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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	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 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	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 passleader free questions & C-AIG-2412 valid practice dumps

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q35-Q40):

NEW QUESTION # 35
What is a Large Language Model (LLM)?

A. A gradient boosted decision tree algorithm for predicting text.
B. A rule-based expert system to analyze and generate grammatically correct sentences.
C. A database system optimized for storing large volumes of textual data.
D. An Al model that specializes in processing, understanding, and generating human language.

Answer: D

NEW QUESTION # 36
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 provide isolation for datasets and Al artifacts.
C. They enhance pipeline execution speeds through workload distribution.
D. They enable simultaneous orchestration of Kubernetes clusters.

Answer: A,B

NEW QUESTION # 37
How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.

A. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
B. By implementing responsible Al use guidelines and strong product security standards.
C. By focusing on technological advancement only.
D. By relying on external vendors to manage security threats.

Answer: A,B

NEW QUESTION # 38
Which of the following is a principle of effective prompt engineering?

A. Write vague and open-ended instructions to encourage creativity.
B. Use precise language and providing detailed context in prompts.
C. Keep prompts as short as possible to avoid confusion.
D. Combine multiple complex tasks into a single prompt.

Answer: B

Explanation:
Effective prompt engineering is crucial for guiding AI models to produce accurate and relevant outputs.
1. Importance of Precision and Context:
* Clarity:Using precise language in prompts minimizes ambiguity, ensuring the AI model comprehends the exact requirements.
* Detailed Context:Providing comprehensive context helps the model understand the background and nuances of the task, leading to more accurate and tailored responses.
2. Best Practices in Prompt Engineering:
* Specificity:Clearly define the desired outcome, including any constraints or specific formats required.
* Instruction Inclusion:Incorporate explicit instructions within the prompt to guide the model's behavior effectively.
* Avoiding Ambiguity:Steer clear of vague or open-ended language that could lead to varied interpretations.
3. Benefits of Effective Prompt Engineering:
* Enhanced Output Quality:Well-crafted prompts lead to responses that closely align with user expectations.
* Efficiency:Reduces the need for iterative refinements, saving time and computational resources.

NEW QUESTION # 39
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

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

Answer: A,D

Explanation:
SAP AI Launchpad offers several benefits that enhance the development, deployment, and management of AI models within an organization.
1. Centralized AI Lifecycle Management for All AI Scenarios:
* Unified Platform:SAP AI Launchpad provides a centralized platform to manage the entire AI lifecycle, including model development, training, deployment, monitoring, and maintenance.
* Efficiency:This centralized approach streamlines workflows, reduces complexity, and ensures consistency across various AI projects and scenarios.

NEW QUESTION # 40
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Excellent C-AIG-2412 Exam Consultant, Ensure to pass the C-AIG-2412 Exam

SAP C-AIG-2412 Exam Syllabus Topics:

SAP Certified Associate - SAP Generative AI Developer passleader free questions & C-AIG-2412 valid practice dumps

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q35-Q40):

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