MLA-C01 · Question #220
MLA-C01 Question #220: Real Exam Question with Answer & Explanation
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Question
An airline company uses an ML model to adjust ticket prices based on demand. The model runs on Amazon SageMaker real-time endpoints. During previous deployments, the model failed to scale quickly enough when website traffic increased, which caused delays in price adjustments. An ML engineer needs to configure auto scaling for the SageMaker endpoints to respond rapidly to traffic changes. The solution must use target tracking scaling policies. Which configuration will be MOST responsive to sudden changes in traffic?
Options
- AConfigure auto scaling based on the SageMaker AI InvocationsPerInstance standard metric.
- BConfigure auto scaling based on the SageMaker AI InvocationsPerInstance metric. Configure
- CConfigure auto scaling based on the SageMaker InvocationsPerInstance standard metric.
- DConfigure auto scaling based on the SageMaker InvocationsPerInstance metric. Configure high-
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