Become Google Certified with updated Professional-Machine-Learning-Engineer exam questions and correct answers
You trained a model, packaged it with a custom Docker container for serving, and deployed it to Vertex Al
Model Registry. When you submit a batch prediction job, it fails with this error "Error model server never
became ready Please validate that your model file or container configuration are valid. There are no additional
errors in the logs What should you do?
You work for an organization that operates a streaming music service. You have a custom production model
that is serving a "next song" recommendation based on a user’s recent listening history. Your model is
deployed on a Vertex Al endpoint. You recently retrained the same model by using fresh data. The model
received positive test results offline. You now want to test the new model in production while minimizing
complexity. What should you do?
You are using Keras and TensorFlow to develop a fraud detection model Records of customer transactions are
stored in a large table in BigQuery. You need to preprocess these records in a cost-effective and efficient way
before you use them to train the model. The trained model will be used to perform batch inference in
BigQuery. How should you implement the preprocessing workflow?
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