to build conversational interfaces such as chatbots?
- Amazon Comprehend
- Amazon Rekognition
- Amazon Lex (Correct answer)
- Amazon Forecast
Correct answer: Amazon Lex
Amazon Lex is a service for building conversational interfaces into applications using voice and text, powered by the same deep learning technologies that power Alexa.
Question 7: What is Amazon Forecast primarily used for?
- Predicting network traffic for EC2 auto-scaling groups
- Time-series forecasting for business metrics like sales and inventory (Correct answer)
- Detecting real-time security threats across AWS accounts
- Classifying images in large training datasets
Correct answer: Time-series forecasting for business metrics like sales and inventory
Amazon Forecast is a fully managed service that uses ML to deliver highly accurate time-series forecasts for business metrics such as sales, inventory, and capacity planning.
What is Amazon SageMaker primarily used for?