4.1 Describe the Google Cloud-Recommended Steps to Successfully Implement a Transformational Gen AI Solution. GENERATIVE-AI-LEADER Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   A company wants to evaluate whether a gen AI solution for generating marketing copy is effective. Which technique is best suited for this evaluation?

   • AReviewing the model's training data size
   • BA/B testing the generated copy against human-written copy
   • CChecking the model's license agreement
   • DMeasuring the model's inference speed
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2. 17expert · hard

   A retail company has deployed a gen AI solution that generates product descriptions. They want to measure the solution's impact on sales conversion and SEO ranking. They also want to ensure the descriptions are accurate and do not mislead customers. Which evaluation approach is MOST comprehensive?

   • AMeasure the time taken to generate descriptions and the cost per description.
   • BUse automated metrics like BLEU score to evaluate the quality of the descriptions.
   • CConduct a manual review of a sample of descriptions for accuracy and compliance.
   • DTrack conversion rates and SEO rankings for products with AI-generated descriptions compared to a control group.
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4. 18application · medium

   A manufacturing company wants to implement a gen AI solution to automate quality control by analyzing images of products on the assembly line. They have a large dataset of labeled images and need to deploy the solution with low latency. They also want to continuously improve the model based on new data. Which integration step is MOST critical for this implementation?

   • ASelecting a pre-trained image generation model from Model Garden.
   • BDeploying the model to a Compute Engine VM for maximum control.
   • CPlanning the data pipeline to continuously feed new labeled images into the training process.
   • DDefining success metrics such as defect detection accuracy and false positive rate.
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5. 19application · medium

   A government agency wants to implement a gen AI solution to automate the drafting of public documents. They have a strict requirement for data residency and need to ensure the solution is secure and compliant. They also want to measure the reduction in drafting time. What is the MOST appropriate deployment approach?

   • AUse a public gen AI API without considering data residency, as it's the easiest option.
   • BDeploy the gen AI model on-premises or in a dedicated region that meets data residency requirements.
   • CDeploy the model on a shared infrastructure to reduce costs, ignoring data residency.
   • DUse a multi-region deployment to improve availability, even if it means data may leave the required region.
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6. 20foundation · easy

   What is the first step in the Google Cloud-recommended sequence to integrate a gen AI solution into an organization?

   • ADeploy the model to production
   • BFine-tune the model on company data
   • CDefine the business problem and success criteria
   • DSet up monitoring and logging
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