AIF-C01 Fundamentals of AI and ML Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of ai and ml. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 financial services company needs to deploy a real-time fraud detection model with sub-100ms inference latency. The model is a large ensemble requiring 8 GB of memory per request. The workload has bursty traffic. Which Amazon SageMaker deployment strategy best meets these requirements?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a single ml.r5.2xlarge instance with an auto-scaling policy based on CPU utilization
Option B is correct because a single ml.r5.2xlarge instance provides 16 GB of memory, which can handle the 8 GB per request requirement, and SageMaker real-time endpoints with auto-scaling based on CPU utilization can dynamically adjust to bursty traffic while maintaining sub-100ms inference latency. This approach avoids the overhead of load balancers or multi-model caching that could introduce latency.
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.
✗
Deploy behind an Application Load Balancer with multiple ml.m5.xlarge EC2 instances running the model
Why it's wrong here
This is not managed by SageMaker; requires custom infrastructure management and does not guarantee low latency.
✓
Use a single ml.r5.2xlarge instance with an auto-scaling policy based on CPU utilization
Why this is correct
A real-time endpoint with a large instance and auto-scaling handles bursty traffic and meets latency requirements.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use a SageMaker multi-model endpoint with ml.m5.large instances to cache multiple models
Why it's wrong here
Multi-model endpoints have model loading overhead, increasing latency beyond 100ms.
✗
Use SageMaker asynchronous inference with a large batch size
Why it's wrong here
Asynchronous inference is not real-time and has higher latency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume multi-model endpoints (Option C) are suitable for large models, but they are designed for many small models sharing memory, not for a single large ensemble requiring 8 GB per request.
Detailed technical explanation
How to think about this question
SageMaker real-time endpoints use a synchronous HTTP/HTTPS invocation with a maximum payload size of 6 MB and target latencies under 100 ms; auto-scaling based on CPU utilization or custom metrics (e.g., SageMakerVariantInvocationsPerInstance) allows dynamic scaling for bursty traffic. The ml.r5.2xlarge instance (8 vCPU, 16 GB memory) provides ample headroom for the 8 GB model, and memory-bound workloads benefit from r5 instances optimized for memory-intensive inference.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
Fundamentals of AI and ML — This question tests Fundamentals of AI and ML — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a single ml.r5.2xlarge instance with an auto-scaling policy based on CPU utilization — Option B is correct because a single ml.r5.2xlarge instance provides 16 GB of memory, which can handle the 8 GB per request requirement, and SageMaker real-time endpoints with auto-scaling based on CPU utilization can dynamically adjust to bursty traffic while maintaining sub-100ms inference latency. This approach avoids the overhead of load balancers or multi-model caching that could introduce latency.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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