- A
Use an AWS Lambda function to run the job and configure a scheduled event in Amazon EventBridge.
Why wrong: Lambda has a 15-minute execution limit, insufficient for 30-minute jobs.
- B
Use AWS Batch with a Fargate launch type and schedule the job with Amazon EventBridge.
AWS Batch runs the job and scales resources to zero when idle.
- C
Use Amazon ECS Service Auto Scaling to scale the service down to zero tasks when not in use.
Why wrong: Service Auto Scaling cannot scale to zero tasks; minimum is 1.
- D
Use an Amazon EC2 Auto Scaling group to launch an instance, run the job, and then terminate.
Why wrong: This is for EC2, not Fargate, and adds overhead.
Question 629 of 1,616
Cost Optimization for Batch Processing with AWS Batch and Fargate
This DVA-C02 practice question tests your understanding of development with aws services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 batch processing job on Amazon ECS using Fargate. The job processes files from an S3 bucket and writes results to another S3 bucket. The job runs once per day and takes about 30 minutes. The company wants to reduce costs by stopping the ECS service when not in use. Which solution should the developer implement?
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
✓
Use AWS Batch with a Fargate launch type and schedule the job with Amazon EventBridge.
AWS Batch with a Fargate launch type is the ideal solution because it is purpose-built for batch processing jobs that run to completion. By scheduling the job with Amazon EventBridge, you can trigger the job once per day, and AWS Batch automatically provisions the Fargate compute environment only when the job runs, then scales down to zero after completion—eliminating costs during idle periods. This approach directly addresses the requirement to reduce costs by stopping the ECS service when not in use, without manual intervention.
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.
- ✗
Use an AWS Lambda function to run the job and configure a scheduled event in Amazon EventBridge.
Why it's wrong here
Lambda has a 15-minute execution limit, insufficient for 30-minute jobs.
- ✓
Use AWS Batch with a Fargate launch type and schedule the job with Amazon EventBridge.
Why this is correct
AWS Batch runs the job and scales resources to zero when idle.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Amazon ECS Service Auto Scaling to scale the service down to zero tasks when not in use.
Why it's wrong here
Service Auto Scaling cannot scale to zero tasks; minimum is 1.
- ✗
Use an Amazon EC2 Auto Scaling group to launch an instance, run the job, and then terminate.
Why it's wrong here
This is for EC2, not Fargate, and adds overhead.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse ECS Service Auto Scaling with AWS Batch's job-based scaling; while ECS can scale to zero tasks, it does not automatically manage job completion and termination, leading to residual costs and complexity, whereas AWS Batch is designed for exactly this use case.
Detailed technical explanation
How to think about this question
AWS Batch with Fargate uses a managed compute environment that dynamically provisions and deprovisions Fargate tasks based on job queue depth. When you schedule a job via EventBridge, AWS Batch creates a job definition that specifies the container image, resource requirements, and environment variables, and the job runs as a Fargate task that is automatically terminated upon completion. Under the hood, AWS Batch leverages the ECS task lifecycle, but it adds job-level retry logic, dependency management, and array job support, making it more robust than a standalone ECS service for batch workloads.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Development with AWS Services — This question tests Development with AWS Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use AWS Batch with a Fargate launch type and schedule the job with Amazon EventBridge. — AWS Batch with a Fargate launch type is the ideal solution because it is purpose-built for batch processing jobs that run to completion. By scheduling the job with Amazon EventBridge, you can trigger the job once per day, and AWS Batch automatically provisions the Fargate compute environment only when the job runs, then scales down to zero after completion—eliminating costs during idle periods. This approach directly addresses the requirement to reduce costs by stopping the ECS service when not in use, without manual intervention.
What should I do if I get this DVA-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.
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Last reviewed: Jul 4, 2026
This DVA-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DVA-C02 exam.
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