Become Google Certified with updated Professional-Machine-Learning-Engineer exam questions and correct answers
You work for a retail company that is using a regression model built with BigQuery ML to predict product
sales. This model is being used to serve online predictions Recently you developed a new version of the model
that uses a different architecture (custom model) Initial analysis revealed that both models are performing as
expected You want to deploy the new version of the model to production and monitor the performance over
the next two months You need to minimize the impact to the existing and future model users How should you
deploy the model?
You want to migrate a scikrt-learn classifier model to TensorFlow. You plan to train the TensorFlow classifier
model using the same training set that was used to train the scikit-learn model and then compare the
performances using a common test set. You want to use the Vertex Al Python SDK to manually log the
evaluation metrics of each model and compare them based on their F1 scores and confusion matrices. How
should you log the metrics?
You have been given a dataset with sales predictions based on your company’s marketing activities. The data is structured and stored in BigQuery, and has been carefully managed by a team of data analysts. You need to prepare a report providing insights into the predictive capabilities of the data. You were asked to run several ML models with different levels of sophistication, including simple models and multilayered neural networks. You only have a few hours to gather the results of your experiments. Which Google Cloud tools should you use to complete this task in the most efficient and self-serviced way?
You work for a semiconductor manufacturing company. You need to create a real-time application that
automates the quality control process High-definition images of each semiconductor are taken at the end of the
assembly line in real time. The photos are uploaded to a Cloud Storage bucket along with tabular data that
includes each semiconductor's batch number serial number dimensions, and weight You need to configure
model training and serving while maximizing model accuracy. What should you do?
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