Database and Storage Performance
This topic covers database engine selection, read replicas, Aurora, DynamoDB capacity modes, ElastiCache, EBS volume types, S3 request patterns, and file storage performance.
How to study for AWS Solutions Architect Associate
Treat each question as an architecture tradeoff: identify security boundaries, failure modes, performance needs, data paths, and cost constraints before choosing services.
Core concepts
Concept 1
Database and Storage Performance questions reward architecture tradeoff reasoning rather than picking the most familiar AWS service.
Exam cue: Identify the workload requirement, failure mode, data path, access boundary, and operational constraint.
Concept 2
The best answer maps requirements to security, resilience, performance, and cost constraints before choosing services.
Exam cue: Match the AWS service to the Well-Architected pillar the scenario is testing.
Concept 3
Eliminate answers that ignore shared responsibility, single points of failure, data movement, scaling behavior, or total cost.
Exam cue: Prefer managed, durable, least-privilege, multi-AZ, and right-sized designs when requirements call for them.
Risk pitfalls and guardrails
Choosing the most powerful service when a simpler managed service satisfies the requirement.
Guardrail: Avoid answers that use broad permissions, public data paths, single-AZ state, overbuilt compute, or commitment pricing without predictable usage.
Solving performance while ignoring security, availability, or cost constraints stated in the scenario.
Guardrail: Avoid answers that use broad permissions, public data paths, single-AZ state, overbuilt compute, or commitment pricing without predictable usage.
Assuming one Availability Zone, public access, or manual operations are acceptable without justification.
Guardrail: Avoid answers that use broad permissions, public data paths, single-AZ state, overbuilt compute, or commitment pricing without predictable usage.
Memory anchors
Read Replica
A read replica can improve read scalability by serving read traffic separately from the writer.
Aurora Replica
Aurora replicas can scale reads and support fast failover.
DynamoDB On Demand
DynamoDB on-demand capacity fits unpredictable traffic without capacity planning.
DynamoDB Provisioned
DynamoDB provisioned capacity fits predictable traffic with configured throughput.
ElastiCache
ElastiCache provides in-memory caching to reduce database load and latency.
EBS Volume Type
EBS volume type should match IOPS, throughput, latency, and cost requirements.
S3 Prefix Scaling
S3 automatically scales request performance for distributed object key patterns.
EFS Performance
EFS performance mode and throughput mode should match file workload needs.
FSx
Amazon FSx provides managed file systems for workloads needing specific file system features.
Connection Pooling
Connection pooling reduces database overhead from frequent client connections.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
A client uploads 50 GB objects to S3 over high-bandwidth links. It needs parallel transfer and efficient retry of failed portions. Which method fits?
A global workforce uploads large media files to one S3 bucket. Network distance to the bucket Region causes slow uploads. Which feature should be evaluated?
Answer all questions to submit.
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Continue learning
Move forward only after this module is stable.
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