AIF-C01 Applications of Foundation Models Practice Question
Exhibit
{
"EndpointConfigName": "my-fm-endpoint-config",
"ProductionVariants": [
{
"VariantName": "variant1",
"ModelName": "my-fm-model",
"InitialInstanceCount": 1,
"InstanceType": "ml.g5.xlarge",
"InitialVariantWeight": 1.0
}
]
}Refer to the exhibit. A data scientist created this endpoint config for a foundation model in Amazon SageMaker. However, the endpoint fails to scale under load. What is the most likely reason?
⚠ Common exam trap
AWS often tests the misconception that setting a higher InitialInstanceCount or choosing a larger instance type alone enables scaling, when in fact AutoScaling must be explicitly configured as a separate step.
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
✓
Missing AutoScaling configuration
The endpoint fails to scale under load because the endpoint configuration shown lacks an AutoScaling policy. Without AutoScaling, SageMaker will not automatically adjust the number of instances based on traffic, so even if the initial instance count is 1, the endpoint cannot add more instances to handle increased load. AutoScaling must be explicitly configured via Application Auto Scaling to define scaling policies and target tracking metrics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Missing AutoScaling configuration
Why this is correct
Auto scaling policy is required to add instances under load.
- ✗
Variant weight is 1.0
Why it's wrong here
Weight of 1.0 is normal for a single variant.
- ✗
Instance type is too small
Why it's wrong here
Instance type affects capacity, but scaling is the missing piece.
- ✗
InitialInstanceCount is 1
Why it's wrong here
Initial count of 1 is fine; scaling would handle load.
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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.