Practice Google Professional-Machine-Learning-Engineer Exam Questions
Page: 1/14 Total 70 Questions
Question No 1
As the lead ML Engineer for your company, you are responsible for building ML models to digitize
scanned customer forms. You have developed a TensorFlow model that converts the scanned images
into text and stores them in Cloud Storage. You need to use your ML model on the aggregated data
collected at the end of each day with minimal manual intervention. What should you do?
Question No 2
You work for a global footwear retailer and need to predict when an item will be out of stock based
on historical inventory dat
a. Customer behavior is highly dynamic since footwear demand is influenced by many different
factors. You want to serve models that are trained on all available data, but track your performance
on specific subsets of data before pushing to production. What is the most streamlined and reliable
way to perform this validation?
Question No 3
You work on a growing team of more than 50 data scientists who all use Al Platform. You are
designing a strategy to organize your jobs, models, and versions in a clean and scalable way. Which
strategy should you choose?
Question No 4
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?
Question No 5
You are building a linear model with over 100 input features, all with values between - 1 and 1. You
suspect that many features are non - informative. You want to remove the non - informative features
from your model while keeping the informative ones in their original form. Which technique should
you use?
Page: 1/14 Total 70 Questions
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