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AWS Machine Learning Fundamentals Flashcards
AWS Machine Learning Engineer Associate MLA-C01 Flashcards
| Front | Back |
| How does AWS Glue support machine learning | Provides tools for data preparation and integration for ML workflows |
| How does SageMaker Automatic Model Tuning work | Uses Bayesian optimization to find the best hyperparameters for training jobs |
| How does SageMaker Debugger assist | Performs real-time debugging of training jobs |
| How does SageMaker Feature Store help | Provides a centralized repository for storing, sharing, and managing machine learning features |
| How does SageMaker Ground Truth help | Simplifies data labeling using AI-assisted workflows |
| What are AWS Inferentia chips | Dedicated hardware designed to accelerate machine learning inference tasks |
| What does Amazon Lex enable | Builds conversational interfaces like chatbots powered by machine learning |
| What does Amazon Personalize do | Provides recommendations for users based on machine learning algorithms |
| What does Amazon Rekognition do | Provides image and video analysis powered by machine learning |
| What does Amazon Textract do | Extracts text and data from documents using machine learning |
| What does SageMaker Model Monitor do | Detects and reports anomalies in models deployed to production |
| What does SageMaker Studio provide | A fully integrated development environment for machine learning |
| What is a benefit of SageMaker | Simplifies the machine learning workflow including data preparation and model deployment |
| What is a benefit of SageMaker Clarify | Provides insights into model bias and explainability |
| What is a feature of SageMaker Autopilot | Automatically generates candidate models with pre-tuned parameters |
| What is a key feature of SageMaker Neo | Optimizes models to run faster on edge devices |
| What is Amazon Augmented AI (A2I) | Enables human review of machine learning predictions for sensitive use cases |
| What is Amazon Comprehend | A natural language processing service that provides insights like sentiment analysis and entity recognition |
| What is Amazon Kendra | An intelligent search service powered by machine learning for enterprise solutions |
| What is Amazon SageMaker | A managed service for building, training, and deploying machine learning models at scale |
| What is Amazon Translate | Provides language translation services powered by machine learning |
| What is an endpoint in SageMaker | A resource for deploying and hosting machine learning models |
| What is AWS AI Services | Pre-trained AI tools for tasks such as vision, language, recommendations, and forecasting |
| What is AWS Deep Learning AMI | Preconfigured EC2 instances for deep learning tasks |
| What is AWS DeepRacer | A cloud-based platform for applying reinforcement learning to race autonomous vehicles |
| What is SageMaker Autopilot | A tool that automates the machine learning model selection, training, and tuning process |
| What is SageMaker Distributed Training | Enables faster training of deep learning models across multiple GPUs and nodes |
| What is SageMaker Experiments used for | Organizing and tracking machine learning model training runs and metadata |
| What is SageMaker JumpStart | Offers ready-made machine learning solutions and pre-trained models |
| What is SageMaker Pipeline | A tool for automating end-to-end machine learning workflows |
| What is SageMaker Profiler | Analyzes resource utilization and bottlenecks during training jobs to optimize performance |
| What is SageMaker Studio Lab | A free service for experimenting with machine learning in a collaborative environment |
| What is the function of SageMaker Autodoc | Automatically generates documentation for machine learning workflows |
| What is the purpose of Amazon Forecast | Provides time-series forecasting using machine learning models |
| What is the purpose of SageMaker Data Wrangler | Simplifies the process of data preparation and feature engineering |
| What is the purpose of SageMaker Model Registry | Helps catalog, manage, and deploy ML models consistently |
| What ML algorithms does SageMaker provide | Prebuilt algorithms and tools for custom algorithm creation |
| What type of analysis does Amazon Rekognition perform | Face recognition, object detection, and scene analysis |
| What type of service is Amazon Polly | Converts text into lifelike speech using machine learning |
| What type of service is Amazon Rekognition | Image and video recognition service |
This deck covers foundational machine learning concepts, tools, and services available in AWS such as SageMaker, AutoPilot, and Rekognition.