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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.

>> C-AIG-2412 Authentic Exam Questions <<

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q45-Q50):

NEW QUESTION # 45
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.

A. Avoid subscription-based pricing models
B. Adopt best practice pricing strategies, such as outcome-based pricing
C. Weigh the cost of using advanced models against the expected return on investment
D. Use pricing models that have fixed rates irrespective of the usage patterns

Answer: B,C

NEW QUESTION # 46
Which of the following is a principle of effective prompt engineering?

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

Answer: D

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 # 47
What are some components of the training pipeline in SAP AI Core?
Note: There are 2 correct answers to this question.

A. Input datasets stored in a hyperscaler object store
B. Automated deployment to Kubernetes clusters
C. Executables that define the training process
D. The SAP HANA database for model storage

Answer: A,C

NEW QUESTION # 48
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

A. Input datasets stored in a hyperscaler object store
B. Automated deployment to Kubernetes clusters
C. Executables that define the training process
D. The SAP HANA database for model storage

Answer: A,C

NEW QUESTION # 49
Match the components of a Retrieval Augmented Generation architecture to the diagram.

Answer:

Explanation:

Explanation:
A screenshot of a computer Description automatically generated

NEW QUESTION # 50
......

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