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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q39-Q44):
NEW QUESTION # 39
What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?
- A. Design new product interfaces for SAP applications
- B. Get more training data for new models
- C. Train new models using SAP and non-SAP data
- D. Enhance the accuracy and relevance of Al applications that use SAP's data assets
Answer: D
Explanation:
Leveraging different models from multiple providers through SAP's Generative AI Hub offers significant advantages:
1. Access to a Diverse Range of Large Language Models (LLMs):
* Integration with Multiple Providers:SAP's Generative AI Hub provides instant access to a broad spectrum of LLMs from various providers, such as GPT-4 by Azure OpenAI andopen-source models like Falcon-40b.
2. Enhancing Accuracy and Relevance:
* Model Selection Flexibility:By offering a variety of models, developers can select the most suitable one for their specific use cases, thereby enhancing the accuracy and relevance of AI applications that utilize SAP's data assets.
3. Seamless Orchestration and Integration:
* Orchestration Capabilities:The Generative AI Hub enables the orchestration of multiple models, allowing for seamless integration into SAP solutions like SAP S/4HANA and SAP SuccessFactors.
NEW QUESTION # 40
Which of the following is unique about SAP's approach to Al?
- A. Offering Al capabilities in their future products as of 2025.
- B. Focusing Al solely on customer support services.
- C. Utilizing Al mainly for marketing purposes.
- D. SAP's deep integration of Al with business processes and analytics.
Answer: D
Explanation:
SAP distinguishes itself by deeply embedding Artificial Intelligence (AI) into its core business processes and analytics, enhancing efficiency and decision-making across various enterprise functions.
1. Integration of AI into Business Processes:
* SAP Business AI:SAP focuses on solving customers' business problems by integrating AI directly into business processes, rather than offering general-purpose AI platforms. This approach ensures that AI solutions are tailored to specific business needs, enhancing process efficiency and effectiveness.
* SAP S/4HANA Integration:By embedding AI into SAP S/4HANA, SAP enables real-time data analysis and process optimization. This integration allows for improved supply chain efficiency, enhanced financial decision-making, and personalized customer experiences.
2. AI-Driven Analytics:
* SAP Analytics Cloud:This solution combines AI with analytics and planning, unlocking the full potential of business data. It provides advanced analytics capabilities, enabling businesses to make informed decisions based on real-time insights.
* Predictive Analytics Library:SAP HANA includes a Predictive Analytics Library with native algorithms for statistical measures, clustering, classification, and time series analysis. This facilitates advanced data processing and predictive analytics within business applications.
3. AI in Enterprise Applications:
* SAP SuccessFactors:AI is integrated into SAP SuccessFactors to enhance human resources processes, such as talent acquisition and employee engagement, by providing data-driven insights and automating routine tasks.
* SAP AI Business Services:These services offer reusable AI capabilities that can be integrated across various business processes, automating tasks like document processing andenriching customer experiences.
NEW QUESTION # 41
What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?
- A. To reduce the storage space required for the vector database
- B. To enable the matching of different relevant passages to user queries
- C. To improve the efficiency of encoding queries into vector representations
- D. To simplify the process of training the embedding model
Answer: B
NEW QUESTION # 42
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.
- A. Al models that generate new content based on training data
- B. Rule-based algorithms
- C. Robotic process automation
- D. Foundation models
Answer: A,D
Explanation:
Generative AI encompasses technologies that create new content by learning from existing data.
1. AI Models That Generate New Content Based on Training Data:
* Definition:These models analyze large datasets to produce original outputs, such as text, images, or music, that resemble the patterns found in the training data.
* Examples:Models like GPT-4 generate human-like text, while DALL E creates images from textual descriptions.
2. Foundation Models:
* Definition:Foundation models are large-scale AI models trained on extensive data across various domains. They serve as a base for fine-tuning on specific tasks, enabling versatility in applications.
* Examples:Models such as BERT and GPT-3 are foundation models that can be adapted for tasks like translation, summarization, or content generation.
NEW QUESTION # 43
What are some functionalities provided by SAP Al Core?
Note: There are 3 correct answers to this question.
- A. Orchestration of Al workflows such as model training and inference
- B. Integration of Al services with business applications using a standardized API
- C. Monitoring and retraining models in SAP Al Core
- D. Continuous delivery and tenant isolation for scalability
- E. Management of SAP S/4HANA cloud infrastructure
Answer: A,B,D
NEW QUESTION # 44
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