An organization relies on online seasonal sales for the majority of their annual revenue. Why should the organization use App Engine for their customer app?
Question 72
An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data. How will the prediction be impacted?
Question 73
A global organization is developing an application to manage payments and online bank accounts in multiple regions. Each transaction must be handled consistently in their database, and they anticipate almost unlimited growth in the amount of data stored. Which Google Cloud product should the organization choose?
Question 74
An organization has servers running mission-critical workloads on-premises around the world. They want to modernize their infrastructure with a multi-cloud architecture. What benefit could the organization experience?
Question 75
An organization needs to run frequent updates for their business app. Why should the organization use Google Kubernetes Engine (GKE)?
Question 76
An organization wants to use Apigee to manage all their application programming interfaces (APIs). What will Apigee enable the organization to do?
Question 77
An e-commerce organization is reviewing their cloud data storage. What type of raw data can they store in a relational database without any processing?
Question 78
A hotel wants to modernize their legacy systems so that customers can make reservations through a mobile app. What's the benefit of using an application programming interface (API) to do this?
Question 79
An organization wants to digitize and share large volumes of historical text and images. Why is a public cloud a better option than an on-premises solution?
Question 80
An organization wants to develop an application that can be personalized to user preferences throughout the year. Why should they build a cloud-native application instead of modernizing their existing on-premises application?
