← CLF-C02·Amazon Web Services

Question 48 of 1,024

Cloud Technology and Services →mediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is AWS Batch, the correct choice for batch processing jobs that need automated retry and minimal operational overhead. AWS Batch is purpose-built for batch computing workloads that run to completion without user interaction, automatically provisioning compute resources like EC2 instances or Fargate, scaling them to zero when idle, and offering built-in retry logic for failed tasks. This directly matches the scenario of a monthly 3-hour job that must pay only for compute time used and handle failures automatically. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your understanding of managed compute services versus manual EC2 management; a common trap is choosing AWS Lambda, but Lambda has a 15-minute execution limit, making it unsuitable for long-running batch jobs. Remember the memory tip: “Batch is for batch—long, unattended, and auto-retried.”

CLF-C02 Cloud Technology and Services Practice Question

This CLF-C02 practice question tests your understanding of cloud technology and services. 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 data processing job once per month. The job takes approximately 3 hours to complete when run on a single server. The company wants to minimize operational overhead and pay only for the compute time used during the job. The job does not require user interaction and must be able to automatically retry if a task fails. Which AWS service should the company use?

Clue words in this question

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

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

Full question →

A
AWS Lambda
Why wrong: Incorrect. AWS Lambda has a maximum execution timeout of 15 minutes per invocation, so it cannot handle a 3-hour batch job. Additionally, Lambda is event-driven and designed for short-running functions, not long-running batch processing.
B
AWS Batch
Correct. AWS Batch is a fully managed service that enables you to run batch computing workloads of any scale. It automatically provisions compute resources (e.g., Amazon EC2 instances or AWS Fargate), schedules jobs, and retries failed tasks. You only pay for the compute resources consumed, and there is no need to manage underlying servers.
C
Amazon EC2
Why wrong: Incorrect. Running the job on Amazon EC2 would require you to launch and manage an instance, install the necessary software, and ensure the instance is running only during the job. You would need to start and stop the instance manually or set up automation. This approach incurs operational overhead and risk of paying for idle time if the instance is not terminated promptly.
D
AWS Elastic Beanstalk
Why wrong: Incorrect. AWS Elastic Beanstalk is a platform-as-a-service (PaaS) used to deploy and scale web applications and services. It is not designed for running batch jobs. Elastic Beanstalk manages capacity provisioning, load balancing, and auto-scaling for web applications, but it does not provide job scheduling or retry logic needed for batch processing.

Full breakdown with real-world context →

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

✓

AWS Batch

AWS Batch is designed for batch computing workloads that run to completion without user interaction. It automatically provisions the necessary compute resources (e.g., EC2 instances or Fargate), scales them to zero when idle, and provides built-in retry logic for failed tasks. This matches the requirement of a monthly 3-hour job with minimal operational overhead and pay-per-use billing.

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.

✗
AWS Lambda
Why it's wrong here
Incorrect. AWS Lambda has a maximum execution timeout of 15 minutes per invocation, so it cannot handle a 3-hour batch job. Additionally, Lambda is event-driven and designed for short-running functions, not long-running batch processing.
✓
AWS Batch
Why this is correct
Correct. AWS Batch is a fully managed service that enables you to run batch computing workloads of any scale. It automatically provisions compute resources (e.g., Amazon EC2 instances or AWS Fargate), schedules jobs, and retries failed tasks. You only pay for the compute resources consumed, and there is no need to manage underlying servers.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon EC2
Why it's wrong here
Incorrect. Running the job on Amazon EC2 would require you to launch and manage an instance, install the necessary software, and ensure the instance is running only during the job. You would need to start and stop the instance manually or set up automation. This approach incurs operational overhead and risk of paying for idle time if the instance is not terminated promptly.
✗
AWS Elastic Beanstalk
Why it's wrong here
Incorrect. AWS Elastic Beanstalk is a platform-as-a-service (PaaS) used to deploy and scale web applications and services. It is not designed for running batch jobs. Elastic Beanstalk manages capacity provisioning, load balancing, and auto-scaling for web applications, but it does not provide job scheduling or retry logic needed for batch processing.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may choose AWS Lambda for its serverless and pay-per-use model, overlooking the hard 15-minute execution limit that makes it unsuitable for long-running batch jobs.

Detailed technical explanation

How to think about this question

AWS Batch uses a job queue and a compute environment to schedule and execute containerized batch jobs. It integrates with Amazon CloudWatch Events to trigger jobs on a schedule (e.g., monthly) and supports retry strategies via the `retryStrategy` parameter, which can specify the number of retries and the conditions (e.g., exit codes) that trigger them. Under the hood, AWS Batch can use either EC2 Spot Instances for cost savings or AWS Fargate for serverless compute, automatically scaling the environment to zero when no jobs are pending.

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.

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.

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FAQ

Questions learners often ask

What does this CLF-C02 question test?

Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: AWS Batch — AWS Batch is designed for batch computing workloads that run to completion without user interaction. It automatically provisions the necessary compute resources (e.g., EC2 instances or Fargate), scales them to zero when idle, and provides built-in retry logic for failed tasks. This matches the requirement of a monthly 3-hour job with minimal operational overhead and pay-per-use billing.

What should I do if I get this CLF-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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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This CLF-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 CLF-C02 exam.