2.1 Describe Google Cloud's Strengths in the Field of Gen AI. GENERATIVE-AI-LEADER Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A manufacturing company wants to deploy a gen AI predictive maintenance system. They have a mix of on-premises and cloud workloads and want to avoid vendor lock-in. They also need to process data at the edge for low latency, and they require high availability. The IT team is comfortable with open-source technologies. Which approach best aligns with Google Cloud's strengths?

   • ADeploy everything on-premises and use no cloud services.
   • BUse Google Cloud's open-source support, edge computing, and global infrastructure for high availability.
   • CUse only Google's proprietary models and services to simplify management.
   • DUse a single large GPU instance in the cloud for all processing.
   Reveal Solution Discussion Select an answer first
2. 12expert · hard · select all that apply

   A financial institution is deploying a gen AI system for fraud detection. They require high availability, low latency, and strict data governance. They also need to scale to handle peak transaction volumes. Select all the Google Cloud strengths that are directly relevant to these requirements.

   • AEnterprise-ready reliability and scalability.
   • BDemocratization tools for non-developers.
   • COpen-source model support for flexibility.
   • DData control and governance features.
   • EAI-optimized infrastructure for low-latency inference.
   Check answers Discussion Select an answer first
4. 13foundation · easy

   Which offering helps democratize AI by allowing users to access AI capabilities without building models from scratch?

   • AOn-premises server racks
   • BCustom silicon development kits
   • CPre-trained models and APIs
   • DManual data labeling services
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   Which attribute is part of Google Cloud's enterprise-ready AI platform?

   • ALimited scalability
   • BReliability
   • CLack of security controls
   • DSingle-tenant only
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A non-profit organization wants to create an AI-powered document summarization tool for their staff. They have no ML engineers and a limited budget. They also want the tool to work seamlessly with their Google Drive documents. What is the best approach?

   • ABuild a rule-based system using simple scripts.
   • BTrain a custom model from scratch using Vertex AI.
   • CUse a pre-trained model via an API and integrate it with Google Drive.
   • DUse a third-party tool that requires manual file uploads.
   Reveal Solution Discussion Select an answer first