Free Google Professional-Machine-Learning-Engineer Exam Questions
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Google Professional-Machine-Learning-Engineer Exam Questions
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Provided By: Google
- Exam: Professional Machine Learning Engineer
- Certification: Google Cloud Certified
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Total Questions: 289
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Updated On: Nov 12, 2024
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Rated: 4.9 |
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Online Users: 578
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Question 1
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Your organization manages an online message board. A few months ago, you discovered an increase in toxic language and bullying on the message board. You deployed an automated text classifier that flags certain comments as toxic or harmful. Now some users are reporting that benign comments referencing their religion are being misclassified as abusive. Upon further inspection, you find that your classifier's false positive rate is higher for comments that reference certain underrepresented religious groups. Your team has a limited budget and is already overextended. What should you do?
Answer: A
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Question 2
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You are developing a model to identify traffic signs in images extracted from videos taken from the dashboard of a vehicle. You have a dataset of 100 000 images that were cropped to show one out of ten different traffic signs. The images have been labeled accordingly for model training and are stored in a Cloud Storage bucket You need to be able to tune the model during each training run. How should you train the model?
Answer: C
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Question 3
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During batch training of a neural network, you notice that there is an oscillation in the loss. How should you adjust your model to ensure that it converges?
Answer: C
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Question 4
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You have deployed multiple versions of an image classification model on AI Platform. You want to monitor the performance of the model versions over time. How should you perform this comparison?
Answer: B
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Question 5
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You are working with a dataset that contains customer transactions. You need to build an ML model to predict customer purchase behavior. You plan to develop the model in BigQuery ML, and export it to Cloud Storage for online prediction. You notice that the input data contains a few categorical features, including product category and payment method. You want to deploy the model as quickly as possible. What should you do?
Answer: D
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You are working with a dataset that contains customer transactions. You need to build an ML model to predict customer purchase behavior. You plan to develop the model in BigQuery ML, and export it to Cloud Storage for online prediction. You notice that the input data contains a few categorical features, including product category and payment method. You want to deploy the model as quickly as possible. What should you do?