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1. A company's large learning model (LLM) is producing hallucinations that are a result of the Knowledge cutoff. How does retrieval-augmented generation (RAG) overcome this limitation?

A) RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses.
B) RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources.
C) RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiency of response generation.
D) RAG uses human oversight to ensure accuracy before presenting information to the customer.

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

3. A company's development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly. What Google Cloud benefit would help the company achieve their goal?

A) Google Cloud's focus on continuous improvement provides access to the latest AI tools, features, and best practices.
B) Google Cloud's comprehensive training materials and tutorials to help developers.
C) Google Cloud's pre-trained models and low- and no-code AI tools and services.
D) Google Cloud's collaborative AI community and support forums connect developers with AI experts.

4. 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) Vision AI
C) Document AI API
D) Natural Language API

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

問題與答案：