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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q62-Q67):
NEW QUESTION # 62
You want to extract useful information from customer emails to augment existing applications in your company.
How can you use generative-ai-hub-sdk in this context?
- A. Generate JSON strings based on extracted information.
- B. Generate a new SAP application based on the mail data.
- C. Generate random email content and send them to customers.
- D. Train custom models based on the mail data.
Answer: A
NEW QUESTION # 63
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.
- A. Wide availability
- B. Ease of use
- C. Availability of skilled developers
- D. Significant hardware cost savings
Answer: A,B
Explanation:
The rapid adoption of generative AI is driven by several key factors:
1. Wide Availability:
* Access to Generative AI Tools:The proliferation of generative AI tools and platforms has made the technology widely accessible to businesses and individuals. This widespread availability facilitates experimentation and integration into various applications.
2. Ease of Use:
* User-Friendly Interfaces:Modern generative AI tools often feature intuitive interfaces that require minimal technical expertise, enabling a broader range of users to leverage AI capabilities without deep technical knowledge.
NEW QUESTION # 64
Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.
- A. Open source Al model repository
- B. Al runtimes and lifecycle management
- C. Ready-to-use Al services
- D. Joule integration in SAP SuccessFactors
Answer: B,C
Explanation:
SAP AI Foundation is an all-in-one AI toolkit that provides developers with the necessary tools to build AI- powered extensions and applications on SAP Business Technology Platform (SAP BTP).
1. Ready-to-Use AI Services:
* Pre-Built AI Capabilities:AI Foundation offers a suite of ready-to-use AI services, enabling developers to integrate AI functionalities into their applications without the need to build models from scratch. These services include capabilities such as document information extraction, translation, and personalized recommendations.
2. AI Runtimes and Lifecycle Management:
* Comprehensive AI Management:AI Foundation provides tools for managing AI runtimes and the entire AI lifecycle, including model deployment, monitoring, and maintenance. This ensures that AI models operate efficiently and remain up-to-date, facilitating seamless integration into business processes.
3. Integration with SAP BTP:
* Unified Platform:By integrating with SAP BTP, AI Foundation allows for the development of AI solutions that are grounded in business data and context, ensuring relevance and reliability in AI-driven applications.
NEW QUESTION # 65
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.
- A. Use pricing models that have fixed rates irrespective of the usage patterns
- B. Adopt best practice pricing strategies, such as outcome-based pricing
- C. Avoid subscription-based pricing models
- D. Weigh the cost of using advanced models against the expected return on investment
Answer: B,D
Explanation:
When evaluating pricing and rate information for model usage within SAP's Generative AI Hub, SAP recommends:
1. Adopting Best Practice Pricing Strategies:
* Outcome-Based Pricing:Implementing pricing strategies that align costs with achieved outcomes ensures that expenditures are directly tied to the value derived from AI models.
2. Assessing Cost Against Expected Return on Investment (ROI):
* Cost-Benefit Analysis:Carefully evaluating the expenses associated with advanced models in relation to the anticipated ROI helps in making informed decisions about model selection and usage.
Conclusion:
By adopting best practice pricing strategies and assessing costs against expected ROI, businesses can make informed decisions regarding model usage within SAP's Generative AI Hub, ensuring cost-effectiveness and value alignment.
NEW QUESTION # 66
What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question.
- A. Provide libraries for no-code development
- B. Send your data to various LLM providers for training feedback
- C. Accelerate Al development with flexible access to a broad range of models
- D. Build custom Al solutions and extend SAP applications
Answer: C,D
Explanation:
SAP's Generative AI Hub offers several benefits that enhance AI development and integration within business processes:
1. Accelerate AI Development with Flexible Access to a Broad Range of Models:
* Diverse Model Access:The Generative AI Hub provides instant access to a wide array of large language models (LLMs) from various providers, such as GPT-4 by Azure OpenAI and open-source models like Falcon-40b.
* Flexible Integration:This access allows developers to select and utilize the most suitable models for their specific use cases, thereby accelerating AI development and deployment.
2. Build Custom AI Solutions and Extend SAP Applications:
* Custom AI Solutions:The hub offers a comprehensive toolset for building custom AI solutions, including prompt engineering tools, SDKs, and fine-tuning services.
* Extending SAP Applications:Developers can leverage these tools to create AI-powered extensions for SAP applications like SAP S/4HANA and SAP SuccessFactors, enhancing their functionality and adaptability.
NEW QUESTION # 67
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