The answer is to move the workload into a cluster placement group within a single Availability Zone. This configuration is correct because a cluster placement group is specifically designed for low latency and high throughput, placing all instances in the same AZ with non-blocking, dedicated 10 Gbps or 25 Gbps network connectivity between them, which minimizes the physical distance and network hops for inter-node traffic. On the SAA-C03 exam, this tests your understanding of placement group types and their use cases; a common trap is confusing a spread or partition placement group, which prioritize fault isolation over performance, with the cluster group that sacrifices resilience for speed. Remember that for tightly coupled, distributed workloads like HPC or data analytics, you must keep everything in one AZ to achieve the lowest possible network latency. A simple memory tip: think of a “cluster” as a tight-knit group in one room, not spread across a building—one AZ, one low-latency party.
SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Exhibit
Current deployment summary:
- 48 EC2 instances run a tightly coupled simulation engine.
- Instances are spread across us-east-1a and us-east-1b.
- Each worker exchanges small TCP messages every 5-10 ms with all other workers.
- Measured east-west RTT: 4.9 ms average, 17.2 ms p95.
- The application owner states that the workload can run in a single Availability Zone if that improves performance.
- No external clients access the cluster directly.
Based on the exhibit, what change should the team make to achieve the lowest possible network latency for the distributed workload?
Current deployment summary:
- 48 EC2 instances run a tightly coupled simulation engine.
- Instances are spread across us-east-1a and us-east-1b.
- Each worker exchanges small TCP messages every 5-10 ms with all other workers.
- Measured east-west RTT: 4.9 ms average, 17.2 ms p95.
- The application owner states that the workload can run in a single Availability Zone if that improves performance.
- No external clients access the cluster directly.
A
Place the instances in a spread placement group across multiple Availability Zones.
Why wrong: Spread placement groups are designed to reduce correlated failure risk, not to minimize latency between tightly coupled nodes. Spreading instances across Availability Zones also adds network distance and does not improve east-west communication. This would make the cluster more resilient in some cases, but it works against the stated performance goal.
B
Move the workload into a cluster placement group in one Availability Zone.
Cluster placement groups place instances physically close together inside one Availability Zone, which is the best AWS option for workloads that need low-latency, high-bandwidth communication between many nodes. The exhibit explicitly says the workload can run in a single AZ if performance improves. That makes cluster placement groups the right fit.
C
Add an Application Load Balancer in front of the workers to reduce inter-node latency.
Why wrong: An Application Load Balancer helps distribute client traffic to application targets, but it does not reduce latency between worker nodes that are already talking to each other directly. It would introduce another hop for incoming traffic and does nothing to change physical placement of the instances.
D
Increase the EC2 instance size while keeping the current multi-AZ layout.
Why wrong: Larger instances may improve CPU or memory headroom, but they do not solve the core issue shown in the exhibit: network latency between workers. The RTT problem is caused by placement and topology, not lack of compute capacity. Keeping the current AZ spread preserves the latency penalty.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Move the workload into a cluster placement group in one Availability Zone.
A cluster placement group provides the lowest possible network latency and highest throughput by placing all instances in a single Availability Zone with low-latency, non-blocking 10 Gbps or 25 Gbps network connectivity between them. This is ideal for tightly coupled, distributed workloads that require frequent inter-node communication, such as HPC or data analytics jobs.
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.
✗
Place the instances in a spread placement group across multiple Availability Zones.
Why it's wrong here
Spread placement groups are designed to reduce correlated failure risk, not to minimize latency between tightly coupled nodes. Spreading instances across Availability Zones also adds network distance and does not improve east-west communication. This would make the cluster more resilient in some cases, but it works against the stated performance goal.
✓
Move the workload into a cluster placement group in one Availability Zone.
Why this is correct
Cluster placement groups place instances physically close together inside one Availability Zone, which is the best AWS option for workloads that need low-latency, high-bandwidth communication between many nodes. The exhibit explicitly says the workload can run in a single AZ if performance improves. That makes cluster placement groups the right fit.
Related concept
Read the scenario before looking for a memorised answer.
✗
Add an Application Load Balancer in front of the workers to reduce inter-node latency.
Why it's wrong here
An Application Load Balancer helps distribute client traffic to application targets, but it does not reduce latency between worker nodes that are already talking to each other directly. It would introduce another hop for incoming traffic and does nothing to change physical placement of the instances.
✗
Increase the EC2 instance size while keeping the current multi-AZ layout.
Why it's wrong here
Larger instances may improve CPU or memory headroom, but they do not solve the core issue shown in the exhibit: network latency between workers. The RTT problem is caused by placement and topology, not lack of compute capacity. Keeping the current AZ spread preserves the latency penalty.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume multi-AZ is always better for high availability, but for latency-sensitive distributed workloads, a single-AZ cluster placement group is the correct choice to minimize inter-node latency, even though it sacrifices fault tolerance.
Trap categories for this question
Command / output trap
Larger instances may improve CPU or memory headroom, but they do not solve the core issue shown in the exhibit: network latency between workers. The RTT problem is caused by placement and topology, not lack of compute capacity. Keeping the current AZ spread preserves the latency penalty.
Detailed technical explanation
How to think about this question
Cluster placement groups use a single, low-latency network segment with full bisection bandwidth, enabling up to 10 Gbps for most instance types and 25 Gbps for instances with ENA and EFA support. The placement group ensures all instances are within the same 10 Gbps or 25 Gbps flow, avoiding the cross-AZ latency penalty (typically 1-2 ms additional round-trip time). In real-world HPC workloads like MPI-based simulations, this can reduce job completion times by 20-50% compared to multi-AZ deployments.
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: Move the workload into a cluster placement group in one Availability Zone. — A cluster placement group provides the lowest possible network latency and highest throughput by placing all instances in a single Availability Zone with low-latency, non-blocking 10 Gbps or 25 Gbps network connectivity between them. This is ideal for tightly coupled, distributed workloads that require frequent inter-node communication, such as HPC or data analytics jobs.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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