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Google Professional Machine Learning Engineer Exam - Topic 7 Question 15 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 15
Topic #: 7
[All Professional Machine Learning Engineer Questions]

You work for a public transportation company and need to build a model to estimate delay times for multiple transportation routes. Predictions are served directly to users in an app in real time. Because different seasons and population increases impact the data relevance, you will retrain the model every month. You want to follow Google-recommended best practices. How should you configure the end-to-end architecture of the predictive model?

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Suggested Answer: A

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Nan
5 months ago
Monthly retraining? That seems excessive, doesn't it?
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Annice
5 months ago
D? Really? I didn't know Cloud Composer could do that!
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Gail
5 months ago
C sounds a bit complicated for this task.
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Lezlie
5 months ago
I think B is better for real-time updates.
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Floyd
5 months ago
A seems like a solid choice for managing workflows.
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Billy
5 months ago
Cloud Composer seems like a solid choice for scheduling, but I’m not clear on how it compares to the other options for this specific use case.
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Jerry
5 months ago
I’m leaning towards Cloud Functions and Ai Platform, but I’m a bit uncertain about how well it integrates with real-time data.
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Berry
5 months ago
I think using BigQuery ML could simplify the retraining process, especially with the scheduled query feature. That sounds familiar from our practice questions.
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Tina
5 months ago
I remember we discussed using Kubeflow Pipelines for managing workflows, but I'm not entirely sure if it's the best fit for real-time predictions.
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Peggy
6 months ago
This question seems straightforward - I think the key is to focus on the main objective of the program, which is to use customer behavior to determine new routes and markets. Based on that, I would say the next step should be to define the critical success factors (CSFs) to ensure the program is successful.
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Tran
6 months ago
Writing a shell script to gather metrics, publish to Pub/Sub, and create a Data Studio dashboard sounds like a good comprehensive solution. That would give me a lot of flexibility and control over the monitoring process.
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Felice
6 months ago
Okay, I've got this. The key is to use the deployer to deploy the Enterprise Security configurations to the cluster members. I'm pretty confident that's the right answer.
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Sherrell
6 months ago
I'm a bit unsure about this one. I'll need to review my notes on credit policies and cash management to determine the best approach.
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