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SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

Topic 2

SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.

Topic 3

SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.

Topic 4

Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q27-Q32):

NEW QUESTION # 27
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 only requires natural language skills to use.
B. It lowers barriers to adoption.
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 # 28
Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide Al model responses?

A. One-shot prompting
B. Meta prompting
C. Few-shot prompting
D. Chain-of-thought prompting

Answer: B

NEW QUESTION # 29
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 enhance pipeline execution speeds through workload distribution.
B. They ensure workload separation for different tenants or departments.
C. They provide isolation for datasets and Al artifacts.
D. They enable simultaneous orchestration of Kubernetes clusters.

Answer: B,C

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 # 30
What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note: There are 3 correct answers to this question.

A. Maintaining data privacy by using data masking techniques
B. Creating custom evaluators that meet specific business needs
C. Supporting low code evaluations using graphical user interface
D. Automating prompt testing across various scenarios
E. Providing metrics to quantitatively assess response quality

Answer: B,D,E

NEW QUESTION # 31
What is the primary function of the embedding model in a RAG system?

A. To generate responses based on retrieved documents and user queries
B. To evaluate the faithfulness and relevance of generated answers
C. To encode queries and documents into vector representations for comparison
D. To store vector representations of documents and search for relevant passages

Answer: C

NEW QUESTION # 32
......

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