Question 16

Your company's infrastructure is on-premises, but all machines are running at maximum capacity. You want to burst to Google Cloud. The workloads on Google Cloud must be able to directly communicate to the workloads on-premises using a private IP range. What should you do?
  • Question 17

    You manage an App Engine Service that aggregates and visualizes data from BigQuery. The application is deployed with the default App Engine Service account. The data that needs to be visualized resides in a different project managed by another team. You do not have access to this project, but you want your application to be able to read data from the BigQuery dataset. What should you do?
  • Question 18

    You've been running your App Engine app for a few weeks with Autoscaling, and it's been working well. However, your marketing team is planning on a massive campaign, and they expect a lot of burst traffic. How would you go about ensuring there are always 4 idle instances?
  • Question 19

    A business team requires a structured storage solution to store all of a company's historical sales data.
    Currently there are 4 TB of data, which will grow to hundreds of terabytes within a few years. The team must be able to regularly run queries against the data using current business intelligence tools. Fast performance is required despite the dataset growth.
    Which solution should the company use?
  • Question 20

    You created several resources in multiple Google Cloud projects. All projects are linked to different billing accounts. To better estimate future charges, you want to have a single visual representation of all costs incurred. You want to include new cost data as soon as possible. What should you do?