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Google Updated Professional-Machine-Learning-Engineer Exam Questions and Answers by danyal

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Google Professional-Machine-Learning-Engineer Exam Overview :

Exam Name: Google Professional Machine Learning Engineer
Exam Code: Professional-Machine-Learning-Engineer Dumps
Vendor: Google Certification: Machine Learning Engineer
Questions: 285 Q&A's Shared By: danyal
Question 80

You are an ML engineer on an agricultural research team working on a crop disease detection tool to detect leaf rust spots in images of crops to determine the presence of a disease. These spots, which can vary in shape and size, are correlated to the severity of the disease. You want to develop a solution that predicts the presence and severity of the disease with high accuracy. What should you do?

Options:

A.

Create an object detection model that can localize the rust spots.

B.

Develop an image segmentation ML model to locate the boundaries of the rust spots.

C.

Develop a template matching algorithm using traditional computer vision libraries.

D.

Develop an image classification ML model to predict the presence of the disease.

Discussion
Question 81

You are training an ML model on a large dataset. You are using a TPU to accelerate the training process You notice that the training process is taking longer than expected. You discover that the TPU is not reaching its full capacity. What should you do?

Options:

A.

Increase the learning rate

B.

Increase the number of epochs

C.

Decrease the learning rate

D.

Increase the batch size

Discussion
Question 82

You are training models in Vertex Al by using data that spans across multiple Google Cloud Projects You need to find track, and compare the performance of the different versions of your models Which Google Cloud services should you include in your ML workflow?

Options:

A.

Dataplex. Vertex Al Feature Store and Vertex Al TensorBoard

B.

Vertex Al Pipelines, Vertex Al Feature Store, and Vertex Al Experiments

C.

Dataplex. Vertex Al Experiments, and Vertex Al ML Metadata

D.

Vertex Al Pipelines: Vertex Al Experiments and Vertex Al Metadata

Discussion
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Question 83

You are deploying a new version of a model to a production Vertex Al endpoint that is serving traffic You plan to direct all user traffic to the new model You need to deploy the model with minimal disruption to your application What should you do?

Options:

A.

1 Create a new endpoint.

2 Create a new model Set it as the default version Upload the model to Vertex Al Model Registry.

3. Deploy the new model to the new endpoint.

4 Update Cloud DNS to point to the new endpoint

B.

1. Create a new endpoint.

2. Create a new model Set the parentModel parameter to the model ID of the currently deployed model and set it as the default version Upload the model to Vertex Al Model Registry

3. Deploy the new model to the new endpoint and set the new model to 100% of the traffic

C.

1 Create a new model Set the parentModel parameter to the model ID of the currently deployed model Upload the model to Vertex Al Model Registry.

2 Deploy the new model to the existing endpoint and set the new model to 100% of the traffic.

D.

1, Create a new model Set it as the default version Upload the model to Vertex Al Model Registry

2 Deploy the new model to the existing endpoint

Discussion
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