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Answer: Use Google App Engine services., Use serverless Google Cloud Functions.
HipLocal's goals include expanding globally, ensuring scalability, and reducing manual infrastructure management. Google App Engine (A) is ideal for automatic scaling and global deployment, fitting the need for a serverless architecture that supports rapid growth and consistent user experience across regions. Google Cloud Functions (B) complements this by offering serverless execution for event-driven components, further reducing the need for manual scaling and infrastructure oversight. These choices directly address the technical requirements for serverless architecture, elastic scaling, and reduced operational overhead, making them the optimal selections. Options C, D, and E either require more manual management or do not fully align with the serverless and scalability objectives.
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HipLocal is expanding its community application globally and needs to improve scalability, monitoring, and reduce manual management. Their current environment includes Compute Engine VM instances for APIs, a single-instance MySQL database, and on-premises data analytics. They aim to adopt serverless architecture, enhance logging, and ensure secure access.
Given these requirements to reduce on-call engineers and eliminate manual scaling, which two Google Cloud services should HipLocal implement? (Choose two.)
(Note: The question retains the original context, corrects minor OCR/formatting inconsistencies, and aligns with Google Cloud service selection criteria.)
A
Use Google App Engine services.
B
Use serverless Google Cloud Functions.
C
Use Knative to build and deploy serverless applications.
D
Use Google Kubernetes Engine for automated deployments.
E
Use a large Google Compute Engine cluster for deployments.