SAP-C02 Practice Question: Accelerate Workload Migration and Modernization
A company is migrating a batch processing workload to AWS. The workload runs on a scheduled basis and processes large files from an on-premises NFS share. The company wants to use AWS services to replace the on-premises server and minimize operational overhead. Which solution is MOST suitable?
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
✓
Mount the on-premises NFS share to Amazon EFS using AWS Direct Connect, and use AWS Batch with AWS Fargate to process the files.
AWS Batch with AWS Fargate is a serverless compute service that integrates with Amazon EFS. By mounting the on-premises NFS share to EFS via AWS Direct Connect, files are accessible in AWS without copying. AWS Batch can then process the files on a scheduled basis, minimizing operational overhead. Option A is wrong because AWS Lambda has execution time and file size limits, and directly reading from NFS over VPN may be unreliable. Option C is wrong because Snowball Edge is a one-time transfer tool, not suitable for ongoing scheduled processing. Option D is wrong because while DataSync can copy files to S3, triggering Lambda has similar limitations, and using EC2 adds management overhead.
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 AWS Lambda to directly read from the NFS share over VPN and process the files.
Why it's wrong here
Lambda has time and size limits; not ideal for large batch jobs.
- ✓
Mount the on-premises NFS share to Amazon EFS using AWS Direct Connect, and use AWS Batch with AWS Fargate to process the files.
Why this is correct
Serverless, scheduled processing with minimal overhead.
- ✗
Use AWS Snowball Edge to transfer files to Amazon S3 and then process with EC2 instances.
Why it's wrong here
Not suitable for ongoing scheduled processing; manual.
- ✗
Use AWS DataSync to copy files to Amazon S3 and trigger an AWS Lambda function to process.
Why it's wrong here
Lambda may not be suitable for large file processing due to limitations.
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 |
Go deeper
Related to this question
About these practice questions
Courseiva writes every SAP-C02 question from scratch — 1,660 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SAP-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 SAP-C02 exam.