2.1 Describe Google Cloud's Strengths in the Field of Gen AI. GENERATIVE-AI-LEADER Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A retail company wants to build a customer-service chatbot. They have an existing investment in open-source models and want to avoid being locked into a single vendor. They also need to integrate the chatbot with their existing Google Workspace tools. Which approach best aligns with Google Cloud's strengths?

   • AUse a third-party cloud provider's proprietary chatbot service and connect it to Google Workspace via email.
   • BDeploy an open-source model on Google Cloud's AI-optimized infrastructure, and use APIs to integrate with Google Workspace.
   • CBuild a custom model from scratch using only Google's pre-trained models and no external frameworks.
   • DUse only proprietary Google models via the Gemini API and migrate all customer data to Google Cloud.
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2. 7foundation · easy

   Which component is part of Google Cloud's AI-optimized infrastructure?

   • ALegacy mainframe computers
   • BManual data entry terminals
   • CTPUs (Tensor Processing Units)
   • DStandard office printers
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4. 8expert · hard

   A software company is building a gen AI assistant that will be embedded in their product, which is used by millions of customers. They want to leverage Google's ecosystem to provide a seamless experience across Google Workspace and Android. They also want to enable their customers to customize the assistant with low-code tools. The company is concerned about the assistant's ability to handle the scale of millions of users. Which approach best leverages Google Cloud's strengths?

   • AUse an open-source model and host it on a competitor's cloud to avoid lock-in.
   • BBuild a custom model from scratch and deploy it on a single large VM.
   • CUse Google Cloud's gen AI APIs, integrate with Workspace and Android, and provide low-code customization tools.
   • DUse Google's proprietary models only and do not allow customization.
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A research lab is training a large language model from scratch. They need to minimize training time and cost while using state-of-the-art hardware. They also want to benefit from Google's ongoing innovations in AI hardware. Which Google Cloud offering is most aligned with these needs?

   • AUse a third-party cloud provider's generic cloud computing without specialized AI hardware.
   • BLeverage Google Cloud's AI-optimized infrastructure, including TPUs and GPUs, via the Hypercomputer.
   • CDeploy the training job on a single powerful GPU instance without distributed computing.
   • DUse standard preemptible VMs with generic CPUs for distributed training.
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6. 10expert · hard

   A research organization is training a massive language model. They need to minimize training time and cost. They also want to ensure that the training infrastructure is reliable and can be scaled up as the model grows. The organization is evaluating Google Cloud's AI-optimized infrastructure. What is the most important consideration?

   • AThe availability of open-source frameworks for flexibility.
   • BThe low-code tools for rapid prototyping.
   • CThe integration of TPUs, GPUs, and networking in the Hypercomputer for high performance.
   • DThe number of data centers available globally.
   Reveal Solution Discussion Select an answer first