AIF-C01 Fundamentals of Generative AI Practice Question
Which AWS service provides a serverless experience for building and scaling generative AI applications with access to various foundation models?
⚠ Common exam trap
Many exam-takers confuse Amazon SageMaker's broad ML capabilities with the specific serverless, foundation-model-focused offering of Amazon Bedrock, or mistakenly think AWS Lambda alone provides generative AI model access when it is merely a compute trigger.
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
✓
Amazon Bedrock
Amazon Bedrock is a fully managed service that provides a serverless experience for building and scaling generative AI applications. It offers access to a variety of foundation models (FMs) from providers like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, without the need to manage underlying infrastructure.
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 Bedrock
Why this is correct
Amazon Bedrock delivers a fully managed, serverless API that exposes multiple foundation models from providers such as Anthropic, Meta and Amazon, removing infrastructure provisioning. This directly satisfies the stem's serverless requirement for building and scaling generative AI applications, since you invoke models on demand without managing servers or capacity.
- ✗
Amazon SageMaker
Why it's wrong here
SageMaker is a managed platform for building, training and deploying custom models; it does not provide serverless access to multiple third-party foundation models. It suits teams training or hosting their own models, whereas the scenario requires a serverless API offering several foundation models.
- ✗
Amazon Lex
Why it's wrong here
Amazon Lex builds conversational chatbots using intents and slots, not a serverless model-hosting platform. It is tempting because it does use generative AI features, but it exposes no foundation-model choice or scaling API. Amazon Bedrock is the service that provides serverless access to multiple foundation models.
- ✗
AWS Lambda
Why it's wrong here
Lambda runs event-driven code functions; it hosts no foundation models and offers no model-selection API. It suits glue logic or lightweight compute, not generative AI inference. The scenario requires a serverless service exposing multiple foundation models directly.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
About these practice questions
This AIF-C01 question is part of Courseiva's 862-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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 AIF-C01 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 AIF-C01 exam.