- A
Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries.
Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries. This reduces query latency and the number of round trips.
- B
Configure DynamoDB auto scaling to adjust read and write capacity based on demand.
Configure DynamoDB auto scaling to adjust read and write capacity based on demand, ensuring sufficient throughput during peak hours without over-provisioning.
- C
Use Amazon ElastiCache for Redis to cache DynamoDB query results.
Why wrong: Using Amazon ElastiCache for Redis is an external caching solution that adds operational complexity and is not directly optimized for DynamoDB integration; DAX is the recommended DynamoDB caching service.
- D
Implement Lambda function warmers to keep containers initialized and reduce cold starts.
Why wrong: Implementing Lambda function warmers addresses cold starts but does not improve DynamoDB query performance.
- E
Enable Amazon DynamoDB Accelerator (DAX) for read-heavy workloads.
Enable Amazon DynamoDB Accelerator (DAX) for read-heavy workloads to provide in-memory caching for DynamoDB, significantly reducing read latency.
SAP-C02 Continuous Improvement for Existing Solutions Practice Question
This SAP-C02 practice question tests your understanding of continuous improvement for existing solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company has a serverless application using AWS Lambda, Amazon API Gateway, and Amazon DynamoDB. The application experiences occasional timeouts during peak hours. After reviewing AWS X-Ray traces, the team finds that DynamoDB queries are slow. Which THREE actions should the team take to improve performance and continuously optimize the solution?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries.
To improve performance and optimize the serverless application, the team should take the following actions: Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries (Option A). This reduces query latency and the number of round trips. Configure DynamoDB auto scaling (Option B) to adjust read and write capacity based on demand, ensuring sufficient throughput during peak hours without over-provisioning. Enable Amazon DynamoDB Accelerator (DAX) for read-heavy workloads (Option E) to provide in-memory caching for DynamoDB, significantly reducing read latency. Using Amazon ElastiCache for Redis (Option C) is an external caching solution that adds operational complexity and is not directly optimized for DynamoDB integration; DAX is the recommended DynamoDB caching service. Implementing Lambda function warmers (Option D) addresses cold starts but does not improve DynamoDB query performance.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries.
Why this is correct
Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries. This reduces query latency and the number of round trips.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Configure DynamoDB auto scaling to adjust read and write capacity based on demand.
Why this is correct
Configure DynamoDB auto scaling to adjust read and write capacity based on demand, ensuring sufficient throughput during peak hours without over-provisioning.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Amazon ElastiCache for Redis to cache DynamoDB query results.
Why it's wrong here
Using Amazon ElastiCache for Redis is an external caching solution that adds operational complexity and is not directly optimized for DynamoDB integration; DAX is the recommended DynamoDB caching service.
- ✗
Implement Lambda function warmers to keep containers initialized and reduce cold starts.
Why it's wrong here
Implementing Lambda function warmers addresses cold starts but does not improve DynamoDB query performance.
- ✓
Enable Amazon DynamoDB Accelerator (DAX) for read-heavy workloads.
Why this is correct
Enable Amazon DynamoDB Accelerator (DAX) for read-heavy workloads to provide in-memory caching for DynamoDB, significantly reducing read latency.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
What to study next
Got this wrong? Here's your next step.
Identify which SAP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Continuous Improvement for Existing Solutions — study guide chapter
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FAQ
Questions learners often ask
What does this SAP-C02 question test?
Continuous Improvement for Existing Solutions — This question tests Continuous Improvement for Existing Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries. — To improve performance and optimize the serverless application, the team should take the following actions: Optimize DynamoDB queries by using global secondary indexes and reducing the number of separate queries (Option A). This reduces query latency and the number of round trips. Configure DynamoDB auto scaling (Option B) to adjust read and write capacity based on demand, ensuring sufficient throughput during peak hours without over-provisioning. Enable Amazon DynamoDB Accelerator (DAX) for read-heavy workloads (Option E) to provide in-memory caching for DynamoDB, significantly reducing read latency. Using Amazon ElastiCache for Redis (Option C) is an external caching solution that adds operational complexity and is not directly optimized for DynamoDB integration; DAX is the recommended DynamoDB caching service. Implementing Lambda function warmers (Option D) addresses cold starts but does not improve DynamoDB query performance.
What should I do if I get this SAP-C02 question wrong?
Identify which SAP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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