Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?

An organization wants full control of their virtual machine infrastructure for a custom home-grown application with a product that autoscales and automatically updates.
Which Google Cloud product or solution should the organization use?

When customer data is uploaded to Google Cloud, who owns the data?

Your client is building a custom machine learning pipeline to identify lesions in the lungs based on x-rays.
Different teams of data scientists are sharing common source data and building many ver-sions of ML models. Which of these Cloud Storage options would be best for them?

A fitness band company is continuously ingesting data from millions of its consumers. Different kinds of data based on time, like location, heartbeat rate, temperature, movement, etc. are connect-ed. They need a high throughput database that can write data very fast. Since their users are spread across the world, they need the database to be geographically scalable. Consumers also want to see near-real-time visualizations of their activities. Which of these databases would be a good fit?