AIF-C01 Practice Question 65: Legacy Workload Modernization

AWS Certified AI Practitioner (AIF-C01) · Test 7 · question 5 of 10

Fundamentals of GenAIeasy

A bank still runs its core application in COBOL on an IBM z/OS mainframe, alongside a large estate of legacy .NET Framework applications on Windows servers. It wants AI agents to handle the discovery, dependency analysis, planning and code conversion needed to move these workloads to AWS, rather than staffing that analysis by hand. Which AWS service is purpose-built for this?

Show answer and explanation

Answer:

B. AWS Transform

AWS Transform *helps you accelerate and simplify the transformation of infrastructure, applications, and code with an agentic AI experience*. AWS lists exactly these workloads: modernise and migrate IBM z/OS and Fujitsu GS21, migrate VMware and Hyper-V server estates to Amazon EC2, and modernise .NET applications to Linux-ready cross-platform .NET. The service exists to *offload labor-intensive, complex transformation tasks across the discovery, planning, and execution phases to AI agents* (option B).

- A is wrong because Amazon Bedrock AgentCore is the runtime and platform for hosting and securing agents you build. It gives you somewhere to run an agent; it does not arrive knowing COBOL, JCL or the .NET Framework. - C is wrong because Amazon SageMaker AI is for building, training, tuning and deploying machine learning models. Nothing in a mainframe migration is an ML training problem. - D is wrong because Kiro is an agentic IDE aimed at a developer writing new software with a spec-driven workflow. It helps one engineer at the keyboard rather than planning and executing a portfolio-scale migration.

Reference: What is AWS Transform?

Practice Test 7 ›

Study guides for AIF-C01

AI engineer roadmap 2026: skills, certs and the orderAI engineer roadmap for 2026: skills to learn in order, AI engineer vs ML engineer, which certifications fit each stage, and what to skip.

How AI Is Changing Software Jobs: Where to PrepareHow AI is changing software jobs: what history shows, the evidence on junior developers, what Klarna learned, new AI roles and five domains to prepare for.

How AWS Certification Exams Work: Scoring and RenewalHow AWS certification exams work: levels, booking, question types, unscored questions, scaled scores, pass marks, validity and how recertification works.

What Is Amazon Bedrock? Models, Pricing and GuardrailsWhat is Amazon Bedrock? How a request reaches a model, what happens to your data, token pricing, Guardrails, Knowledge Bases, AgentCore and the exam traps.

Google Cloud Generative AI Leader vs AWS AI PractitionerGoogle Cloud Generative AI Leader vs AWS AI Practitioner: format, cost, topics, free preparation and which certification to take first.

AWS certification cost in 2026, and free ways to prepareWhat every AWS certification costs in 2026 in USD and INR, retake and reschedule rules, the 50% voucher, and the free official ways to prepare.

AWS Generative AI Developer Professional (AIP-C01) guideWhat the AWS Certified Generative AI Developer – Professional (AIP-C01) exam covers - format, cost, the five domains, the services, and how to prepare.

Best AI certifications 2026: AWS, Google, Microsoft, ClaudeThe best AI certifications in 2026 from AWS, Google, Microsoft, Claude and Databricks, by level, with price, status and which one to take first.

Which AWS certification should you get? 2026 roadmapWhich AWS certification to get first, by role and experience, with each exam's status in October 2026, what is changing, and prices in USD and INR.

What Is RAG? How Retrieval-Augmented Generation WorksWhat RAG is and how it works: chunking, embeddings, vector search, hybrid search, reranking, GraphRAG and agentic RAG on AWS, Google and Azure.

Prompt engineering vs RAG vs fine-tuningWhen to use prompt engineering, retrieval-augmented generation, fine-tuning or continued pre-training, compared on cost, freshness, hallucination and privacy.