Which of the following storage options should you use when your company is using Cloud Storage to store application backup files for disaster recovery purposes, provided you want to follow Goog-le's recommended practices.
The government has mandated that companies in a particular section of healthcare must retain all the data they collect for a period of 10 years in case an audit needs to be done. Your client, who is in that industry, needs to follow regulations. In addition, your client wants to do an analysis of the data quite frequently in the first year. They also don't want to be liable for any data beyond year 10. What would recommend for your customer?
You are discussing scaling requirements with a gaming company. When the game launches, they are expecting incoming data surges of 2 million users or more during weekends and holidays. Their on-premise systems have had issues scaling and they want your advice on solving the issue. What do you recommend?
Your client is a financial services company giving loans based on customer profiles. As part of the regulatory compliance, they have to collect a bunch of different documents with know your cus-tomer (KYC) information. They want to be able to process the information in these documents quickly and at scale. They want to integrate the chosen solution as quickly as possible. What are your options on Google Cloud?
You are looking for a one stop reference page for GCP support. What Page would you se-lect?
What issues can arise when organizations integrate third-party systems into their cloud infrastruc-ture?
A small scale retailer has been collecting its point of sale transaction in a PostgreSQL Da-tabase. They have raised funding for a strategic expansion goal in the next year that will see them grow significantly in Asia, Europe, North America, Which Database option should they choose in Google Cloud?
Cloud Data Loss Prevention (DLP) is a fully managed service designed to help discover, classify, and protect the most sensitive data. DLP provides three key features (Select Three Answers)
A customer has an application running in virtual machines. They are migrating this application to Google Cloud. They have previously had scaling issues when on-premises as VMs had to be pre-allocated. Capacity planning was repeatedly off mark - it's either too many VMs or too less. They want to match the capacity to demand while keeping the application running always. They don't have the time or budget to re-architect the systems using containers and Kubernetes at the mo-ment. What would be your recommendation?
TESTED 16 Jun 2025
