LATEST GENERATIVE-AI-LEADER EXAM LEARNING MATERIALS, GENERATIVE-AI-LEADER TRAINING DUMPS: GOOGLE CLOUD CERTIFIED - GENERATIVE AI LEADER EXAM - EXAMS-BOOST

Latest Generative-AI-Leader Exam Learning Materials, Generative-AI-Leader Training Dumps: Google Cloud Certified - Generative AI Leader Exam - Exams-boost

Latest Generative-AI-Leader Exam Learning Materials, Generative-AI-Leader Training Dumps: Google Cloud Certified - Generative AI Leader Exam - Exams-boost

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q41-Q46):

NEW QUESTION # 41
A financial services company receives a high volume of loan applications daily submitted as scanned documents and PDFs with varying layouts. The manual process of extracting key information is time- consuming and prone to errors. This causes delays in loan processing and impacts customer satisfaction. The company wants to automate the extraction of this critical data to improve efficiency and accuracy. Which Google Cloud tool should they use?

  • A. Dataflow
  • B. Natural Language API
  • C. Document AI API
  • D. Vision AI

Answer: C

Explanation:
Document AI API is specifically designed for intelligent document processing. It uses machine learning to extract structured data from unstructured documents like scanned forms and PDFs, even with varying layouts.
This directly addresses the challenge of automating data extraction from loan applications. Natural Language API focuses on text understanding, Vision AI on image analysis (not structured extraction from documents), and Dataflow is for data processing pipelines.
________________________________________


NEW QUESTION # 42
A company wants to adopt generative AI and is concerned about vendor lock-in. They want to maintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?

  • A. Google Cloud's AI solutions have an open approach that supports customer choice across offerings.
  • B. Google Cloud's AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.
  • C. Google Cloud's strict adherence to proprietary technologies ensures the highest level of security and performance.
  • D. Google Cloud's focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.

Answer: A

Explanation:
Google Cloud promotes an open and flexible approach to its AI offerings, supporting open standards, open- source initiatives (like TensorFlow, Kubernetes, and Gemma), and providing various integration options. This helps alleviate vendor lock-in concerns by giving customers choice and control over their technology stack.
________________________________________


NEW QUESTION # 43
A global news agency is developing a generative AI tool to quickly summarize breaking newsarticles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?

  • A. Vertex AI Natural Language API
  • B. Document AI
  • C. BigQuery
  • D. Grounding with Google Search

Answer: D

Explanation:
For summarizing breaking news articles as they emerge online from various global sources, the generative AI model needs access to current, broad, and rapidly updating information. Grounding with Google Search allows the LLM to pull in the latest information from the web, ensuring the summaries are current and comprehensive. While Vertex AI Natural Language API can summarize text, it wouldn't inherently have access to the latest breaking news unless explicitly fed.
________________________________________


NEW QUESTION # 44
A retail company with a large online catalog wants to improve customer experience and drive sales by implementing multimodal search capabilities (image, voice, and text). What is a primary business benefit of this capability?

  • A. Improved customer engagement and product discovery leading to increased satisfaction and potential sales.
  • B. Lowered operational costs associated with managing and updating product information across different platforms and channels.
  • C. Streamlined inventory management processes and more accurate demand forecasting for popular items.
  • D. Reduced dependency on keyword optimization for product listings and improved search engine rankings.

Answer: A

Explanation:
Multimodal search directly enhances the customer experience by allowing them to find products using various intuitive methods (images, voice, text). This leads to easier product discovery, higher engagement, and ultimately increased customer satisfaction and potential sales, which is a primary business benefit.
________________________________________


NEW QUESTION # 45
A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud's RAG APIs in this scenario?

  • A. They provide a pre-built user interface for the chatbot, simplifying the front-end development process.
  • B. They automatically create summaries of all company policies, which are then presented to employees as quick answers.
  • C. They allow the development team to train a single foundation model on all company documents.
  • D. They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.

Answer: D

Explanation:
The primary benefit of RAG (Retrieval-Augmented Generation) in this context is its ability to ensure the chatbot provides accurate and up-to-date information. By retrieving relevant and recent policy documents from Cloud Storage in real-time and then grounding the LLM's response with this information, the chatbot avoids hallucinating or providing outdated answers, which is crucial for an internal knowledge base.
________________________________________


NEW QUESTION # 46
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