AIF-C01 Applications of Foundation Models Practice Question
Which TWO AWS services can be used together to build a chatbot that leverages a foundation model for natural language understanding?
⚠ Common exam trap
AWS often tests the distinction between services that handle conversational interfaces (Lex) versus those that provide generative AI models (Bedrock), tempting candidates to pick Polly (speech output) or Rekognition (vision) as part of a chatbot, when they are not core to NLU or FM integration.
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 Lex
Amazon Lex provides the conversational interface and natural language understanding (NLU) to interpret user intents and manage dialog, while Amazon Bedrock gives access to foundation models (FMs) for advanced natural language generation and understanding. Together, Lex can route utterances to a Bedrock FM via a Lambda function or direct integration, enabling a chatbot that leverages a pre-trained FM for richer responses.
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 Rekognition
Why it's wrong here
Rekognition is for image/video analysis.
- ✓
Amazon Lex
Why this is correct
Lex handles dialog management and intent recognition.
- ✗
Amazon Polly
Why it's wrong here
Polly converts text to speech, not NLU.
- ✗
AWS Glue
Why it's wrong here
Glue is an ETL service, not relevant for chatbots.
- ✓
Amazon Bedrock
Why this is correct
Bedrock provides the underlying FM for NLU.
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 |
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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.