ASSESS YOUR KNOWLEDGE AND SKILL SET WITH SAP C_AIG_2412 PRACTICE TEST ENGINE

Assess Your Knowledge and Skill Set with SAP C_AIG_2412 Practice Test Engine

Assess Your Knowledge and Skill Set with SAP C_AIG_2412 Practice Test Engine

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q35-Q40):

NEW QUESTION # 35
How does the Al API support SAP AI scenarios? Note: There are 2 correct answers to this question.

  • A. By managing Kubernetes clusters automatically
  • B. By integrating Al models into third-party platforms like AWS
  • C. By providing a unified framework for operating Al services
  • D. By integrating Al services into business applications

Answer: C,D

Explanation:
The AI API in SAP plays a crucial role in supporting AI scenarios by facilitating the integration of AI services into business applications and providing a unified framework for operating these services.
1. Integration of AI Services into Business Applications:
* Seamless Integration:The AI API enables developers to incorporate AI functionalities directly into SAP and non-SAP business applications, enhancing their capabilities with intelligent features.
* Use Case Example:Integrating AI models into SAP Build Apps allows for the creation of AI-powered applications that can perform tasks such as data analysis, predictive modeling, and more.
2. Unified Framework for Operating AI Services:
* Standardized Operations:The AI API provides a consistent and standardized framework for managing AI services, ensuring uniformity in deployment, monitoring, and maintenance across different platforms.
* Scalability and Flexibility:This unified approach allows for scalable AI operations, accommodating various AI models and services within a cohesive operational structure.


NEW QUESTION # 36
What is a Large Language Model (LLM)?

  • A. A database system optimized for storing large volumes of textual data.
  • B. A gradient boosted decision tree algorithm for predicting text.
  • C. A rule-based expert system to analyze and generate grammatically correct sentences.
  • D. An Al model that specializes in processing, understanding, and generating human language.

Answer: D

Explanation:
A Large Language Model (LLM) is an advanced AI model designed to handle various natural language processing tasks.
1. Definition and Purpose:
* Processing:LLMs analyze human language to understand syntax, semantics, and context.
* Understanding:They interpret the meaning behind text, enabling comprehension of nuanced language elements.
* Generating:LLMs can produce coherent and contextually appropriate text, facilitating tasks like content creation and translation.
2. Characteristics of LLMs:
* Scale:These models are trained on vast datasets, encompassing billions of words, which enhances their language capabilities.
* Architecture:LLMs typically utilize complex neural network architectures, such as transformers, to manage and process language data effectively.
3. Applications:
* Content Generation:Creating articles, summaries, and reports.
* Language Translation:Converting text from one language to another with high accuracy.
* Conversational Agents:Powering chatbots and virtual assistants to interact with users naturally.


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

Answer:

Explanation:


NEW QUESTION # 38
How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.

  • A. By implementing responsible Al use guidelines and strong product security standards.
  • B. By relying on external vendors to manage security threats.
  • C. By focusing on technological advancement only.
  • D. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.

Answer: A,D

Explanation:
SAP addresses vulnerability risks associated with generative AI through a comprehensive strategy:
1. Implementation of Responsible AI Use Guidelines and Strong Product Security Standards:
* AI Ethics Policy:SAP has established an AI Ethics Policy that mandates responsible AI usage, ensuring that AI systems are designed and deployed ethically, with considerations for fairness, transparency, and accountability.
* Product Security Standards:SAP integrates robust security measures into its AI products, adhering to stringent security protocols to protect against vulnerabilities and potential threats.
2. Identification of Risks through an AI Security Taskforce:
* AI Security Taskforce:SAP has established an AI Security Taskforce dedicated to identifying and mitigating risks associated with generative AI, including human factors, technical vulnerabilities, and data exfiltration threats.


NEW QUESTION # 39
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. Weigh the cost of using advanced models against the expected return on investment
  • B. Avoid subscription-based pricing models
  • C. Use pricing models that have fixed rates irrespective of the usage patterns
  • D. Adopt best practice pricing strategies, such as outcome-based pricing

Answer: A,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 # 40
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