- A
Amazon Bedrock
Bedrock offers a managed API to foundation models from various providers.
- B
Amazon EC2
Why wrong: EC2 is raw compute, requiring manual setup.
- C
Amazon SageMaker
Why wrong: SageMaker is a full ML platform, not specifically for serverless FM access.
- D
AWS Lambda
Why wrong: Lambda runs code but does not provide pre-built FM APIs.
Question 204 of 1,000
AI0-001 AI Infrastructure and Technologies Practice Question
This AI0-001 practice question tests your understanding of ai infrastructure and technologies. 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 would a developer use to integrate a pre-built foundation model into an application via API, without managing underlying infrastructure?
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 access to pre-built foundation models (FMs) from providers like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI via a unified API. It eliminates the need to manage underlying infrastructure such as servers, GPUs, or scaling, allowing developers to integrate FMs into applications with minimal operational overhead.
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 offers a managed API to foundation models from various providers.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon EC2
Why it's wrong here
EC2 is raw compute, requiring manual setup.
- ✗
Amazon SageMaker
Why it's wrong here
SageMaker is a full ML platform, not specifically for serverless FM access.
- ✗
AWS Lambda
Why it's wrong here
Lambda runs code but does not provide pre-built FM APIs.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between managed AI services (Bedrock) and infrastructure-heavy services (EC2, SageMaker) by framing the question around 'pre-built models' and 'no infrastructure management,' leading candidates to mistakenly choose SageMaker because it is associated with AI/ML, even though it requires model hosting and endpoint management.
Detailed technical explanation
How to think about this question
Under the hood, Amazon Bedrock uses a serverless architecture where each FM is hosted on optimized GPU instances managed by AWS, and the service exposes a consistent InvokeModel API that abstracts model-specific differences in input/output formats. A real-world scenario is a chatbot application that needs to switch between Anthropic's Claude and Meta's Llama 2 based on cost or latency; Bedrock's unified API allows this without code changes, while EC2 or SageMaker would require separate endpoint management and model-specific inference scripts.
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 practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Infrastructure and Technologies — This question tests AI Infrastructure and Technologies — 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 access to pre-built foundation models (FMs) from providers like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI via a unified API. It eliminates the need to manage underlying infrastructure such as servers, GPUs, or scaling, allowing developers to integrate FMs into applications with minimal operational overhead.
What should I do if I get this AI0-001 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.
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