Which Google Cloud product is designed to reduce the risks of handling personally identifiable information (PII)?
A. Cloud Storage
B. Google Cloud Armor
C. Cloud Data Loss Prevention
D. Secret Manager
Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a
pronounced margin.
What is the issue and how can you solve for it?
A. The model is under fitted. Train with less data.
B. The model is over fitted. Add more features to the model to fix it.
C. The model is fine since the test results are good. Fix the production of incoming data.
D. The model is overfitted. Train with more data.
Your organization is developing a mobile app and wants to select a fully featured cloud-based compute platform for it.
Which Google Cloud product or feature should your organization use?
A. Google Kubernetes Engine
B. Firebase
C. Cloud Functions
D. App Engine
Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?
A. BigQuery ML
B. TensorFlow
C. AutoML Tables
D. Cloud Bigtable ML
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