Free Google Generative-AI-Leader Exam Dumps Questions & Answers

An organization is collecting data to train a generative AI model for customer service. They want to ensure security throughout the ML lifecycle. What is a critical consideration at this stage?

• A.  Implementing access controls and protecting sensitive information within the training data.
• B.  Establishing ethical guidelines for AI model responses to ensure fairness and avoid harm.
• C.  Applying the latest software patches to the AI model on a regular basis.
• D.  Monitoring the AI model ' s performance for unexpected outputs and potential errors.

A learning and development team wants to quickly create a new hire training video with a custom avatar and voiceover that matches their company ' s branding and key messaging. They did not receive any money to spend on the production. What should they do?

• A.  Create a video with Google Vids.
• B.  Generate the video frames with Imagen.
• C.  Train a model with Vertex AI and produce a video.
• D.  Prompt the Gemini app to create a video.

A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?

• A.  The Gemini app is the primary Google Cloud tool for directly collecting data.
• B.  Google Cloud relies on Vertex AI to connect to external data.
• C.  Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.
• D.  Google Cloud's strengths are in the data analysis tools such as BigQuery.

A software developer needs a highly efficient, open-source large language model that can be fine-tuned on a local machine for rapid prototyping of a chatbot application. They require a model that offers strong performance in natural language understanding and generation, while being lightweight enough to run on limited hardware. Which Google-developed family of models should they use?

• A.  Gemini
• B.  Imagen
• C.  Veo
• D.  Gemma

A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed product information. The company wants to improve search accuracy and efficiency for both customers and support.
What Google Cloud solution should they use?

• A.  Vertex AI Natural Language API
• B.  Vertex AI Conversation
• C.  Pre-built RAG with Vertex AI Search
• D.  Vertex AI Model Garden