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Pass Guaranteed Updated SAP - C_AIG_2412 - Latest SAP Certified Associate - SAP Generative AI Developer Exam Questions

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SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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.

Topic 3

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 4

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.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q12-Q17):

NEW QUESTION # 12
What is the primary function of the embedding model in a RAG system?

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

Answer: D

NEW QUESTION # 13
What are some features of Joule?
Note: There are 3 correct answers to this question.

A. Downloading and processing data.
B. Generating standalone applications.
C. Providing coding assistance and content generation.
D. Maintaining data privacy while offering generative Al capabilities.
E. Streamlining tasks with an Al assistant that knows your unique role.

Answer: C,D,E

NEW QUESTION # 14
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 enable simultaneous orchestration of Kubernetes clusters.
C. They enhance pipeline execution speeds through workload distribution.
D. They provide isolation for datasets and Al artifacts.

Answer: A,D

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 # 15
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.

A. Ease of use
B. Availability of skilled developers
C. Significant hardware cost savings
D. Wide availability

Answer: A,D

NEW QUESTION # 16
You want to extract useful information from customer emails to augment existing applications in your company.
How can you use generative-ai-hub-sdk in this context?

A. Generate a new SAP application based on the mail data.
B. Generate random email content and send them to customers.
C. Train custom models based on the mail data.
D. Generate JSON strings based on extracted information.

Answer: D

Explanation:
The generative-ai-hub-sdk in SAP's Generative AI Hub enables developers to interact with large language models (LLMs) for various tasks, including information extraction and data formatting.
1. Extracting Information from Customer Emails:
* Natural Language Processing (NLP):By leveraging LLMs, the SDK can process unstructured email content to identify and extract pertinent information, such as customer inquiries, sentiments, or intents.
2. Generating JSON Strings:
* Structured Data Output:After extracting the necessary information, the SDK can format the data into JSON strings. This structured format is essential for integrating the extracted information into existing applications, facilitating seamless data exchange and processing.
3. Integration into Existing Applications:
* Application Enhancement:The JSON-formatted data can be utilized to augment existing applications, such as customer relationship management (CRM) systems, by providing insights derived from customer emails, thereby improving decision-making and customerinteractions.

NEW QUESTION # 17
......

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