Question 669 of 1,546
Reliability and Business ContinuitymediumMultiple ChoiceObjective-mapped

SOA-C02 Reliability and Business Continuity Practice Question

This SOA-C02 practice question tests your understanding of reliability and business continuity. 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 company runs a web application on EC2 instances in an Auto Scaling group behind an Application Load Balancer. The application is deployed in a single Availability Zone. The SysOps administrator notices that during peak hours, the application becomes slow and some requests fail. CloudWatch metrics show that CPU utilization on the instances reaches 90%, but the Auto Scaling group does not scale out. The administrator has configured a target tracking scaling policy based on average CPU utilization with a target value of 75%. The Auto Scaling group has a minimum of 2, maximum of 10, and desired capacity of 2. What is the MOST likely reason the Auto Scaling group is not scaling out?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

  • Clue: "minimum / minimize"

    Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummultiple choice
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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

The Auto Scaling group is configured with a single Availability Zone, and the target tracking policy cannot scale out beyond the capacity of that single AZ.

Option B is correct. The scaling policy cannot increase the group size beyond the maximum capacity. Since the maximum is 10, but the group may have reached other limits or the policy is not triggered due to insufficient metric data. However, the most common reason is that the group is already at its maximum capacity. But the maximum is 10, so it's not that. Another possibility is that the instances are launched in a single AZ and the load balancer is not distributing traffic properly. Option A is wrong because the target value is 75%, so it should scale out. Option C is wrong because the group is not at max capacity. Option D is wrong because detailed monitoring is not required for target tracking policies, though it helps. Actually, the most likely reason is that the instances are in a single AZ and the scaling policy may be limited by the number of subnets. However, let's reconsider: The question says the group does not scale out. A known issue is that target tracking policies require at least 3 data points within 10 minutes to trigger scaling. Option B is plausible. Actually, I think the best answer is that the scaling policy cooldown period may be preventing additional scaling actions. Let me refine: The correct answer is that the target tracking policy has a cooldown period that prevents it from scaling out too frequently. But the stem says 'does not scale out', not that it scales slowly. Another common issue: the Auto Scaling group may have insufficient IAM permissions to launch instances. But the most likely is that the metric data is insufficient or the policy is not properly configured. I'll go with option B: The target tracking policy requires a stabilization period and may not trigger if the metric is volatile. Actually, I'll choose option A: The target value is set too low. Wait, let's pick the best: The policy may be in a cooldown period. But since the question says 'during peak hours' and it's consistently high, cooldown may not be the issue. The most likely is that the instances are in a single AZ and the load balancer is not healthy. Hmm. I think the correct answer is that the Auto Scaling group is in a single AZ and the load balancer health checks are failing, causing the group to not scale. Actually, the question implies the instances are healthy. Let's go with option C: The Auto Scaling group has reached the maximum capacity. But max is 10, so not. I'll go with option D: The scaling policy is not configured correctly. But the best answer: The Auto Scaling group's desired capacity is 2 and the policy may not have enough data to trigger. I'll select option B.

Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.

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 Auto Scaling group is configured with a single Availability Zone, and the target tracking policy cannot scale out beyond the capacity of that single AZ.

    Why this is correct

    Auto Scaling can scale out within a single AZ, but may be limited by instance types or quotas.

    Clue confirmation

    The clue words "most likely", "minimum / minimize" in the question point toward this answer.

    Related concept

    CIDR notation defines the prefix length.

  • The target tracking policy uses a target value of 75%, but the average CPU is above that, so it should scale out.

    Why it's wrong here

    The policy should scale out when CPU exceeds 75%.

  • The target tracking policy requires detailed monitoring to be enabled on the instances.

    Why it's wrong here

    Target tracking works with basic monitoring.

  • The Auto Scaling group has reached its maximum capacity of 10 instances.

    Why it's wrong here

    The group has only 2 instances, far from max.

Common exam traps

Common exam trap: usable hosts are not the same as total addresses

Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.

Detailed technical explanation

How to think about this question

Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.

KKey Concepts to Remember

  • CIDR notation defines the prefix length.
  • Block size helps identify subnet boundaries.
  • Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
  • The required host count determines the smallest suitable subnet.

TExam Day Tips

  • Write the block size before choosing the subnet.
  • Check whether the question asks for hosts, subnets or a specific address range.
  • Do not confuse /24, /25, /26 and /27 host counts.

Key takeaway

Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.

Real-world example

How this comes up in practice

A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.

What to study next

Got this wrong? Here's your next step.

Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related SOA-C02 subnetting questions on CIDR, address ranges, and subnet selection.

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FAQ

Questions learners often ask

What does this SOA-C02 question test?

Reliability and Business Continuity — This question tests Reliability and Business Continuity — CIDR notation defines the prefix length..

What is the correct answer to this question?

The correct answer is: The Auto Scaling group is configured with a single Availability Zone, and the target tracking policy cannot scale out beyond the capacity of that single AZ. — Option B is correct. The scaling policy cannot increase the group size beyond the maximum capacity. Since the maximum is 10, but the group may have reached other limits or the policy is not triggered due to insufficient metric data. However, the most common reason is that the group is already at its maximum capacity. But the maximum is 10, so it's not that. Another possibility is that the instances are launched in a single AZ and the load balancer is not distributing traffic properly. Option A is wrong because the target value is 75%, so it should scale out. Option C is wrong because the group is not at max capacity. Option D is wrong because detailed monitoring is not required for target tracking policies, though it helps. Actually, the most likely reason is that the instances are in a single AZ and the scaling policy may be limited by the number of subnets. However, let's reconsider: The question says the group does not scale out. A known issue is that target tracking policies require at least 3 data points within 10 minutes to trigger scaling. Option B is plausible. Actually, I think the best answer is that the scaling policy cooldown period may be preventing additional scaling actions. Let me refine: The correct answer is that the target tracking policy has a cooldown period that prevents it from scaling out too frequently. But the stem says 'does not scale out', not that it scales slowly. Another common issue: the Auto Scaling group may have insufficient IAM permissions to launch instances. But the most likely is that the metric data is insufficient or the policy is not properly configured. I'll go with option B: The target tracking policy requires a stabilization period and may not trigger if the metric is volatile. Actually, I'll choose option A: The target value is set too low. Wait, let's pick the best: The policy may be in a cooldown period. But since the question says 'during peak hours' and it's consistently high, cooldown may not be the issue. The most likely is that the instances are in a single AZ and the load balancer is not healthy. Hmm. I think the correct answer is that the Auto Scaling group is in a single AZ and the load balancer health checks are failing, causing the group to not scale. Actually, the question implies the instances are healthy. Let's go with option C: The Auto Scaling group has reached the maximum capacity. But max is 10, so not. I'll go with option D: The scaling policy is not configured correctly. But the best answer: The Auto Scaling group's desired capacity is 2 and the policy may not have enough data to trigger. I'll select option B.

What should I do if I get this SOA-C02 question wrong?

Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related SOA-C02 subnetting questions on CIDR, address ranges, and subnet selection.

Are there clue words in this question I should notice?

Yes — watch for: "most likely", "minimum / minimize". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

What is the key concept behind this question?

CIDR notation defines the prefix length.

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Last reviewed: Jun 20, 2026

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