Study Notes / AWS Certification

AWS Study Notes that teach before the Arcade tests.

These guides explain the material behind the AWS Security Arcade question banks: what services solve, how AWS scenario clues work, which tradeoffs matter, and where exam traps hide.

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foundationalCLF-C02

AWS Certified Cloud Practitioner

Build broad AWS cloud fluency, shared-responsibility judgment, service recognition, and cost-awareness before deeper role-based training.

Status
Published
Domains
4
Scope
Four to six focused weeks for a learner new to AWS. The goal is broad cloud judgment, not implementation depth.
foundationalAIF-C01

AWS Certified AI Practitioner

Develop foundational AI, generative AI, responsible AI, and AWS AI service-selection judgment.

Status
Published
Domains
5
Scope
Four to six focused weeks if you already understand basic cloud concepts. Add time if AI/ML terminology is new.
associateSAA-C03

AWS Certified Solutions Architect - Associate

Practice secure, resilient, high-performing, and cost-optimized architecture decisions using realistic AWS constraints.

Status
Published
Domains
4
Scope
Eight to twelve focused weeks for a learner with basic AWS familiarity. Architecture tradeoffs matter more than memorized service definitions.
associateDVA-C02

AWS Certified Developer - Associate

Train AWS application-development, deployment, security, troubleshooting, SDK, and event-driven design judgment.

Status
Published
Domains
4
Scope
Eight to ten weeks for developers who can already read application code and deployment pipelines. Expect SDK, event, permissions, and troubleshooting detail.
associateSOA-C03

AWS Certified CloudOps Engineer - Associate

Build operational judgment for monitoring, remediation, reliability, provisioning, security, networking, and cost operations.

Status
Published
Domains
5
Scope
Eight to twelve weeks for operators with AWS basics. Expect telemetry, automation, resilience, security operations, and network troubleshooting.
associateDEA-C01

AWS Certified Data Engineer - Associate

Practice data-ingestion, transformation, storage, operations, governance, and security decisions on AWS.

Status
Published
Domains
4
Scope
Eight to twelve weeks for learners who know data pipelines, SQL, and basic AWS. Expect ingestion, transformation, stores, operations, and governance.
associateMLA-C01

AWS Certified Machine Learning Engineer - Associate

Train production ML judgment across data preparation, model development, deployment, orchestration, monitoring, security, and cost.

Status
Published
Domains
4
Scope
Eight to twelve weeks if you already know basic ML workflow concepts. Expect production ML operations, not pure data-science theory.

How the Loop Works

1

Study Notes teach the material

2

AWS Arcade tests understanding

3

Weakness analysis identifies gaps

4

Study Notes target remediation