Valid New C_AIG_2412 Test Registration & Free PDF Online C_AIG_2412 Lab Simulation: SAP Certified Associate - SAP Generative AI Developer

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SAP C_AIG_2412 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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 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 4	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.

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

NEW QUESTION # 39
What are some features of Joule?
Note: There are 3 correct answers to this question.

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

Answer: B,C,E

Explanation:
B: Providing coding assistance and content generation:
* Coding:Joule can help developers write code faster and with fewer errors. Imagine you need to create a simple report in ABAP (SAP's programming language). Instead of remembering the exact syntax and functions, you could describe what you need to Joule in plain English. It could then generate the code snippet, saving you time and reducing the chance of mistakes. This applies to other coding languages too, not just those within the SAP ecosystem.
* Content generation:Joule can create different kinds of content, such as:
* Emails:Need to send a quick update to your team? Tell Joule what information to include, and it can draft the email for you.
* Reports:Joule can analyze data and generate summaries or reports based on your requirements.
* Presentations:Need to create a slide deck? Joule can help you structure it and even suggest relevant content.
* Translations:Joule can translate text between multiple languages, making it easier to collaborate with colleagues around the world.
C: Maintaining data privacy while offering generative AI capabilities:
* Data security is paramount:SAP understands that businesses deal with sensitive data. Joule is built with strong security measures to protect this information. This includes things like encryption and access controls to ensure that only authorized users can see sensitive data.
* Privacy-preserving AI:Joule uses techniques like differential privacy to ensure that AI models don't inadvertently reveal private information while still providing valuable insights. This means that even if Joule learns from your company's data, it won't be possible to reconstruct that data or identify individuals from the AI's output.
D: Streamlining tasks with an AI assistant that knows your unique role:
* Personalized experience:Joule learns about your job title, department, and the tasks you typically perform. This allows it to provide more relevant and helpful suggestions.
* Contextual awareness:Joule understands the context of your work. For example, if you're a financial analyst, Joule will prioritize providing assistance related to finance tasks and data.
* Proactive help:Joule doesn't just wait for you to ask questions. It can anticipate your needs and proactively offer help. For instance, if you're working on a sales forecast, Joule might suggest relevant data sources or provide insights from previous forecasts.
In essence, Joule aims to be a powerful AI assistant that makes your work life easier and more efficient while keeping your data safe and respecting your privacy.

NEW QUESTION # 40
Which of the following executables in generative Al hub works with Anthropic models?

A. AWS Bedrock
B. Azure OpenAl Service
C. GCP Vertex Al
D. SAP AI Core

Answer: A

NEW QUESTION # 41
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.

A. Foundation models
B. Rule-based algorithms
C. Robotic process automation
D. Al models that generate new content based on training data

Answer: A,D

Explanation:
Generative AI encompasses technologies that create new content by learning from existing data.
1. AI Models That Generate New Content Based on Training Data:
* Definition:These models analyze large datasets to produce original outputs, such as text, images, or music, that resemble the patterns found in the training data.
* Examples:Models like GPT-4 generate human-like text, while DALL E creates images from textual descriptions.
2. Foundation Models:
* Definition:Foundation models are large-scale AI models trained on extensive data across various domains. They serve as a base for fine-tuning on specific tasks, enabling versatility in applications.
* Examples:Models such as BERT and GPT-3 are foundation models that can be adapted for tasks like translation, summarization, or content generation.

NEW QUESTION # 42
Which neural network architecture is primarily used by LLMs?

A. Convolutional Neural Networks (CNNs)
B. Recurrent neural network architecture
C. Sequential encoder-decoder architecture
D. Transformer architecture with self-attention mechanisms

Answer: D

NEW QUESTION # 43
How does the Al API support SAP AI scenarios? Note: There are 2 correct answers to this question.

A. By managing Kubernetes clusters automatically
B. By integrating Al models into third-party platforms like AWS
C. By providing a unified framework for operating Al services
D. By integrating Al services into business applications

Answer: C,D

Explanation:
The AI API in SAP plays a crucial role in supporting AI scenarios by facilitating the integration of AI services into business applications and providing a unified framework for operating these services.
1. Integration of AI Services into Business Applications:
* Seamless Integration:The AI API enables developers to incorporate AI functionalities directly into SAP and non-SAP business applications, enhancing their capabilities with intelligent features.
* Use Case Example:Integrating AI models into SAP Build Apps allows for the creation of AI-powered applications that can perform tasks such as data analysis, predictive modeling, and more.
2. Unified Framework for Operating AI Services:
* Standardized Operations:The AI API provides a consistent and standardized framework for managing AI services, ensuring uniformity in deployment, monitoring, and maintenance across different platforms.
* Scalability and Flexibility:This unified approach allows for scalable AI operations, accommodating various AI models and services within a cohesive operational structure.

NEW QUESTION # 44
......

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VALID NEW C_AIG_2412 TEST REGISTRATION & FREE PDF ONLINE C_AIG_2412 LAB SIMULATION: SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER

Valid New C_AIG_2412 Test Registration & Free PDF Online C_AIG_2412 Lab Simulation: SAP Certified Associate - SAP Generative AI Developer