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Professional-Machine-Learning-Engineer dumps questions answers

Google Professional-Machine-Learning-Engineer Dumps

Exam Code:
Professional-Machine-Learning-Engineer
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Google Professional Machine Learning Engineer
Last Update: Jun 19, 2024
270 Questions with Explanation
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Google Professional Machine Learning Engineer Questions and Answers

Questions 1

You work for a company that sells corporate electronic products to thousands of businesses worldwide. Your company stores historical customer data in BigQuery. You need to build a model that predicts customer lifetime value over the next three years. You want to use the simplest approach to build the model and you want to have access to visualization tools. What should you do?

Options:

A.

Create a Vertex Al Workbench notebook to perform exploratory data analysis. Use IPython magics to create a new BigQuery table with input features Use the BigQuery console to run the create model statement Validate the results by using the ml. evaluate and ml. predict statements.

B.

Run the create model statement from the BigQuery console to create an AutoML model Validate the results by using the ml. evaluate and ml. predict statements.

C.

Create a Vertex Al Workbench notebook to perform exploratory data analysis and create input features Save the features as a CSV file in Cloud Storage Import the CSV file as a new BigQuery table Use the BigQuery console to run the create model statement Validate the results by using the ml. evaluate and ml. predict statements.

D.

Create a Vertex Al Workbench notebook to perform exploratory data analysis Use IPython magics to create a new BigQuery table with input features, create the model and validate the results by using the create model, ml. evaluates, and ml. predict statements.

Questions 2

You developed a custom model by using Vertex Al to forecast the sales of your company s products based on historical transactional data You anticipate changes in the feature distributions and the correlations between the features in the near future You also expect to receive a large volume of prediction requests You plan to use Vertex Al Model Monitoring for drift detection and you want to minimize the cost. What should you do?

Options:

A.

Use the features for monitoring Set a monitoring- frequency value that is higher than the default.

B.

Use the features for monitoring Set a prediction-sampling-rare value that is closer to 1 than 0.

C.

Use the features and the feature attributions for monitoring. Set a monitoring-frequency value that is lower than the default.

D.

Use the features and the feature attributions for monitoring Set a prediction-sampling-rate value that is closer to 0 than 1.

Questions 3

You are building a predictive maintenance model to preemptively detect part defects in bridges. You plan to use high definition images of the bridges as model inputs. You need to explain the output of the model to the relevant stakeholders so they can take appropriate action. How should you build the model?

Options:

A.

Use scikit-learn to build a tree-based model, and use SHAP values to explain the model output.

B.

Use scikit-lean to build a tree-based model, and use partial dependence plots (PDP) to explain the model output.

C.

Use TensorFlow to create a deep learning-based model and use Integrated Gradients to explain the model

output.

D.

Use TensorFlow to create a deep learning-based model and use the sampled Shapley method to explain the model output.