RELIABLE C-AIG-2412 EXAM TIPS, C-AIG-2412 EXAM REVISION PLAN

Reliable C-AIG-2412 Exam Tips, C-AIG-2412 Exam Revision Plan

Reliable C-AIG-2412 Exam Tips, C-AIG-2412 Exam Revision Plan

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SAP C-AIG-2412 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q39-Q44):

NEW QUESTION # 39
Which of the following is unique about SAP's approach to Al?

  • A. Offering Al capabilities in their future products as of 2025.
  • B. Utilizing Al mainly for marketing purposes.
  • C. SAP's deep integration of Al with business processes and analytics.
  • D. Focusing Al solely on customer support services.

Answer: C

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 # 40
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

  • A. Simplified model retraining and performance improvement.
  • B. Centralized Al lifecycle management for all Al scenarios.
  • C. Direct deployment of Al models to SAP HAN
  • D. Integration with non-SAP platforms like Azure and AWS.

Answer: A,B


NEW QUESTION # 41
What capabilities does the Exploration and Development feature of the generative Al hub provide? Note:
There are 2 correct answers to this question.

  • A. Al playground and chat
  • B. Automatic model selection
  • C. Prompt editor and management
  • D. Develop and debug ABAP code

Answer: A,C

Explanation:
The Exploration and Development feature of SAP's Generative AI Hub provides several capabilities to facilitate AI solution development:
1. AI Playground and Chat:
* Interactive Environment:The AI playground offers an interactive space for developers to experiment with various AI models, test prompts, and observe outputs in real-time.
* Conversational Interface:The chat functionality enables users to engage in dialogue with AI models, refining prompts and understanding model behavior through iterative interactions.
2. Prompt Editor and Management:
* Prompt Creation:The prompt editor allows developers to craft and modify prompts tailored to specific business needs, enhancing the precision of AI responses.
* Prompt Organization:Prompt management tools facilitate the organization, versioning, and storage of prompts, ensuring efficient retrieval and reuse in various projects.


NEW QUESTION # 42
How does SAP ensure the enterprise-readiness of its Al solutions?

  • A. By ensuring that Al models make bias-free decisions without human input
  • B. By using generic Al models without business context complying with Al ethics standards
  • C. By implementing rigorous product standards for Al capabilities

Answer: C


NEW QUESTION # 43
What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?

  • A. Train new models using SAP and non-SAP data
  • B. Design new product interfaces for SAP applications
  • C. Get more training data for new models
  • 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 # 44
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