title: "How to Pass AWS Solutions Architect Associate in 2026: A Complete Study Plan"
meta_title: "Pass AWS Solutions Architect Associate 2026 | Study Plan"
meta_description: "Complete SAA-C04 study plan from a certified architect. Week-by-week schedule, exam domains, hands-on labs, and the resources that actually matter."
tags: [aws-certification, saa-c04, cloud-certification, aws-study-plan, solutions-architect]
author: Kenny Ogunlowo
date: 2026-04-02
read_time: 14 min
target_keywords:
- AWS SAA-C04
- AWS certification study plan
- cloud certification 2026
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How to Pass AWS Solutions Architect Associate in 2026: A Complete Study Plan
The AWS Solutions Architect Associate exam changed in 2024 when AWS released the SAA-C04 version, and the 2026 iteration has refined the question pool further. Having passed this exam twice across different versions and coached dozens of engineers through it — including 14 who passed on the first attempt while working full-time jobs in Lagos, Nairobi, and London — I can tell you the exam tests something specific: your ability to choose the right AWS service for a given set of constraints. Not your ability to memorize service limits. Not your ability to recite whitepapers. Your ability to read a scenario and pick the architecture that meets the stated requirements at the lowest cost and operational overhead.
This article gives you the exact study plan I use with my students. It runs eight weeks if you study 10-12 hours per week. It runs twelve weeks at 6-8 hours per week. Both timelines assume you start with basic IT knowledge — you know what a server is, you understand IP addresses, you have used a command line before. If you already work in IT, you can compress this to six weeks.
What the SAA-C04 Actually Tests
The SAA-C04 exam blueprint breaks into four domains with specific weightings:
| Domain | Weight | What It Really Means |
|---|---|---|
| 1. Design Secure Architectures | 30% | IAM policies, VPC design, encryption at rest and in transit, AWS Organizations |
| 2. Design Resilient Architectures | 26% | Multi-AZ, multi-region, Auto Scaling, decoupling with SQS/SNS, disaster recovery |
| 3. Design High-Performing Architectures | 24% | Selecting compute (EC2 vs Lambda vs ECS vs Fargate), storage tiering, caching with ElastiCache and CloudFront, database selection |
| 4. Design Cost-Optimized Architectures | 20% | Reserved Instances vs Savings Plans vs Spot, S3 storage classes, right-sizing, AWS Cost Explorer |
| Family | Use Case | Exam Scenario |
|---|---|---|
| M-series (M7g, M6i) | General purpose | "Balanced compute and memory" |
| C-series (C7g, C6i) | Compute optimized | "Batch processing, scientific modeling, gaming servers" |
| R-series (R7g, R6i) | Memory optimized | "In-memory caching, real-time analytics" |
| I-series (I4i) | Storage optimized | "High sequential I/O, data warehousing" |
| P/G-series (P5, G5) | Accelerated computing | "Machine learning training, GPU rendering" |
|---|---|---|
| T-series (T3, T4g) | Burstable | "Variable workloads, dev/test environments" |
| Requirement | AWS Service | Why |
|---|---|---|
| Relational, ACID, complex joins | RDS (Aurora preferred) | Aurora is MySQL/PostgreSQL compatible with 5x/3x throughput |
| Key-value, single-digit ms latency | DynamoDB | Serverless, auto-scales, global tables for multi-region |
| In-memory caching | ElastiCache (Redis or Memcached) | Redis for persistence + complex data types, Memcached for simple caching |
| Document database | DocumentDB | MongoDB-compatible, managed |
| Graph relationships | Neptune | Social networks, fraud detection, knowledge graphs |
|---|---|---|
| Time-series data | Timestream | IoT sensor data, DevOps metrics |
| Ledger/immutable records | QLDB | Supply chain, financial transactions requiring cryptographic verification |
| Data warehouse | Redshift | Columnar storage, petabyte scale, SQL analytics |