The answer is AWS Batch, as it is the only AWS compute service purpose-built for running batch processing jobs that require specific compute resources and can run for hours or days without user interaction. AWS Batch dynamically provisions the optimal quantity and type of compute resources—such as EC2 instances or Spot Instances—based on the volume and resource demands of each job, automatically scaling to handle long-running workloads. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your ability to distinguish between compute services: AWS Lambda is for short, event-driven tasks (max 15 minutes), while AWS Batch is for extended batch processing. A common trap is confusing AWS Batch with Amazon ECS or EKS, but those are container orchestrators, not batch job schedulers. Remember the memory tip: “Batch for the long haul, Lambda for the quick call.”
CLF-C02 Cloud Technology and Services Practice Question
This CLF-C02 practice question tests your understanding of cloud technology and 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.
Which AWS compute service is best suited for running batch processing jobs that require specific compute resources and can run for hours or days without user interaction?
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.
Why wrong: Lambda functions have a maximum runtime of 15 minutes — they're not suitable for batch jobs running hours or days.
B
Amazon EC2 with manual provisioning
Why wrong: Manual EC2 provisioning for batch jobs requires managing job scheduling, queue management, and instance lifecycle — AWS Batch automates all of this.
C
AWS Batch
AWS Batch manages job queues, schedules jobs, provisions appropriate EC2 or Spot Instances, and terminates resources when done — ideal for long-running batch processing.
D
Amazon ECS with Fargate
Why wrong: ECS with Fargate can run batch jobs but requires more configuration for job scheduling and queue management that AWS Batch handles natively.
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 purpose-built for running batch computing workloads that can run for extended durations without user interaction. It dynamically provisions the optimal quantity and type of compute resources (e.g., EC2 instances or Spot Instances) based on the volume and specific resource requirements of the submitted jobs, making it ideal for hours- or days-long batch processing.
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
Lambda functions have a maximum runtime of 15 minutes — they're not suitable for batch jobs running hours or days.
✗
Amazon EC2 with manual provisioning
Why it's wrong here
Manual EC2 provisioning for batch jobs requires managing job scheduling, queue management, and instance lifecycle — AWS Batch automates all of this.
✓
AWS Batch
Why this is correct
AWS Batch manages job queues, schedules jobs, provisions appropriate EC2 or Spot Instances, and terminates resources when done — ideal for long-running batch processing.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon ECS with Fargate
Why it's wrong here
ECS with Fargate can run batch jobs but requires more configuration for job scheduling and queue management that AWS Batch handles natively.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse AWS Lambda's serverless model with batch processing, overlooking Lambda's hard 15-minute timeout and lack of support for long-running, resource-intensive workloads.
Detailed technical explanation
How to think about this question
AWS Batch uses a managed compute environment that can automatically launch EC2 instances (including Spot Instances for cost savings) and scale them based on the number of queued jobs. It integrates with Amazon CloudWatch Events to trigger job submissions and with Amazon S3 for input/output data, and it supports job dependencies and array jobs for parallel processing. In a real-world scenario, a genomics company might use AWS Batch to run DNA sequencing analysis jobs that each require 32 vCPUs and 128 GB of memory for 12 hours, with the service automatically provisioning the right instance types and handling retries on failure.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this CLF-C02 question in full detail.
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 purpose-built for running batch computing workloads that can run for extended durations without user interaction. It dynamically provisions the optimal quantity and type of compute resources (e.g., EC2 instances or Spot Instances) based on the volume and specific resource requirements of the submitted jobs, making it ideal for hours- or days-long batch processing.
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: "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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