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C-AIG-2412 Exam Assessment, Exam C-AIG-2412 Revision Plan

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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

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 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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q28-Q33):

NEW QUESTION # 28
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 provide isolation for datasets and Al artifacts.
C. They ensure workload separation for different tenants or departments.
D. They enable simultaneous orchestration of Kubernetes clusters.

Answer: B,C

NEW QUESTION # 29
Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.

A. Ready-to-use Al services
B. Open source Al model repository
C. Al runtimes and lifecycle management
D. Joule integration in SAP SuccessFactors

Answer: A,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 # 30
What does the Prompt Management feature of the SAP AI launchpad allow users to do?

A. Access and manage saved prompts and their versions
B. Create and edit prompts
C. Provide personalized user interactions
D. Interact with models through a conversational interface

Answer: A,B

NEW QUESTION # 31
What is Machine Learning (ML)?

A. A form of Al that only focuses on creating new content, including text, images, sound, and videos.
B. A statistical method for data processing that does not involve any Al techniques.
C. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.
D. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.

Answer: D

Explanation:
Machine Learning (ML) is a branch of Artificial Intelligence (AI) that empowers computer systems to learn from data and experiences, enhancing their performance over time without explicit programming for each task.
1. Definition and Core Concept:
* Learning from Data:ML algorithms process and analyze large datasets to identify patterns and make informed decisions or predictions based on new, unseen data.
* Improvement Over Time:Through iterative processes, ML models refine their accuracy and efficiency as they are exposed to more data, leading to continuous performance enhancement.
2. Types of Machine Learning:
* Supervised Learning:Models are trained on labeled datasets, where the desired output is known, to make predictions or classifications.
* Unsupervised Learning:Models work with unlabeled data to identify inherent structures or patterns without predefined outcomes.
* Reinforcement Learning:Systems learn by interacting with an environment, receiving feedback in the form of rewards or penalties, and adjusting actions accordingly.
3. Applications in SAP's AI Solutions:
* SAP AI Core and AI Launchpad:SAP provides a unified framework for managing and deploying ML models, facilitating seamless integration into business processes.
* Generative AI Hub:This platform offers access to a variety of large language models (LLMs) and supports the orchestration of AI tasks, enabling the development of AI-driven applications.

NEW QUESTION # 32
What is Machine Learning (ML)?

A. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.
B. A form of Al that only focuses on creating new content, including text, images, sound, and videos.
C. A statistical method for data processing that does not involve any Al techniques.
D. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.

Answer: B,C,D

NEW QUESTION # 33
......

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