Study guide · 7 topics
AWS Exam Study Guide
Seven topic guides covering everything tested on AWS certification exams. Code examples, exam traps, and tips throughout.
Test your AWS knowledge → Free · No sign-upAWS EC2 Explained — Instance Types, AMIs, Security Groups & Pricing
EC2 is the foundational AWS compute service. Here's what certification exams test — instance types, security groups, and pricing.
Read guide →02 · 7 min readAWS S3 Bucket Guide — Storage Classes, Limits & Lifecycle
S3 is AWS's object storage service and appears in almost every architecture. Here's what the exam tests.
Read guide →03 · 5 min readAre S3 Buckets Global? S3 Regional vs Global Architecture
A common confusion: S3 bucket names are globally unique, but the data itself is regional. Here's exactly what that means — and what to do when you need truly global access.
Read guide →04 · 6 min readAWS IAM Explained — Users, Roles, Policies & Least Privilege Principle
IAM controls who can do what in AWS. It's tested heavily on every AWS certification.
Read guide →05 · 6 min readAWS VPC Explained — Subnets, Route Tables, NAT Gateway & Security Groups
VPC is the networking layer of AWS. Here's what the exam tests — subnets, routing, and the security group vs NACL distinction.
Read guide →06 · 5 min readAWS Lambda Explained — Event-Driven Functions, Triggers & Execution Model
Lambda is the core of AWS serverless. Here's what the exam tests — execution model, cold starts, and integration patterns.
Read guide →07 · 6 min readAWS Architecture — High Availability, Auto Scaling & Well-Architected
Architecture questions are the core of AWS certification. Here's the key patterns and the Well-Architected Framework pillars.
Read guide →Where AWS leads
Certifications that build on AWS
Real proctored exams with published blueprints — each with a free readiness test here that scores you per exam domain rather than giving you one number.
Microsoft AI-103 (Azure AI Apps & Agents)
The same cloud AI-engineering decisions you just tested on — deployment options, quotas, scaling, cost, managed identity — are 25-30% of AI-103, on Azure instead.