Become Google Certified with updated Professional-Machine-Learning-Engineer exam questions and correct answers
You work for a delivery company. You need to design a system that stores and manages features such as
parcels delivered and truck locations over time. The system must retrieve the features with low latency and
feed those features into a model for online prediction. The data science team will retrieve historical data at a
specific point in time for model training. You want to store the features with minimal effort. 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 work on a team that builds state-of-the-art deep learning models by using the TensorFlow framework. Your team runs multiple ML experiments each week which makes it difficult to track the experiment runs.
You want a simple approach to effectively track, visualize and debug ML experiment runs on Google Cloud
while minimizing any overhead code. How should you proceed?
You work at a leading healthcare firm developing state-of-the-art algorithms for various use cases You have
unstructured textual data with custom labels You need to extract and classify various medical phrases with
these labels What should you do?
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