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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q34-Q39):

NEW QUESTION # 34
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

A. Executables that define the training process
B. The SAP HANA database for model storage
C. Automated deployment to Kubernetes clusters
D. Input datasets stored in a hyperscaler object store

Answer: A,D

NEW QUESTION # 35
Which of the following are grounding principles included in SAP's AI Ethics framework?
Note: There are 3 correct answers to this question.

A. Human agency and oversight
B. Store all user data for legal proceedings
C. Maximize business profits
D. Transparency and explainability
E. Avoid bias and discrimination

Answer: A,D,E

NEW QUESTION # 36
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?

A. Create a basic prompt in SAP AI Launchpad
*Evaluate various models for the problem using generative-ai-hub-sdk
*Scale the solution using generative-ai-hub-sdk
*Create a baseline evaluation method for the simple prompt
*Enhance the prompts.
B. Create a basic prompt in SAP AI Launchpad
*Scale the solution using generative-ai-hub-sdk
*Create a baseline evaluation method for the simple prompt
*Enhance the prompts
*Evaluate various models for the problem using generative-ai-hub-sdk
C. Create a basic prompt in SAP AI Launchpad
*Enhance the prompts
*Create a baseline evaluation method for the simple prompt
*Evaluate various models for the problem using generative-ai-hub-sdk
*Scale the solution using generative-ai-hub-sdk

Answer: C

Explanation:
SAP recommends the following sequence of steps to effectively solve a business problem using the Generative AI Hub:
1. Create a Basic Prompt in SAP AI Launchpad:
* Initiation:Begin by formulating a simple prompt within SAP AI Launchpad to address the business problem. This serves as the foundation for subsequent refinements.
2. Enhance the Prompts:
* Refinement:Iteratively improve the initial prompt to better capture the nuances of the business problem, ensuring clarity and relevance.
3. Create a Baseline Evaluation Method for the Simple Prompt:
* Establish Metrics:Develop an evaluation framework to assess the performance of the prompt, setting a baseline for comparison as enhancements are made.
4. Evaluate Various Models for the Problem Using generative-ai-hub-sdk:
* Model Assessment:Utilize the generative-ai-hub-sdk to test different large language models (LLMs) against the refined prompt, identifying the model that delivers optimal results.
5. Scale the Solution Using generative-ai-hub-sdk:
* Deployment:Once the optimal model and prompt are determined, employ the generative-ai-hub-sdk to scale the solution, integrating it into the business workflow for widespread application.
Conclusion:
Following this structured approach ensures a methodical development and deployment of AI-driven solutions, enhancing their effectiveness in addressing specific business challenges.

NEW QUESTION # 37
Match the components of a Retrieval Augmented Generation architecture to the diagram.

Answer:

Explanation:

Explanation:
A screenshot of a computer Description automatically generated

NEW QUESTION # 38
What is Machine Learning (ML)?

A. A form of Al that only focuses on creating new content, including text, images, sound, and videos.
B. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.
C. A statistical method for data processing that does not involve any Al techniques.
D. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.

Answer: A,B,C

NEW QUESTION # 39
......

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