- A
Cluster placement group
Cluster PGs place instances physically close together in a single AZ for lowest latency and highest throughput. They support EFA for MPI-level performance — the standard HPC choice.
- B
Partition placement group
Why wrong: Partition PGs distribute instances across separate hardware racks to reduce rack-failure impact. This increases inter-node distance and latency. Designed for distributed databases (Hadoop, Kafka), not tightly coupled HPC.
- C
Spread placement group
Why wrong: Spread PGs place each instance on distinct hardware racks for maximum isolation. This increases inter-node distance — the opposite of what HPC requiring low latency needs.
- D
No placement group — use Auto Scaling across multiple AZs
Why wrong: Cross-AZ Auto Scaling distributes instances for availability but increases inter-node latency. HPC requiring sub-microsecond inter-node communication needs all instances in one AZ within a Cluster PG.
Quick Answer
The answer is the cluster placement group, as it is the only placement group type designed to achieve the lowest possible network latency and highest throughput for tightly coupled HPC workloads. By packing all 16 EC2 instances physically close together within a single Availability Zone, a cluster placement group minimizes the physical distance data must travel between nodes, which is critical for MPI-based parallel computations that require constant, rapid inter-node communication. On the SAA-C03 exam, this question tests your understanding of placement group trade-offs: spread and partition groups prioritize fault isolation, while the cluster group sacrifices fault tolerance for performance. A common trap is confusing a cluster group with a spread group—remember that cluster means “clump for speed,” not “spread for safety.” For a memory tip, think of a “cluster” as a tight huddle of servers, like runners in a pack, ensuring the fastest handoff of data between them.
SAA-C03 Practice Question: Cluster placement groups provide the lowest…
This SAA-C03 practice question tests your understanding of design high-performing architectures. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI. 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 is deploying a high-performance computing (HPC) cluster with 16 EC2 instances. The workload requires the lowest possible network latency and highest throughput between all nodes for tightly coupled parallel MPI computations. Which EC2 placement group type should a solutions architect recommend?
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
Cluster placement group
Cluster placement groups pack instances physically close together within a single Availability Zone, providing the lowest possible network latency and highest network throughput between instances. They support enhanced networking (SR-IOV) and Elastic Fabric Adapter (EFA) for inter-node MPI communication. Tightly coupled parallel HPC workloads require all nodes to communicate frequently with minimal latency. Cluster placement groups are specifically designed for this use case. The trade-off is all instances are in one AZ — if the AZ fails, the entire cluster is affected.
Key principle: Cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Cluster placement group
Why this is correct
Cluster PGs place instances physically close together in a single AZ for lowest latency and highest throughput. They support EFA for MPI-level performance — the standard HPC choice.
Related concept
Cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI
- ✗
Partition placement group
Why it's wrong here
Partition PGs distribute instances across separate hardware racks to reduce rack-failure impact. This increases inter-node distance and latency. Designed for distributed databases (Hadoop, Kafka), not tightly coupled HPC.
- ✗
Spread placement group
Why it's wrong here
Spread PGs place each instance on distinct hardware racks for maximum isolation. This increases inter-node distance — the opposite of what HPC requiring low latency needs.
- ✗
No placement group — use Auto Scaling across multiple AZs
Why it's wrong here
Cross-AZ Auto Scaling distributes instances for availability but increases inter-node latency. HPC requiring sub-microsecond inter-node communication needs all instances in one AZ within a Cluster PG.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Spread and Partition placement groups improve availability by distributing instances across racks or partitions — they intentionally increase inter-node distance, which increases latency. For HPC requiring sub-microsecond inter-node communication, low latency trumps availability. Cluster PG = maximum performance in one AZ. Spread PG = maximum isolation across racks.
Detailed technical explanation
How to think about this question
EC2 Placement Group types: - Cluster: Single AZ, same rack. Use for HPC, MPI, lowest latency, highest throughput. Supports EFA. - Partition: Multiple partitions, each isolated on separate racks. Use for HDFS, Cassandra, Kafka. Up to 7 partitions per AZ. - Spread: Each instance on distinct hardware rack. Use for small critical instances needing maximum HA. Up to 7 per AZ. Elastic Fabric Adapter (EFA) + Cluster PG: EFA provides OS-bypass networking for inter-node communication, achieving MPI-level performance. EFA is only beneficial within a Cluster placement group where physical proximity is guaranteed. Capacity risk: Cluster PGs require capacity on the same physical hardware. Launch all instances in one request to maximize the probability of successful placement.
KKey Concepts to Remember
- Cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI
- Cluster PGs confine all instances to a single Availability Zone
- Elastic Fabric Adapter (EFA) enables OS-bypass networking for MPI — requires Cluster PG
- Spread PGs maximize availability by placing each instance on distinct hardware racks
- Partition PGs are designed for large-scale distributed databases, not tightly coupled HPC
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
Cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI
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
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design High-Performing Architectures — This question tests Design High-Performing Architectures — Cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI.
What is the correct answer to this question?
The correct answer is: Cluster placement group — Cluster placement groups pack instances physically close together within a single Availability Zone, providing the lowest possible network latency and highest network throughput between instances. They support enhanced networking (SR-IOV) and Elastic Fabric Adapter (EFA) for inter-node MPI communication. Tightly coupled parallel HPC workloads require all nodes to communicate frequently with minimal latency. Cluster placement groups are specifically designed for this use case. The trade-off is all instances are in one AZ — if the AZ fails, the entire cluster is affected.
What should I do if I get this SAA-C03 question wrong?
Review cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI, then practise related SAA-C03 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Cluster placement groups provide the lowest latency and highest throughput — required for HPC and MPI
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Last reviewed: May 17, 2026
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