1.3 Identify the Core Layers of the Gen AI Landscape and the Business Implications. GENERATIVE-AI-LEADER Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A mobile app developer needs to add a code-completion feature that suggests snippets as users type. The app must work offline and on low-end devices. Which model approach is most suitable?

   • AUse a fine-tuned model hosted on a central server with caching.
   • BDeploy a small, quantized model on-device that runs locally.
   • CCall a large cloud-hosted model via API for each suggestion.
   • DRely on a rule-based snippet library that matches keywords.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which set of components is correctly identified as the core infrastructure layer for a generative AI system?

   • AFoundation models, fine-tuned models, and specialized models that are selected for specific tasks
   • BChatbots, content generators, and code assistants that deliver user-facing functionality
   • CModel hubs, MLOps tools, and orchestration frameworks that manage the AI lifecycle
   • DCompute, storage, and networking resources that provide the underlying capacity for training and inference
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A marketing agency wants to generate personalized ad copy for different customer segments. They have a limited budget and need to produce hundreds of variations quickly. What is the most cost-effective and efficient approach?

   • AUse a template-based system that fills in blanks with segment-specific keywords.
   • BTrain a custom model from scratch on past ad campaigns.
   • CHire a team of copywriters to manually create each variation.
   • DUse a foundation model via API with prompts tailored to each segment.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is the primary role of an AI platform (e.g., a model hub or MLOps tool) in the gen AI landscape?

   • ATo enable the development, deployment, and governance of AI models
   • BTo directly serve end users with conversational interfaces
   • CTo provide the raw compute, storage, and networking needed for training models
   • DTo define the ethical guidelines for AI use within an organization
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   A company is evaluating the business implications of building its own generative AI infrastructure versus using a cloud provider. Which business implication is most directly tied to the infrastructure layer?

   • AThe ability to choose between different foundation models for a specific task
   • BThe ease of integrating AI features into existing customer-facing applications
   • CThe governance policies that ensure models are used ethically and without bias
   • DThe scalability of compute resources to handle variable training and inference demand
   Reveal Solution Discussion Select an answer first