AWS Services Reference

Quick reference for AWS services covered in the MLA-C01 exam.

Core ML Services

Service	Description	Key Use Cases
SageMaker	Full ML platform	Training, deployment, MLOps
Bedrock	Foundation models	GenAI, fine-tuning
Glue	ETL and data catalog	Data preparation
Comprehend/Rekognition	AI services	NLP, computer vision
Other ML Services	Specialized AI	Lex, Polly, Personalize

Service Categories

Data Preparation

• Amazon S3 - Object storage
• AWS Glue - ETL, data catalog
• Amazon Kinesis - Streaming data
• AWS Lake Formation - Data lake management
• Amazon Athena - Query service

Model Development

• Amazon SageMaker - Training, tuning
• Amazon Bedrock - Foundation models
• SageMaker JumpStart - Pre-trained models

Deployment

• SageMaker Endpoints - Inference
• Amazon ECR - Container registry
• AWS Lambda - Serverless compute

Orchestration

• SageMaker Pipelines - ML workflows
• AWS Step Functions - Orchestration
• Amazon MWAA - Apache Airflow

Monitoring

• Amazon CloudWatch - Metrics, logs
• AWS CloudTrail - Audit logging
• SageMaker Model Monitor - Drift detection

Security

• AWS IAM - Access management
• AWS KMS - Encryption
• AWS Secrets Manager - Secrets
• Amazon Macie - Data protection