2.1 Describe Google Cloud's Strengths in the Field of Gen AI. GENERATIVE-AI-LEADER Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   How does Google Cloud's AI platform democratize AI development?

   • ABy requiring users to have advanced machine learning expertise.
   • BBy limiting access to AI experts only.
   • CBy providing low-code/no-code tools and pre-trained models.
   • DBy offering only custom-built models from scratch.
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   What is the benefit of using Google Cloud's AI-optimized infrastructure?

   • AIt provides high performance for AI workloads.
   • BIt is limited to a single region.
   • CIt requires users to manage all hardware manually.
   • DIt is only suitable for small-scale experiments.
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   A government agency wants to build an AI application but has a policy to use open standards and avoid proprietary lock-in. They also have a team with limited ML expertise. Which Google Cloud approach is most suitable?

   • AUse Google's proprietary models exclusively and rely on Google's support.
   • BUse a competitor's cloud that offers proprietary models only.
   • CBuild everything from scratch using low-level infrastructure without any managed services.
   • DUse open-source models and frameworks on Google Cloud, and leverage pre-trained APIs for common tasks.
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5. 29application · medium

   A financial services firm wants to use gen AI to analyze customer transactions. They are concerned about data privacy and want to ensure that their data is not used to train shared models. They also need to comply with strict governance policies. What should they configure?

   • ARely on Google's default settings, which automatically prevent all data usage for training.
   • BUse only open-source models to avoid any data sharing with Google.
   • CUse Google Cloud's data governance tools to set policies that prevent data from being used for model training, and enable encryption.
   • DDeploy the model on-premises to avoid any cloud data processing.
   Reveal Solution Discussion Select an answer first
6. 30foundation · easy

   How does Google's commitment to future innovation contribute to its gen AI solutions?

   • AIt leads to the development of new models and capabilities that push the boundaries of what gen AI can do.
   • BIt ensures that gen AI solutions remain static and unchanged over time.
   • CIt guarantees that all gen AI solutions are free to use.
   • DIt focuses only on improving existing products, not creating new ones.
   Reveal Solution Discussion Select an answer first