Free Access Google.Professional-Machine-Learning-Engineer.v2024-09-13.q242 Practice Test (Page 49)

Question 236

You have trained a text classification model in TensorFlow using Al Platform. You want to use the trained model for batch predictions on text data stored in BigQuery while minimizing computational overhead. What should you do?

A.Export the model to BigQuery ML.

B.Deploy and version the model on Al Platform.

C.Use Dataflow with the SavedModel to read the data from BigQuery

D.Submit a batch prediction job on Al Platform that points to the model location in Cloud Storage.

Question 237

You work for a company that captures live video footage of checkout areas in their retail stores You need to use the live video footage to build a mode! to detect the number of customers waiting for service in near real time You want to implement a solution quickly and with minimal effort How should you build the model?

A.Use the Vertex Al Vision Occupancy Analytics model.

B.Use the Vertex Al Vision Person/vehicle detector model

C.Train an AutoML object detection model on an annotated dataset by using Vertex AutoML

D.Train a Seq2Seq+ object detection model on an annotated dataset by using Vertex AutoML

Question 238

A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a machine learning specialist will build a binary classifier based on two features: age of account, denoted by x, and transaction month, denoted by y. The class distributions are illustrated in the provided figure. The positive class is portrayed in red, while the negative class is portrayed in black.

Which model would have the HIGHEST accuracy?

A.Single perceptron with a Tanh activation function

B.Support vector machine (SVM) with a radial basis function kernel

C.Linear support vector machine (SVM)

D.Decision tree

Question 239

You have written unit tests for a Kubeflow Pipeline that require custom libraries. You want to automate the execution of unit tests with each new push to your development branch in Cloud Source Repositories. What should you do?

A.Set up a Cloud Logging sink to a Pub/Sub topic that captures interactions with Cloud Source Repositories. Execute the unit tests using a Cloud Function that is triggered when messages are sent to the Pub/Sub topic

B.Set up a Cloud Logging sink to a Pub/Sub topic that captures interactions with Cloud Source Repositories Configure a Pub/Sub trigger for Cloud Run, and execute the unit tests on Cloud Run.

C.Write a script that sequentially performs the push to your development branch and executes the unit tests on Cloud Run

D.Using Cloud Build, set an automated trigger to execute the unit tests when changes are pushed to your development branch.

Question 240

You work for a magazine publisher and have been tasked with predicting whether customers will cancel their annual subscription. In your exploratory data analysis, you find that 90% of individuals renew their subscription every year, and only 10% of individuals cancel their subscription. After training a NN Classifier, your model predicts those who cancel their subscription with 99% accuracy and predicts those who renew their subscription with 82% accuracy. How should you interpret these results?

A.This is not a good result because the model should have a higher accuracy for those who renew their subscription than for those who cancel their subscription.

B.This is not a good result because the model is performing worse than predicting that people will always renew their subscription.

C.This is a good result because the accuracy across both groups is greater than 80%.

D.This is a good result because predicting those who cancel their subscription is more difficult, since there is less data for this group.

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