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CV0-004 Deployment Practice Question

A cloud engineer is deploying a serverless application that processes images uploaded to an object storage bucket. The application must automatically resize each image and store the resized version in a second bucket. The engineer wants to minimize operational overhead and ensure the processing runs only when new images are added. Which AWS service should the engineer use to trigger the processing?

⚠ Common exam trap

The trap here is assuming that any compute service can be triggered by S3 events, when actually only AWS Lambda provides native, direct event integration with S3 without additional infrastructure.

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 Lambda with an S3 event trigger

AWS Lambda with an S3 event trigger is the correct choice because it directly responds to object creation events in Amazon S3 without requiring any server management. The integration is native, so the function runs only when new images are uploaded, aligning with the need for minimal operational overhead and automatic processing. Other options involve more management or are not event-driven.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Amazon EC2 Auto Scaling group with a custom application

    Why it's wrong here

    Using EC2 instances with an Auto Scaling group requires provisioning and managing servers, patching the OS, and writing code to poll for new objects. This increases operational overhead and does not provide native event integration, making it unsuitable for a low-maintenance, event-driven image processing solution.

  • ✗

    AWS Batch with a job queue

    Why it's wrong here

    AWS Batch is designed for batch computing workloads that run on managed compute environments, not for real-time event-driven processing of individual object uploads. It requires configuring job definitions and queues, adding operational overhead and latency, which does not meet the need for immediate, automatic image resizing.

  • ✓

    AWS Lambda with an S3 event trigger

    Why this is correct

    AWS Lambda natively integrates with Amazon S3 events, allowing the function to execute automatically when an object is created. This serverless approach eliminates server management and scales with the number of uploads, matching the requirement for minimal operational overhead and event-driven processing.

  • ✗

    AWS Step Functions with a polling loop

    Why it's wrong here

    Step Functions can orchestrate workflows, but using a polling loop to check for new S3 objects introduces delay and unnecessary complexity. It does not provide native event triggers and would require additional components to detect uploads, failing to meet the requirement for automatic and immediate processing.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official CompTIA exam blueprint

This CV0-004 practice question is part of Courseiva's free CompTIA 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 CV0-004 exam.