- A
Use AWS Lambda with a custom runtime
Why wrong: Lambda has time and memory limits; scikit-learn models may be too large and inference may exceed timeout.
- B
Deploy on an EC2 instance manually
Why wrong: Manual deployment requires managing infrastructure, scaling, and monitoring, which is not minimal management.
- C
Use AWS SageMaker to create a real-time endpoint
SageMaker offers managed inference endpoints with automatic scaling, reducing operational overhead.
- D
Use Amazon ECS with manual Docker setup
Why wrong: ECS requires managing Docker images, clusters, and scaling, which is more overhead than SageMaker.
Question 638 of 1,000
AI0-001 AI Infrastructure and Technologies Practice Question
This AI0-001 practice question tests your understanding of ai infrastructure and technologies. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
A developer wants to deploy a scikit-learn model as a REST API endpoint with minimal infrastructure management. Which cloud service is MOST appropriate?
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
✓
Use AWS SageMaker to create a real-time endpoint
AWS SageMaker provides a fully managed service for deploying machine learning models as real-time endpoints with built-in scaling, monitoring, and automatic infrastructure management. It directly supports scikit-learn models via pre-built containers, eliminating the need for custom runtime setup or manual server configuration. This makes it the most appropriate choice for a developer seeking minimal infrastructure management.
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.
- ✗
Use AWS Lambda with a custom runtime
Why it's wrong here
Lambda has time and memory limits; scikit-learn models may be too large and inference may exceed timeout.
- ✗
Deploy on an EC2 instance manually
Why it's wrong here
Manual deployment requires managing infrastructure, scaling, and monitoring, which is not minimal management.
- ✓
Use AWS SageMaker to create a real-time endpoint
Why this is correct
SageMaker offers managed inference endpoints with automatic scaling, reducing operational overhead.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Amazon ECS with manual Docker setup
Why it's wrong here
ECS requires managing Docker images, clusters, and scaling, which is more overhead than SageMaker.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that serverless compute like AWS Lambda is the best choice for any API deployment, but the trap here is that Lambda's execution environment and constraints (timeout, payload size, cold starts) make it inappropriate for ML model inference, whereas SageMaker is purpose-built for this workload.
Detailed technical explanation
How to think about this question
SageMaker real-time endpoints use an auto-scaling mechanism based on the 'SageMakerVariantInvocationsPerInstance' CloudWatch metric, allowing dynamic adjustment of instance count. Under the hood, the endpoint runs behind an Application Load Balancer (ALB) that distributes requests across multiple instances, and the model is served via a containerized inference server (e.g., using the SageMaker Scikit-learn container which includes the inference toolkit). A real-world scenario where this matters is when a model must handle variable traffic patterns, such as a recommendation engine for an e-commerce site during a flash sale, where automatic scaling prevents downtime without manual intervention.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: Use AWS SageMaker to create a real-time endpoint — AWS SageMaker provides a fully managed service for deploying machine learning models as real-time endpoints with built-in scaling, monitoring, and automatic infrastructure management. It directly supports scikit-learn models via pre-built containers, eliminating the need for custom runtime setup or manual server configuration. This makes it the most appropriate choice for a developer seeking minimal infrastructure management.
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
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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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