Machine Learning and Artificial Intelligence
RecognitionAmazon Bedrock
Newly added positive scope for AI workloads; no standalone numbered-skill decision.
Key points
- Bedrock is positive in-scope recognition for AI workloads, not a standalone numbered-skill decision in this lane.
Best-known use cases
- D1.1 and D1.2: monitor or remediate a named Bedrock workload only when the scenario makes that workload operationally relevant.
What candidates often confuse it with
- Bedrock is the workload surface; CloudWatch, EventBridge, and runbooks provide the task-supported operations controls.
Key takeaway
Keep Bedrock coverage tied to monitoring and remediation of the stated AI workload.
Related services
- AWS Auto Scaling
Relevant exam tasks
- D1.1 — Task 1.1: Implement metrics, alarms, and filters by using AWS monitoring and logging services.
- 1.1.1 — Use AWS services (for example, Amazon CloudWatch, AWS CloudTrail, Amazon Managed Service for Prometheus) to configure monitoring and logging for workloads (for example, serverless, compute, AI).
- D1.2 — Task 1.2: Identify and remediate issues by using monitoring and availability metrics.
- 1.2.1 — Analyze performance metrics and automate remediation strategies by using AWS services and functionality (for example, CloudWatch, Lambda, AWS Systems Manager, CloudTrail, Kiro, AWS DevOps Agent).