The answer is to increase the desired capacity of the Auto Scaling group or add scaling policies, because a frequently high SurgeQueueLength metric indicates that the targets are not able to handle the request rate. This metric measures the number of requests queued by the Application Load Balancer when no healthy target is available, meaning your EC2 instances are overwhelmed and requests are backing up. On the AWS Certified SysOps Administrator Associate SOA-C02 exam, this concept tests your ability to interpret ALB performance metrics and link them to Auto Scaling remediation. A common trap is confusing SurgeQueueLength with latency or HTTP error metrics—remember, this is a capacity issue, not a performance issue. The best fix is scaling out, not scaling up. Memory tip: "Surge means surge in traffic, so surge the fleet size."
SOA-C02 Monitoring, Logging, and Remediation Practice Question
This SOA-C02 practice question tests your understanding of monitoring, logging, and remediation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 SysOps administrator is managing a fleet of EC2 instances in an Auto Scaling group. The instances are behind an Application Load Balancer. The administrator notices that the 'SurgeQueueLength' metric for the ALB is frequently high. What does this indicate, and what is the BEST remediation action?
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
✓
The targets are not able to handle the request rate; increase the desired capacity or add scaling policies.
The SurgeQueueLength metric measures the number of requests that are queued by the Application Load Balancer (ALB) because no healthy target is available to process them. A frequently high value indicates that the targets (EC2 instances) are overwhelmed and cannot keep up with the incoming request rate. The best remediation is to increase the desired capacity of the Auto Scaling group or add scaling policies (e.g., based on SurgeQueueLength or RequestCountPerTarget) to automatically add more instances to handle the load.
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.
✗
The targets are unhealthy; decrease the desired capacity to reduce load.
Why it's wrong here
Decreasing capacity would make the problem worse.
✓
The targets are not able to handle the request rate; increase the desired capacity or add scaling policies.
Why this is correct
High SurgeQueueLength indicates requests are waiting for targets to become available.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The load balancer is accepting too many connections; increase the idle timeout.
Why it's wrong here
Idle timeout affects persistent connections, not request queueing.
✗
The load balancer is overloaded; replace it with a Network Load Balancer.
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse SurgeQueueLength with connection-level metrics (like idle timeout) or assume the load balancer itself is the bottleneck, when in fact the metric directly indicates insufficient target capacity.
Detailed technical explanation
How to think about this question
The SurgeQueueLength metric is emitted by the ALB when it cannot immediately route a request to a healthy target due to all targets being at capacity or unhealthy. The ALB queues requests up to a maximum of 1024 per second per node; if the queue exceeds this, the ALB starts returning 503 errors. In a real-world scenario, a sudden traffic spike (e.g., flash sale) can cause SurgeQueueLength to spike, and relying solely on static desired capacity will fail—dynamic scaling policies based on this metric or on 'RequestCountPerTarget' are essential for elasticity.
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
A healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
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.
Monitoring, Logging, and Remediation — This question tests Monitoring, Logging, and Remediation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The targets are not able to handle the request rate; increase the desired capacity or add scaling policies. — The SurgeQueueLength metric measures the number of requests that are queued by the Application Load Balancer (ALB) because no healthy target is available to process them. A frequently high value indicates that the targets (EC2 instances) are overwhelmed and cannot keep up with the incoming request rate. The best remediation is to increase the desired capacity of the Auto Scaling group or add scaling policies (e.g., based on SurgeQueueLength or RequestCountPerTarget) to automatically add more instances to handle the load.
What should I do if I get this SOA-C02 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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Question Discussion
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