2025 C_AIG_2412 NEW APP SIMULATIONS 100% PASS | HIGH-QUALITY VALID BRAINDUMPS C_AIG_2412 PDF: SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER

2025 C_AIG_2412 New APP Simulations 100% Pass | High-quality Valid Braindumps C_AIG_2412 Pdf: SAP Certified Associate - SAP Generative AI Developer

2025 C_AIG_2412 New APP Simulations 100% Pass | High-quality Valid Braindumps C_AIG_2412 Pdf: SAP Certified Associate - SAP Generative AI Developer

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q36-Q41):

NEW QUESTION # 36
What is one primary benefit of using LLMs in business applications?

  • A. They enhance automation and scalability of processes
  • B. They eliminate all data privacy concerns in business operations
  • C. They require no maintenance or updates once implemented
  • D. They replace the need for human decision-making entirely

Answer: A

Explanation:
The primary benefit of using LLMs in business applications is their ability to enhance automation and scalability, making processes more efficient and adaptable to large-scale needs. Option A is incorrect because LLMs augment, rather than fully replace, human decision-making-human oversight remains critical. Option B is false as LLMs do not inherently eliminate privacy concerns; data privacy must still be managed (e.g., through SAP's privacy-preserving techniques like differential privacy). Option C is inaccurate since LLMs require ongoing maintenance, updates, and monitoring to remain effective. Option D is correct because LLMs automate tasks like document processing, content generation, and customer interaction, while their scalability allows businesses to handle increasing data volumes and user demands efficiently, as seen in SAP's integration with tools like Joule and SAP Business AI.


NEW QUESTION # 37
What are some use cases for fine-tuning of a model?
Note: There are 2 correct answers to this question.

  • A. To quickly create iterations on a new use case
  • B. To customize outputs for specific types of inputs
  • C. To introduce new knowledge to a model in a resource-efficient way
  • D. To sanitize model outputs

Answer: B,C


NEW QUESTION # 38
Match the components of a Retrieval Augmented Generation architecture to the diagram.

Answer:

Explanation:


NEW QUESTION # 39
What is a significant risk associated with using LLMs?

  • A. Potential biases in generated content
  • B. Complete elimination of human oversight in content creation
  • C. Unlimited processing power usage without cost control
  • D. Inability to generate text in multiple languages

Answer: A

Explanation:
A significant risk of using LLMs is the potential for biases in generated content, stemming from biases present in their training data. Option A is incorrect because LLMs do not inherently eliminate human oversight; oversight is often maintained, especially in enterprise settings like SAP's. Option B is false as LLMs can generate text in multiple languages, as seen with models like GPT-4. Option D, while a concern in terms of resource management, is not the most significant risk compared to bias, and cost control can be implemented. Option C is correct because biased outputs can lead to unfair decisions or misinformation, a risk SAP mitigates through its AI Ethics framework, which includes principles like avoiding bias and discrimination, ensuring responsible AI deployment.


NEW QUESTION # 40
Which statement best describes the Chain-of-Thought (COT) prompting technique?

  • A. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
  • B. Connecting related concepts by having the LLM generate chains of ideas.
  • C. Writing a series of connected prompts creating a chain of related information.
  • D. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.

Answer: A


NEW QUESTION # 41
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