PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #337
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #337: Real Exam Question with Answer & Explanation
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Question
You work at an organization that manages a popular payment app. You built a fraudulent transaction detection model by using scikit-learn and deployed it to a Vertex AI endpoint. The endpoint is currently using 1 with 2 vCPUs and 8 GB of memory. e2-standard-2 machine You discover that traffic on the gateway fluctuates to four times more than the endpoint's capacity. You need to address this issue by using the most cost-effective approach. What should you do?
Options
- ARe-deploy the model with a TPU accelerator.
- BChange the machine type to e2-highcpu-32 with 32 vCPUs and 32 GB of memory.
- CSet up a monitoring job and an alert for CPU usage. If you receive an alert, scale the vCPUs as
- DIncrease the number of maximum replicas to 6 nodes, each with 1 machine.
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