Question 814 of 1,000
Applications of Foundation ModelseasyMultiple ChoiceObjective-mapped

AIF-C01 Applications of Foundation Models Practice Question

This AIF-C01 practice question tests your understanding of applications of foundation models. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

Which AWS service provides a serverless API for accessing foundation models with per-token pricing?

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 API for accessing foundation models (FMs) from providers like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI. It offers per-token pricing, meaning you pay only for the number of tokens processed in both input and output, with no upfront commitments or infrastructure management required.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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

    Bedrock provides a serverless API with per-token pricing.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon API Gateway

    Why it's wrong here

    API Gateway creates APIs but does not host models.

  • AWS Lambda

    Why it's wrong here

    Lambda is compute, not a model inference service.

  • Amazon SageMaker

    Why it's wrong here

    SageMaker endpoints are instance-based, not serverless per-token.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Amazon API Gateway (a serverless API front-end) with Bedrock's serverless model inference API, or mistakenly think AWS Lambda provides built-in FM access, when in fact Lambda is just compute and requires explicit integration with a model service.

Detailed technical explanation

How to think about this question

Under the hood, Amazon Bedrock uses a unified API that abstracts the underlying model endpoints, handling tokenization, inference, and response streaming. Per-token pricing is calculated based on the model's tokenizer (e.g., Anthropic Claude uses a subword tokenizer with ~1 token per 3-4 characters), and costs vary by model and region. In a real-world scenario, a chatbot application could use Bedrock's InvokeModel API with streaming to reduce latency, and the per-token cost ensures you only pay for actual usage, making it cost-effective for variable workloads.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

What to study next

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FAQ

Questions learners often ask

What does this AIF-C01 question test?

Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Amazon Bedrock — Amazon Bedrock is a fully managed service that provides a serverless API for accessing foundation models (FMs) from providers like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI. It offers per-token pricing, meaning you pay only for the number of tokens processed in both input and output, with no upfront commitments or infrastructure management required.

What should I do if I get this AIF-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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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.