- A
Configure the ECS service to automatically restart failed tasks.
Service auto-restart replaces failed tasks.
- B
Place tasks across multiple Availability Zones.
Multi-AZ placement ensures availability during AZ failures.
- C
Use an Application Load Balancer with health checks.
ALB health checks ensure traffic only goes to healthy tasks.
- D
Set up a CloudWatch alarm to trigger AWS Lambda to restart tasks.
Why wrong: ECS service auto-restart already handles this; additional Lambda is unnecessary.
- E
Configure an EC2 Auto Scaling group for the ECS cluster.
Why wrong: Fargate tasks do not require EC2 instances; Auto Scaling is not applicable.
Question 477 of 1,750
Configuring ECS Service for Automatic Task Restart and Multi-AZ Resilience
This DOP-C02 practice question tests your understanding of resilient cloud solutions. 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 uses Amazon ECS with Fargate for containerized applications. They need to ensure that if a task fails, it is automatically restarted and the application remains available. Which THREE actions should they take? (Choose THREE.)
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
✓
Configure the ECS service to automatically restart failed tasks.
Option A is correct because Amazon ECS services can be configured with a desired task count and a task placement strategy that automatically replaces any failed or stopped tasks. When a task exits unexpectedly, the ECS service scheduler detects the discrepancy between the desired and running count and launches a new task to maintain availability. This is the native mechanism for self-healing in ECS, without requiring external triggers.
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.
- ✓
Configure the ECS service to automatically restart failed tasks.
Why this is correct
Service auto-restart replaces failed tasks.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Place tasks across multiple Availability Zones.
Why this is correct
Multi-AZ placement ensures availability during AZ failures.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use an Application Load Balancer with health checks.
Why this is correct
ALB health checks ensure traffic only goes to healthy tasks.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set up a CloudWatch alarm to trigger AWS Lambda to restart tasks.
Why it's wrong here
ECS service auto-restart already handles this; additional Lambda is unnecessary.
- ✗
Configure an EC2 Auto Scaling group for the ECS cluster.
Why it's wrong here
Fargate tasks do not require EC2 instances; Auto Scaling is not applicable.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often over-engineer the solution by adding CloudWatch and Lambda (Option D) or confuse EC2 Auto Scaling (Option E) with task-level recovery, when the native ECS service configuration already handles automatic restarts.
Detailed technical explanation
How to think about this question
Under the hood, the ECS service scheduler uses the Amazon ECS Task State Change events and the desired count reconciliation loop to ensure the number of running tasks matches the configured value. When a task fails, the service’s deployment circuit breaker can also be configured to roll back unhealthy deployments. In a real-world scenario, combining service auto-restart with multi-AZ placement and ALB health checks ensures that even if an entire AZ fails, the ALB stops routing traffic to unhealthy tasks and the service launches replacements in healthy AZs.
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
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FAQ
Questions learners often ask
What does this DOP-C02 question test?
Resilient Cloud Solutions — This question tests Resilient Cloud Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure the ECS service to automatically restart failed tasks. — Option A is correct because Amazon ECS services can be configured with a desired task count and a task placement strategy that automatically replaces any failed or stopped tasks. When a task exits unexpectedly, the ECS service scheduler detects the discrepancy between the desired and running count and launches a new task to maintain availability. This is the native mechanism for self-healing in ECS, without requiring external triggers.
What should I do if I get this DOP-C02 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on DOP-C02
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company runs a critical microservices architecture on Amazon ECS with Fargate. They want to ensure that if a task fails, it is automatically restarted, and the service remains available across multiple Availability Zones. How should they configure the ECS service?
hard- A.Place all tasks in the same Availability Zone to reduce latency
- B.Run a standalone Fargate task and use a CloudWatch alarm to restart it
- C.Use an EC2 launch type with a single instance to reduce complexity
- ✓ D.Define an ECS service with a task definition, set desired count across multiple Availability Zones, and use Service Auto Scaling
Why D: Option D is correct because an ECS service configured with a task definition, desired count across multiple Availability Zones, and Service Auto Scaling ensures resilience. The ECS service scheduler automatically restarts failed tasks, and distributing tasks across AZs provides high availability. Option A is wrong because placing all tasks in a single AZ creates a single point of failure. Option B is wrong because a standalone Fargate task does not have automatic restart; a CloudWatch alarm can restart it but lacks the built-in resilience of an ECS service. Option C is wrong because using a single EC2 instance is a single point of failure and does not provide multi-AZ resilience.
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Last reviewed: Jul 4, 2026
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