AWS Services Mapping (Reverse Index)¶
Service-by-service review. For last-mile cramming, walk down this list and ensure you can answer "what would the exam test about this service?" for each.
Organized by AWS in-scope category. Each entry: short description + the exam-relevant role it plays + which Domain(s) it shows up in.
Machine Learning (the most-tested category)¶
Amazon Bedrock¶
- What: Managed access to foundation models from multiple providers (Anthropic, AI21, Cohere, Meta, Mistral, Stability, Amazon Titan/Nova). The central service for this exam.
- Exam roles: model invocation (InvokeModel, Converse), streaming (ConverseStream), batch inference, fine-tuning, continued pre-training, Provisioned Throughput, Cross-Region Inference, prompt caching.
- Where tested: Domains 1, 2, 3, 4, 5 (all).
Amazon Bedrock AgentCore¶
- What: Production runtime for AI agents - secure execution, memory, identity, gateway, browser tool, code interpreter, observability.
- Exam roles: production-grade agent runtime when Bedrock Agents alone is insufficient.
- Where tested: Domain 2 (agentic).
Amazon Bedrock Knowledge Bases¶
- What: Managed RAG - ingestion + chunking + embedding + vector store + retrieval.
- Exam roles: default RAG choice; Retrieve and RetrieveAndGenerate APIs; metadata filters; hybrid search; reranking; multimodal.
- Where tested: Domain 1 (1.4, 1.5), Domain 3 (grounding), Domain 4 (retrieval perf), Domain 5 (RAG eval).
Amazon Bedrock Prompt Management¶
- What: Centralized prompt template repository with versioning and aliasing.
- Exam roles: parameterized templates, versions, approval workflows, A/B variants.
- Where tested: Domain 1 (1.6), Domain 3 (governance), Domain 4 (A/B testing), Domain 5 (versioning).
Amazon Bedrock Prompt Flows¶
- What: Visual / no-code prompt orchestration with chains, branching, KB nodes, Lambda nodes.
- Exam roles: complex prompt systems, no-code workflows, conditional branching.
- Where tested: Domain 1 (1.6), Domain 2 (2.5).
Amazon Augmented AI (A2I)¶
- What: Human review workflows for ML predictions.
- Exam roles: human-in-the-loop review, low-confidence escalation, in-production annotation.
- Where tested: Domain 2 (2.1.5), Domain 3 (transparency), Domain 5 (user-centered eval).
Amazon Comprehend¶
- What: NLP service for entities, sentiment, key phrases, language detection, PII detection, custom classifiers.
- Exam roles: real-time PII detection in prompts, intent classification, pre-processing for FMs.
- Where tested: Domain 1 (1.3, 1.6), Domain 3 (3.1, 3.2, 3.4).
Amazon Kendra¶
- What: Intelligent enterprise search with semantic understanding.
- Exam roles: enterprise-source retriever for RAG (alternative to vector DB), high-precision search with built-in connectors.
- Where tested: Domain 1 (1.4, 1.5).
Amazon Lex¶
- What: Conversational chatbot builder with intents and slots.
- Exam roles: conversational front-end, slot filling, intent recognition, paired with Bedrock for free-form responses.
- Where tested: Domain 1 (1.6), Domain 2 (2.5).
Amazon Q Business¶
- What: GenAI assistant for internal knowledge - connectors to enterprise sources (S3, SharePoint, Salesforce, ServiceNow, Confluence, etc.).
- Exam roles: no-code internal employee assistant; alternative to building custom RAG for enterprise data.
- Where tested: Domain 2 (2.5).
Amazon Q Business Apps¶
- What: Build custom apps on top of Q Business (with custom prompts and actions).
- Exam roles: low-code GenAI apps over enterprise data.
- Where tested: Domain 2 (2.5).
Amazon Q Developer¶
- What: GenAI assistant for developers - inline IDE suggestions, refactoring, AWS-aware code, transformation (Java upgrades, .NET porting).
- Exam roles: developer productivity, GenAI error pattern recognition for troubleshooting.
- Where tested: Domain 2 (2.5.4, 2.5.6).
Amazon Rekognition¶
- What: Computer vision (object/face/text detection).
- Exam roles: image preprocessing for multimodal pipelines; metadata extraction.
- Where tested: Domain 1 (1.3 multimodal).
Amazon SageMaker AI¶
- What: End-to-end ML platform; hosts custom and fine-tuned models on managed endpoints.
- Exam roles: deploy custom / open-source LLMs; fine-tuned models that don't fit Bedrock; hybrid solutions.
- Where tested: Domain 1 (1.2.4), Domain 2 (2.2).
Amazon SageMaker Clarify¶
- What: Bias detection (data and model) and explainability.
- Exam roles: fairness evaluation in classical ML; bias drift monitoring.
- Where tested: Domain 3 (3.4).
Amazon SageMaker Data Wrangler¶
- What: Interactive data prep for ML.
- Exam roles: data validation and prep before FM consumption (interactive flows).
- Where tested: Domain 1 (1.3).
Amazon SageMaker Ground Truth¶
- What: Data labeling service (human + automated labeling, RLHF).
- Exam roles: labeling for fine-tuning datasets; annotation workflows.
- Where tested: Domain 2 (HITL), Domain 5 (annotation).
Amazon SageMaker JumpStart¶
- What: Pre-built models and solution templates (popular open-source LLMs deployable in one click).
- Exam roles: quick deployment of open-source LLMs (Llama, Mistral, Falcon, etc.) on SageMaker.
- Where tested: Domain 2 (2.2).
Amazon SageMaker Model Monitor¶
- What: Drift detection in production (data quality, model quality, bias drift, feature attribution drift).
- Exam roles: ongoing drift monitoring; pairs with Clarify for bias drift.
- Where tested: Domain 3 (3.3.4), Domain 4 (4.3).
Amazon SageMaker Model Registry¶
- What: Model versioning + approval workflow.
- Exam roles: lifecycle management of fine-tuned/custom models; CI/CD with approval gates.
- Where tested: Domain 1 (1.2.4), Domain 3 (governance).
Amazon SageMaker Neo¶
- What: Compile models for optimized / edge inference (across hardware targets).
- Exam roles: edge or cost-optimized inference; cross-environment deployment.
- Where tested: Domain 2 (2.3.4).
Amazon SageMaker Processing¶
- What: Pre/post-processing jobs (data prep, model evaluation jobs).
- Exam roles: large-scale data transformation for FM consumption.
- Where tested: Domain 1 (1.3).
Amazon SageMaker Unified Studio¶
- What: Unified ML/data IDE.
- Exam roles: single workspace for data + ML + GenAI development.
- Where tested: Domain 2 (developer experience).
Amazon Textract¶
- What: Document OCR + structure extraction (forms, tables).
- Exam roles: document preprocessing for RAG / FM input; multimodal pipeline component.
- Where tested: Domain 1 (1.3 multimodal).
Amazon Titan¶
- What: Amazon-built FM family (Titan Text, Titan Text Embeddings v2, Titan Multimodal Embeddings, Titan Image Generator).
- Exam roles: default first-party embedding model; multimodal embeddings; cost-effective text generation.
- Where tested: Domain 1 (1.5 embeddings), broader generation.
Amazon Transcribe¶
- What: Speech-to-text (with custom vocabulary, speaker diarization).
- Exam roles: audio preprocessing for multimodal pipelines.
- Where tested: Domain 1 (1.3 multimodal).
Application Integration¶
Amazon AppFlow¶
- What: SaaS integration service (Salesforce, ServiceNow, Slack, Marketo, etc. β S3 / Redshift / etc.).
- Exam roles: ingest SaaS data into S3 for Knowledge Base ingestion.
- Where tested: Domain 2 (2.3 enterprise integration), Domain 1 (1.4 data sources).
AWS AppConfig¶
- What: Application config management with feature flags, validators, gradual rollouts.
- Exam roles: dynamic model selection, prompt routing flags, parameter tuning without redeploy.
- Where tested: Domain 1 (1.2.2), Domain 2 (2.4.4 routing).
Amazon EventBridge¶
- What: Serverless event bus.
- Exam roles: event-driven enterprise integration; trigger ingestion on S3 changes; auto-remediation on alarms.
- Where tested: Domain 1 (1.4.5 maintenance), Domain 2 (2.3 integration), Domain 4 (4.3 monitoring).
Amazon SNS¶
- What: Pub/sub messaging.
- Exam roles: alarm notifications, approval workflow gates, fan-out.
- Where tested: Domain 4 (alerting), Domain 2 (approval).
Amazon SQS¶
- What: Managed message queue.
- Exam roles: async FM invocation, batch embedding pipeline, decoupling.
- Where tested: Domain 2 (2.4 async).
AWS Step Functions¶
- What: Serverless state machine / workflow orchestrator.
- Exam roles: agent orchestration (ReAct), circuit breaker, query transformation, document processing, approval workflows, custom evaluation pipelines.
- Where tested: Domain 1 (1.5, 1.6), Domain 2 (2.1, 2.2, 2.3, 2.5), Domain 5 (eval pipelines).
Compute¶
AWS App Runner¶
- What: Managed container app service.
- Exam roles: deploying GenAI apps without managing infrastructure.
- Where tested: Domain 2 (deployment).
Amazon EC2¶
- What: Virtual servers.
- Exam roles: hosting custom inference (rare in this exam); MCP servers for stateful workloads via ECS/EKS instead.
- Where tested: Domain 2 (general).
AWS Lambda¶
- What: Serverless functions.
- Exam roles: FM invocation glue, tool / action group implementations, prompt chains, retrieval orchestration, validators, MCP stateless tool servers, evaluators.
- Where tested: every domain.
AWS Lambda@Edge¶
- What: Lambda at CloudFront edge locations.
- Exam roles: low-latency request processing at edge; rare for this exam.
- Where tested: Domain 2 (2.3.4 edge).
AWS Outposts¶
- What: AWS infrastructure on-premises.
- Exam roles: hybrid AI for regulated data that can't leave premises.
- Where tested: Domain 2 (2.3.4 hybrid).
AWS Wavelength¶
- What: AWS infrastructure inside telecom carrier networks (5G edge).
- Exam roles: ultra-low-latency edge AI use cases.
- Where tested: Domain 2 (2.3.4 edge).
Containers¶
Amazon ECR¶
- What: Container registry.
- Exam roles: store custom inference / agent / MCP server images.
- Where tested: Domain 2.
Amazon ECS / Amazon EKS¶
- What: Container orchestration (ECS managed, EKS Kubernetes).
- Exam roles: stateful or heavy MCP servers; long-running agent workloads; custom inference deployments.
- Where tested: Domain 2 (2.1.7, 2.2).
AWS Fargate¶
- What: Serverless container compute (with ECS or EKS).
- Exam roles: stateless / stateful container workloads without managing servers.
- Where tested: Domain 2 (deployment).
Customer Engagement¶
Amazon Connect¶
- What: Cloud contact center.
- Exam roles: GenAI-enhanced contact center (Bedrock + Lex + Connect).
- Where tested: Domain 2 (business systems).
Database¶
Amazon Aurora¶
- What: MySQL/PostgreSQL-compatible relational DB. Aurora PostgreSQL with pgvector for vector search.
- Exam roles: vectors next to relational data; SQL filtering combined with vector similarity.
- Where tested: Domain 1 (1.4, 1.5).
Amazon DocumentDB¶
- What: MongoDB-compatible document DB. Vector search support.
- Exam roles: vector search if you already use Mongo APIs.
- Where tested: Domain 1 (1.4).
Amazon DynamoDB (+ Streams)¶
- What: Serverless key-value / document DB. Streams expose change data.
- Exam roles: conversation history, session state, agent memory; metadata stores; change-driven ingestion via Streams.
- Where tested: Domain 1 (1.4, 1.6), Domain 2 (state).
Amazon ElastiCache¶
- What: Managed Redis / Memcached. Redis with vector support.
- Exam roles: hot semantic cache, conversation hot history, fast retrievals.
- Where tested: Domain 4 (caching).
Amazon Neptune¶
- What: Graph DB. Neptune Analytics supports vector search alongside graph queries.
- Exam roles: graph-RAG use cases (knowledge graphs with embeddings).
- Where tested: Domain 1 (1.4).
Amazon RDS¶
- What: Managed relational DB (multiple engines).
- Exam roles: PostgreSQL with pgvector for vector search; data sources.
- Where tested: Domain 1 (1.4).
Developer Tools¶
AWS Amplify¶
- What: Front-end + backend deployment toolkit.
- Exam roles: declarative UI components for GenAI apps; rapid prototyping.
- Where tested: Domain 2 (2.5.2).
AWS CDK / AWS CloudFormation¶
- What: Infrastructure as code.
- Exam roles: deploy GenAI stacks reproducibly; standardized components.
- Where tested: Domain 1 (1.1.3), Domain 2 (CI/CD).
AWS CLI / SDK¶
- What: Command-line + programmatic AWS access.
- Exam roles: programmatic Bedrock invocation; Bedrock SDK exponential backoff.
- Where tested: Domain 2 (2.4 resilience).
AWS CodeArtifact / CodeBuild / CodeDeploy / CodePipeline¶
- What: CI/CD services.
- Exam roles: end-to-end GenAI CI/CD with prompt eval gates, model deployment, rollback.
- Where tested: Domain 2 (2.3.5).
AWS X-Ray¶
- What: Distributed tracing.
- Exam roles: end-to-end traces across API Gateway β Lambda β Bedrock; agent observability; troubleshooting latency.
- Where tested: Domain 2, 4, 5.
Analytics¶
Amazon Athena¶
- What: Serverless SQL over S3.
- Exam roles: querying logs, eval results, large structured datasets.
- Where tested: Domain 4 (analysis).
Amazon EMR¶
- What: Managed big-data processing (Spark, Hive, Presto, Trino).
- Exam roles: large-scale data prep for FM consumption (rare in scope).
- Where tested: Domain 1 (1.3 limited).
AWS Glue¶
- What: Serverless ETL + Data Catalog + Glue Data Quality.
- Exam roles: data validation (Glue Data Quality), data lineage tracking, data catalog for source attribution.
- Where tested: Domain 1 (1.3), Domain 3 (3.3 lineage).
Amazon Kinesis¶
- What: Real-time streaming.
- Exam roles: streaming ingestion for real-time RAG updates; rare here.
- Where tested: Domain 1 (data pipelines).
Amazon OpenSearch Service¶
- What: Managed Elasticsearch / OpenSearch with k-NN plugin and Neural plugin for direct Bedrock embedding integration.
- Exam roles: vector search at scale; hybrid search; Bedrock KB backing store; full-text + vector together.
- Where tested: Domain 1 (1.4, 1.5), Domain 4 (perf).
Amazon QuickSight¶
- What: BI / dashboarding.
- Exam roles: business-stakeholder reporting; rarely picked over CloudWatch / Grafana for ops.
- Where tested: Domain 4 (reporting), Domain 5.
Amazon Managed Streaming for Apache Kafka (Amazon MSK)¶
- What: Managed Kafka.
- Exam roles: enterprise event streaming integration.
- Where tested: Domain 2 (integration).
Management and Governance¶
AWS Auto Scaling¶
- What: Auto scaling for many AWS resources (EC2, ECS, Lambda concurrency, SageMaker endpoints, DynamoDB, etc.).
- Exam roles: scaling SageMaker endpoints, DynamoDB capacity, ECS services.
- Where tested: Domain 4 (4.1.3, 4.2.5).
AWS Chatbot¶
- What: ChatOps integration with Slack and Microsoft Teams for AWS notifications.
- Exam roles: notify on alarms; trigger chat-based remediation.
- Where tested: Domain 4 (alerting).
AWS CloudTrail¶
- What: API call audit log.
- Exam roles: who-called-what audit; Bedrock data events for per-invocation audit.
- Where tested: Domain 1 (1.6 audit), Domain 3 (3.3 audit), Domain 4 (4.3).
Amazon CloudWatch / CloudWatch Logs / CloudWatch Synthetics¶
- What: Monitoring service - metrics, logs, alarms, dashboards, anomaly detection, synthetics canaries, Logs Insights queries.
- Exam roles: GenAI ops metrics (token usage, latency, errors), prompt analysis, anomaly detection, synthetic monitoring of prompts.
- Where tested: Domain 3 (3.3.4), Domain 4 (4.3 entire), Domain 5 (5.2.5).
AWS Cost Anomaly Detection¶
- What: Automatic detection of unusual cost / usage patterns.
- Exam roles: catch runaway agents / cost spikes; trigger remediation.
- Where tested: Domain 4 (4.1, 4.3).
AWS Cost Explorer¶
- What: Visualize and analyze AWS spend.
- Exam roles: cost analysis by tag (per-team, per-tenant, per-prompt-template).
- Where tested: Domain 4 (4.3).
Amazon Managed Grafana¶
- What: Managed Grafana for cross-source dashboards.
- Exam roles: rich operational dashboards combining CloudWatch + Prometheus + other sources.
- Where tested: Domain 4 (4.3 reporting).
AWS Service Catalog¶
- What: Catalog of approved IT/cloud products.
- Exam roles: publish standardized GenAI patterns / templates for self-service compliance.
- Where tested: Domain 1 (1.1.3), Domain 3 (3.3 governance).
AWS Systems Manager¶
- What: Operations services (Parameter Store, Run Command, Sessions Manager, etc.).
- Exam roles: Parameter Store for storing model IDs, prompt template references, configuration.
- Where tested: Domain 1 (1.2.2 dynamic config) - though AppConfig is preferred.
AWS Well-Architected Tool¶
- What: Tool for reviewing workloads against the Well-Architected Framework, including the Generative AI Lens.
- Exam roles: design-time review; standardized component validation.
- Where tested: Domain 1 (1.1.3).
Migration and Transfer¶
AWS DataSync¶
- What: Data transfer service (NFS, SMB, S3, Azure Blob, GCS, HDFS, etc.).
- Exam roles: land enterprise file data in S3 for KB ingestion.
- Where tested: Domain 1 (1.4 connectivity).
AWS Transfer Family¶
- What: Managed SFTP, FTPS, FTP, AS2 endpoints into S3.
- Exam roles: legacy file-based integrations into S3 for KB ingestion.
- Where tested: Domain 1 (1.4), Domain 2 (2.3 enterprise integration).
Networking and Content Delivery¶
Amazon API Gateway¶
- What: Managed API gateway (REST, HTTP, WebSocket).
- Exam roles: front-door for GenAI APIs; auth, rate limiting, request validation, transformations, WebSocket streaming.
- Where tested: Domain 1, 2, 3, 4 (all).
AWS AppSync¶
- What: Managed GraphQL service.
- Exam roles: real-time subscriptions for streaming AI responses.
- Where tested: Domain 2 (2.4.2 streaming).
Amazon CloudFront¶
- What: CDN.
- Exam roles: edge caching for public GenAI endpoints; AWS WAF integration.
- Where tested: Domain 4 (caching), Domain 3 (WAF).
Elastic Load Balancing (ELB)¶
- What: Load balancers (ALB, NLB, GWLB).
- Exam roles: load balance custom inference / agent containers.
- Where tested: Domain 2.
AWS Global Accelerator¶
- What: Global static IP front for AWS services.
- Exam roles: lower-latency global routing to GenAI endpoints.
- Where tested: Domain 2.
AWS PrivateLink¶
- What: Private connectivity to AWS services via VPC endpoints.
- Exam roles: Bedrock VPC endpoints, SageMaker VPC endpoints; keep traffic off public internet.
- Where tested: Domain 3 (3.2.1), Domain 4 (latency).
Amazon Route 53¶
- What: DNS service.
- Exam roles: custom domains for GenAI APIs, health-check-based failover.
- Where tested: Domain 2.
Amazon VPC¶
- What: Virtual network.
- Exam roles: network isolation; VPC endpoints for Bedrock; secure GenAI deployments.
- Where tested: Domain 3 (3.2.1).
Security, Identity, and Compliance¶
Amazon Cognito¶
- What: User authentication (User Pools + Identity Pools).
- Exam roles: end-user auth for GenAI apps; federated identities for AWS resource access.
- Where tested: Domain 2 (2.3.3), Domain 3 (3.2.1).
AWS Encryption SDK¶
- What: Client-side encryption library.
- Exam roles: encrypt sensitive data before sending to Bedrock or storing.
- Where tested: Domain 3 (3.2).
IAM (and IAM Access Analyzer, IAM Identity Center)¶
- What: Identity and access management.
- Exam roles: least-privilege roles for Lambda / agents; tag-based ABAC for tenancy; identity federation; cross-account / public access detection.
- Where tested: Domain 2 (2.3.3), Domain 3 (3.2 entire).
AWS KMS¶
- What: Key management for encryption.
- Exam roles: customer-managed keys for fine-tuned model artifacts, KB data, S3 logs.
- Where tested: Domain 3 (3.2).
Amazon Macie¶
- What: PII / sensitive data discovery in S3 (at rest).
- Exam roles: scan training data, KB sources, log buckets for PII.
- Where tested: Domain 3 (3.2.2).
AWS Secrets Manager¶
- What: Secrets storage with rotation.
- Exam roles: third-party API keys for tools; database creds; never embed in prompts.
- Where tested: Domain 3 (3.2).
AWS WAF¶
- What: Web app firewall.
- Exam roles: protect public GenAI endpoints from L7 attacks; rate limiting; basic injection patterns.
- Where tested: Domain 3 (3.1.4 defense in depth).
Storage¶
Amazon EBS¶
- What: Block storage for EC2.
- Exam roles: SageMaker / EC2 inference disks.
- Where tested: Domain 2 (rare).
Amazon EFS¶
- What: Managed NFS file system.
- Exam roles: shared model artifacts across instances; Lambda + EFS for large dependencies.
- Where tested: Domain 2 (rare).
Amazon S3 (Intelligent-Tiering, Lifecycle, Cross-Region Replication)¶
- What: Object storage.
- Exam roles: KB source documents; prompt template storage; Bedrock Model Invocation Logs destination; eval data; cost optimization via tiering / lifecycle.
- Where tested: every domain.
Out-of-scope reminder¶
Don't waste time studying these for AIP-C01:
- ML services NOT in scope: DeepRacer, DeepComposer, DevOps Guru, Forecast, Fraud Detector, Lookout for Equipment / Metrics / Vision, HealthLake, Monitron, Panorama
- Compute NOT in scope: Batch, Beanstalk, Lightsail, Snow Family
- Database NOT in scope: Redshift, Timestream, Keyspaces, QLDB
- Other not in scope: SES, IoT family, GameLift, Braket, all media services, Direct Connect, Transit Gateway
Last-mile crash review checklist¶
Walk this list. For each, you should be able to give a 30-second answer to "what does it do and when would the exam use it?"
- Bedrock InvokeModel / Converse / streaming
- Bedrock Provisioned Throughput vs on-demand vs batch
- Bedrock Cross-Region Inference
- Bedrock fine-tuning + custom model + PT requirement
- Bedrock Knowledge Bases (connectors, chunking, embeddings, vector stores, hybrid, reranker, metadata filters)
- Bedrock Guardrails (six policy types, apply to input + output, ApplyGuardrail standalone)
- Bedrock Agents (action groups, KB assoc, Guardrails, traces, return of control, versions/aliases)
- Bedrock AgentCore (Runtime, Memory, Identity, Gateway, Browser, Code Interpreter, Observability)
- Bedrock Prompt Management (templates, versions, aliases, approval)
- Bedrock Prompt Flows (visual chains, branching, KB nodes, Lambda nodes)
- Bedrock Model Evaluation (automatic, human, LLM-as-Judge; single, multi-model, RAG)
- Bedrock Data Automation (PDF/image/audio/video β structured)
- Bedrock Model Invocation Logs (S3 + CloudWatch Logs)
- Strands Agents (open-source code-first SDK)
- AWS Agent Squad (open-source multi-agent orchestrator)
- MCP servers on Lambda (stateless) / ECS (stateful)
- SageMaker AI endpoints (real-time / async / serverless / batch / MME)
- SageMaker JumpStart, Neo, Model Registry, Model Monitor, Clarify, Ground Truth, Data Wrangler, Processing
- Amazon Comprehend (real-time PII)
- Amazon Macie (S3 at-rest PII discovery) - don't confuse with Comprehend
- Amazon Kendra as RAG retriever
- Amazon Q Business (employee assistant) vs Q Developer (developer assistant)
- Amazon Lex (slots + intents)
- OpenSearch (k-NN + Neural plugin), Aurora pgvector, Neptune Analytics, DocumentDB, ElastiCache Redis vector
- DynamoDB for state / conversation / metadata
- Step Functions for ReAct, circuit breaker, query transformation, agent orchestration
- Lambda for tool servers, validators, integration glue
- AppConfig for dynamic model selection / parameter tuning
- EventBridge for event-driven integration + auto remediation
- AppFlow, DataSync, Transfer Family (data ingestion)
- API Gateway (REST + WebSocket + auth + rate limit + transform)
- AppSync (GraphQL streaming)
- CloudFront + WAF (edge protection)
- X-Ray (distributed traces)
- CloudWatch (metrics, logs, alarms, dashboards, Synthetics, anomaly detection)
- CloudTrail data events for Bedrock
- Cost Anomaly Detection + Cost Explorer + tagging
- PrivateLink (Bedrock VPC endpoints)
- IAM (least privilege, ABAC tags, Identity Center federation)
- KMS, Secrets Manager
- Lake Formation (granular data access)
- Glue Data Catalog + Glue Data Quality + lineage
- AWS Well-Architected Generative AI Lens
- CAF-AI, GenAI Lifecycle Operational Excellence framework