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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q32-Q37):
NEW QUESTION # 32
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
NEW QUESTION # 33
What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.
- A. Monitoring and retraining models in SAP Al Core
- B. Continuous delivery and tenant isolation for scalability
- C. Integration of Al services with business applications using a standardized API
- D. Management of SAP S/4HANA cloud infrastructure
- E. Orchestration of Al workflows such as model training and inference
Answer: B,C,E
NEW QUESTION # 34
How do resource groups in SAP AI Core improve the management of machine learning workloads? Note:
There are 2 correct answers to this question.
- A. They ensure workload separation for different tenants or departments.
- B. They provide isolation for datasets and Al artifacts.
- C. They enhance pipeline execution speeds through workload distribution.
- D. They enable simultaneous orchestration of Kubernetes clusters.
Answer: A,B
Explanation:
Resource groups in SAP AI Core play a vital role in managing machine learning workloads by offering mechanisms for separation and isolation, which are essential for maintaining efficiency and security.
1. Ensuring Workload Separation for Different Tenants or Departments:
* Multitenancy Support:Resource groups enable the segregation of workloads among various tenants or departments within an organization, ensuring that each unit's processes are isolated and managed independently.
* Operational Efficiency:This separation prevents interference between workloads, allowing for tailored resource allocation and management strategies that meet the specific needs of each tenant or department.
NEW QUESTION # 35
Why is generative Al gaining significant attention and investment in the current business landscape? Note:
There are 2 correct answers to this question.
- A. It lowers barriers to adoption.
- B. It only requires natural language skills to use.
- C. It can replicate complex technical skills without training or quality control.
- D. It can run entire business operations without human intervention.
Answer: A,B
Explanation:
Generative AI is attracting significant attention and investment in the current business landscape due to several compelling factors:
1. Lowering Barriers to Adoption:
* Accessibility of Tools:The proliferation of user-friendly generative AI tools has made advanced AI capabilities accessible to a broader audience, including those without specialized technical expertise.
* Integration with Existing Systems:Generative AI solutions, such as SAP's Joule, are designed to integrate seamlessly with existing business systems, reducing the complexity and cost associated with adoption.
2. Natural Language Interaction:
* Ease of Use:Generative AI models are capable of understanding and processing natural language inputs, allowing users to interact with AI systems using everyday language. This reduces the need for specialized training and enables more intuitive user experiences.
* Enhanced User Engagement:The ability to communicate with AI systems in natural language fosters greater user engagement and facilitates the integration of AI into daily business operations.
NEW QUESTION # 36
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 # 37
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