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 (B) is correct because it provides the conversational interface—intents, utterances, slots, and dialog management—needed to build a chatbot that interprets user input. Amazon Bedrock (E) is correct because it offers access to foundation models via a managed API, supplying the natural language understanding and generative responses the chatbot requires; Lex can invoke Bedrock through a Lambda fulfillment function to combine both capabilities. Amazon Rekognition (A) is a computer-vision service for image and video analysis, not natural language understanding, so it does not fit. Amazon Polly (C) only converts text to speech for voice output and does not provide NLU or foundation-model reasoning. AWS Glue (D) is a serverless ETL and data-catalog service for analytics pipelines, unrelated to building conversational chatbots.
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 performs image and video analysis such as object and face detection, offering no text or conversational capability for a foundation-model chatbot. It is tempting because it is an AI service, but the required pairing is a foundation-model service with a conversational interface service.
- ✓
Amazon Lex
Why this is correct
Amazon Lex supplies the conversational interface, handling intent recognition, slot elicitation and dialogue flow, while Amazon Bedrock provides access to foundation models for natural language understanding. Together they satisfy the stem's requirement that two AWS services combine to build a foundation-model-powered chatbot.
- ✗
Amazon Polly
Why it's wrong here
Amazon Polly performs text-to-speech synthesis, converting written text into spoken audio; it cannot interpret user intent or generate conversational responses. It is tempting because voice output is part of many chatbots, and Polly would be the correct choice when the requirement is adding speech output to an existing bot.
- ✗
AWS Glue
Why it's wrong here
Glue is a serverless ETL service for cataloguing and transforming data; it neither hosts foundation models nor handles conversational turns. It is tempting because it is commonly paired with AI workloads for data preparation, but the chatbot needs a foundation-model service plus a conversational interface.
- ✓
Amazon Bedrock
Why this is correct
Amazon Bedrock supplies the foundation model that interprets user utterances, satisfying the natural language understanding requirement. Paired with a compute or orchestration service, it lets the chatbot invoke models via a managed API without infrastructure management. It is one of the two services the question demands.
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.