AWS Machine Learning and AI Services Flashcards
7 cards from real AWS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 AWS Machine Learning and AI Services flashcards as text
What is Amazon SageMaker Autopilot?
Answer: An automated ML (AutoML) feature that builds and trains models automatically from your data
Amazon SageMaker Autopilot automatically explores different ML algorithms, builds and trains models, and tunes hyperparameters based on your data with full transparency.
Which SageMaker feature provides bias detection and model explainability?
Answer: SageMaker Clarify
Amazon SageMaker Clarify helps improve ML models by detecting potential bias in data and model predictions and providing explanations for individual predictions.
What is Amazon Lookout for Metrics used for?
Answer: Automatically detecting anomalies in business and operational time-series metrics
Amazon Lookout for Metrics uses ML to automatically detect and diagnose anomalies in business and operational data such as sudden drops in sales or spikes in customer churn.
What is AWS Panorama?
Answer: An ML appliance and SDK that brings computer vision to on-premises cameras
AWS Panorama is an ML appliance and SDK that allows organizations to add computer vision to on-premises cameras at the edge without requiring internet connectivity.
What does Amazon CodeGuru primarily provide?
Answer: Intelligent code reviews and application performance profiling recommendations
Amazon CodeGuru uses ML to provide intelligent code reviews that identify critical issues and security vulnerabilities, and it also profiles application performance to find costly lines of code.
What is Amazon Augmented AI (Amazon A2I) used for?
Answer: Adding human review workflows into ML predictions that fall below a confidence threshold
Amazon Augmented AI (A2I) makes it easy to build human review workflows into ML predictions, enabling human oversight when the model's confidence falls below a defined threshold.
Which AWS offering is a purpose-built integrated development environment (IDE) specifically for machine learning?
Answer: Amazon SageMaker Studio
Amazon SageMaker Studio is a web-based IDE for ML that provides a unified interface covering every step of the ML development workflow, from data preparation to model deployment.