Design High-Performing Architectures for SAA-C03
Cover the storage, compute, database, network, and ingestion choices that drive performance decisions on the current SAA-C03 exam guide.
Performance on SAA-C03 is broader than “make it faster.” AWS now breaks this domain into five task groups because performance can come from storage shape, database design, edge placement, scaling policy, and ingestion architecture as much as from raw compute.
What this domain is really testing
Expect questions that ask which layer is the real bottleneck. Candidates lose points when they jump to bigger instances before checking storage class, caching, access patterns, endpoint placement, or the ingestion path feeding the workload.
Current weight in the exam guide
AWS currently weights this domain at 24% of scored content.
Work this domain in order
Start with 3.1 Storage Solutions, then 3.2 Compute Solutions, 3.3 Database Solutions, 3.4 Network Architectures, and 3.5 Data Ingestion & Transformation.
Fast routing inside this chapter
| If the scenario is really about… | Go first to… |
|---|
| storage type, IOPS, throughput, EBS/EFS/FSx/S3 fit | 3.1 Storage Solutions |
| EC2 versus Lambda versus containers, scaling signal, runtime fit | 3.2 Compute Solutions |
| Aurora, RDS, DynamoDB, ElastiCache, read scaling, hot partitions | 3.3 Database Solutions |
| ALB versus NLB, CloudFront, Global Accelerator, Direct Connect, PrivateLink | 3.4 Network Architectures |
| transfer services, stream ingestion, Glue, Athena, transformation path | 3.5 Data Ingestion & Transformation |
Bottleneck-first review habit
Before you pick a service, ask in this order:
- Is the bottleneck storage, compute, database, network, or the ingestion path?
- Is the issue really throughput, latency, scaling signal, or poor placement?
- Would caching, partitioning, edge placement, or asynchronous design solve it more cleanly than a larger instance?
Common SAA-C03 traps
- choosing the right service family with the wrong storage or network shape
- treating serverless as automatically high-performing without workload fit
- ignoring cache layers and read patterns in database questions
- assuming CDN, edge acceleration, and hybrid connectivity solve the same problem
Best review order late in prep
Revisit this chapter when:
- the answer choices all look technically plausible
- the symptom is “slow” but the real bottleneck is hidden
- you keep confusing CloudFront, Global Accelerator, ALB, and NLB
- your misses cluster around storage and database access-pattern questions
This is a high-noise chapter, so keep the glossary and resources nearby while you study it.
In this section
- Determine High-Performing Storage Solutions for SAA-C03
Choose the right S3, EBS, EFS, FSx, replication, and access-pattern design for SAA-C03 storage-performance scenarios.
- Design High-Performing and Elastic Compute Solutions for SAA-C03
Learn how SAA-C03 frames EC2, Auto Scaling, Lambda, containers, Batch, EMR, and resource sizing for high-performing compute decisions.
- Determine High-Performing Database Solutions for SAA-C03
Study the Aurora, RDS, DynamoDB, read-replica, proxy, and caching choices that drive SAA-C03 database-performance questions.
- Determine High-Performing and Scalable Network Architectures for SAA-C03
Cover CloudFront, Global Accelerator, Direct Connect, VPN, PrivateLink, load balancing, and scalable VPC topology choices for SAA-C03 networking scenarios.
- Determine High-Performing Data Ingestion and Transformation Solutions for SAA-C03
Learn the Kinesis, Glue, Athena, EMR, DataSync, Lake Formation, and transfer-pattern choices AWS tests for SAA-C03 ingestion and transformation scenarios.