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Question 169 - Professional Machine Learning Engineer discussion

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You are developing a process for training and running your custom model in production. You need to be able to show lineage for your model and predictions. What should you do?

A.
1 Create a Vertex Al managed dataset 2 Use a Vertex Ai training pipeline to train your model 3 Generate batch predictions in Vertex Al
Answers
A.
1 Create a Vertex Al managed dataset 2 Use a Vertex Ai training pipeline to train your model 3 Generate batch predictions in Vertex Al
B.
1 Use a Vertex Al Pipelines custom training job component to train your model 2. Generate predictions by using a Vertex Al Pipelines model batch predict component
Answers
B.
1 Use a Vertex Al Pipelines custom training job component to train your model 2. Generate predictions by using a Vertex Al Pipelines model batch predict component
C.
1 Upload your dataset to BigQuery 2. Use a Vertex Al custom training job to train your model 3 Generate predictions by using Vertex Al SDK custom prediction routines
Answers
C.
1 Upload your dataset to BigQuery 2. Use a Vertex Al custom training job to train your model 3 Generate predictions by using Vertex Al SDK custom prediction routines
D.
1 Use Vertex Al Experiments to train your model. 2 Register your model in Vertex Al Model Registry 3. Generate batch predictions in Vertex Al
Answers
D.
1 Use Vertex Al Experiments to train your model. 2 Register your model in Vertex Al Model Registry 3. Generate batch predictions in Vertex Al
Suggested answer: D

Explanation:

According to the official exam guide1, one of the skills assessed in the exam is to ''track the lineage of pipeline artifacts''.Vertex AI Experiments2is a service that allows you to track and compare the results of your model training runs. Vertex AI Experiments automatically logs metadata such as hyperparameters, metrics, and artifacts for each training run. You can use Vertex AI Experiments to train your custom model using TensorFlow, PyTorch, XGBoost, or scikit-learn.Vertex AI Model Registry3is a service that allows you to manage your trained models in a central location. You can use Vertex AI Model Registry to register your model, add labels and descriptions, and view the model's lineage graph. The lineage graph shows the artifacts and executions that are part of the model's creation, such as the dataset, the training pipeline, and the evaluation metrics. The other options are not relevant or optimal for this scenario.Reference:

Professional ML Engineer Exam Guide

Vertex AI Experiments

Vertex AI Model Registry

Google Professional Machine Learning Certification Exam 2023

Latest Google Professional Machine Learning Engineer Actual Free Exam Questions

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asked 18/09/2024
Harry Vervelde
40 questions
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