SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 runs a stateless web API on Amazon EC2 behind an Application Load Balancer. The team notices that during business hours, the ALB starts queueing requests and the average request latency rises. They want to scale out quickly and reliably based on demand, not CPU alone. Which Auto Scaling approach best matches this requirement?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use target tracking scaling based on ALB request count per target.
Target tracking scaling based on ALB request count per target directly aligns with the requirement to scale out based on demand (request queuing and latency) rather than CPU alone. This policy automatically adjusts the Auto Scaling group size to maintain a target value for the average number of requests per instance, which is a more reliable indicator of load for a stateless web API than CPU utilization.
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.
✗
Use a fixed-size Auto Scaling group and increase capacity manually once per hour.
Why it's wrong here
This is manual and slow, which can’t react to sudden traffic spikes effectively.
✓
Use target tracking scaling based on ALB request count per target.
Why this is correct
Target tracking can automatically adjust capacity using ALB load metrics and respond faster.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Scale based only on EC2 instance memory utilization, regardless of load.
Why it's wrong here
Memory utilization may not correlate with queueing or request latency, causing mismatched scaling.
✗
Use step scaling with a single threshold on average network-in bytes.
Why it's wrong here
Step scaling can work, but networking thresholds often lag behind request queuing and latency issues.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume CPU utilization is the best metric for all scaling scenarios, but for a stateless web API behind an ALB, request count per target is a more direct and reliable indicator of demand and latency issues.
Detailed technical explanation
How to think about this question
Target tracking scaling uses a predefined or custom metric (e.g., ALBRequestCountPerTarget) and automatically creates the necessary CloudWatch alarms and scaling policies to maintain the target value. Under the hood, it applies a proportional-integral-derivative (PID) control algorithm to smooth out scaling actions, preventing thrashing. In a real-world scenario, if the target is set to 1000 requests per target, the Auto Scaling group will add instances when the average exceeds that value, and remove them when it falls below, directly addressing the queuing and latency issue.
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.
TExam Day Tips
→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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Design High-Performing Architectures — This question tests Design High-Performing Architectures — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use target tracking scaling based on ALB request count per target. — Target tracking scaling based on ALB request count per target directly aligns with the requirement to scale out based on demand (request queuing and latency) rather than CPU alone. This policy automatically adjusts the Auto Scaling group size to maintain a target value for the average number of requests per instance, which is a more reliable indicator of load for a stateless web API than CPU utilization.
What should I do if I get this SAA-C03 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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This SAA-C03 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAA-C03 exam.
Question Discussion
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