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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 240 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 240
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You work at a mobile gaming startup that creates online multiplayer games. Recently, your company observed an increase in players cheating in the games, leading to a loss of revenue and a poor user experience You built a binary classification model to determine whether a player cheated after a completed game session, and then send a message to other downstream systems to ban the player that cheated. Your model has performed well during testing, and you now need to deploy the model to production. You want your serving solution to provide immediate classifications after a completed game session to avoid further loss of revenue. What should you do?

  • A. Import the model into Vertex AI Model Registry. Use the Vertex Batch Prediction service to run batch inference jobs.
  • B. Save the model files in a Cloud Storage bucket. Create a Cloud Function to read the model files and make online inference requests on the Cloud Function.
  • C. Save the model files in a VM. Load the model files each time there is a prediction request, and run an inference job on the VM
  • D. Import the model into Vertex AI Model Registry. Create a Vertex AI endpoint that hosts the model, and make online inference requests.
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Suggested Answer: D 🗳️
by pikachu007 at Jan. 13, 2024, 8:30 a.m.

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guilhermebutzke
Highly Voted 8 months, 2 weeks ago
My answer: D A: Not correct: Batch Prediction is designed for offline processing of large datasets, not for immediate real-time predictions needed in this scenario. B: Not correct: While Cloud Functions offer real-time processing, loading the model files each time might introduce latency, especially for larger models C: Not correct: Using a VM is less scalable and more complex to manage compared to other options. D: CORRECT: Vertex AI Model Registry ensures proper model management, versioning, and access control while Vertex AI endpoint provides a highly scalable and managed solution for real-time online inference, ensuring immediate predictions after game sessions.
upvoted 6 times
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fitri001
Highly Voted 6 months, 1 week ago
Selected Answer: D
Low Latency: Vertex AI Endpoints are specifically designed for low-latency online inference. They offer automatic scaling and efficient resource allocation, ensuring quick responses to game session completion signals. Real-time Decisions: This deployment method allows your game backend to send data from finished game sessions to the Vertex AI endpoint in near real-time. The endpoint can then make classifications (cheater or not cheater) promptly. Managed Service: Vertex AI handles the infrastructure management and scaling of your model, freeing you from managing servers or virtual machines (VMs).
upvoted 5 times
fitri001
6 months, 1 week ago
A. Vertex Batch Prediction: Batch prediction is designed for offline processing of large datasets, not real-time inference on individual game sessions. B. Cloud Function with Model Files: While Cloud Functions can be triggered by events, reading the model files each time and running inference can introduce latency. This might not be ideal for immediate classifications. C. Model Files in a VM: Loading the model on a VM for each inference request incurs significant overhead and latency. This approach is not suitable for real-time processing.
upvoted 2 times
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pikachu007
Most Recent 9 months, 2 weeks ago
Selected Answer: D
Option A: Batch prediction is too slow for your needs. Option B: Cloud Functions are ideal for short-lived tasks, not for continuously serving models. Loading the model on every request would be inefficient. Option C: VMs offer less scalability and management overhead compared to Vertex AI.
upvoted 3 times
sonicclasps
9 months ago
although the game is multiplayer, and you could submit requests for all the players in the game that just ended, as a batch. So I think A is also an option
upvoted 1 times
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