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Free PDF Quiz 2025 Pass-Sure SAP C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer Free Updates

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q10-Q15):

NEW QUESTION # 10
What does SAP recommend you do before you start training a machine learning model in SAP AI Core? Note: There are 3 correct answers to this question.

A. Configure the model deployment in SAP Al Launchpad.
B. Perform manual data integration with SAP HANA.
C. Register the input dataset in SAP AI Core.
D. Configure the training pipeline using templates.
E. Define the required infrastructure resources for training.

Answer: C,D,E

NEW QUESTION # 11
Where can you configure language models in generative Al hub?

A. The Models tab in Prompt Editor
B. The Configuration tab within ML Operations in SAP AI Launchpad
C. The Orchestration tab in SAP AI Launchpad
D. The Configuration tab of the SAP BTP cockpit

Answer: B

Explanation:
In SAP's Generative AI Hub, configuring language models is a crucial step for integrating AI capabilities into applications.
1. Accessing the Configuration Interface:
* ML Operations Section:Within SAP AI Launchpad, navigate to theML Operationssection to manage machine learning models and operations.
* Configuration Tab:In theConfigurationtab, you can set up and manage various aspects of language models, including selecting model providers, specifying model versions, and configuring deployment settings.
2. Steps to Configure Language Models:
* Model Selection:Choose the desired language model from the available options, such as GPT-4 or other large language models (LLMs) provided through the Generative AI Hub.
* Parameter Configuration:Set parameters like model version, input constraints, and performance settings to tailor the model's behavior to your application's requirements.
* Deployment Setup:Configure deployment details to ensure the model is accessible andintegrated appropriately within your application's infrastructure.

NEW QUESTION # 12
Which of the following are grounding principles included in SAP's AI Ethics framework?
Note: There are 3 correct answers to this question.

A. Transparency and explainability
B. Human agency and oversight
C. Maximize business profits
D. Store all user data for legal proceedings
E. Avoid bias and discrimination

Answer: A,B,E

NEW QUESTION # 13
What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question.

A. To produce outputs based on software input.
B. To interpret human instructions and control software systems always producing output for human consumption.
C. To follow a specific schema - human input, Al processing, and output for human consumption.
D. To interpret human instructions and control software systems without necessarily producing output for human consumption.

Answer: B,D

Explanation:
* C. To interpret human instructions and control software systems without necessarily producing output for human consumption.This is a key area where generative AI is breaking new ground. Think of it as AI acting as a "middleman" between you and software. Here are some examples:
* Automating complex tasks:You could tell the AI to "optimize this database for performance" or
"find and fix security vulnerabilities in this code." The AI would then interact with the software systems to carry out these instructions, without needing to show you every step or result.
* Controlling robots or IoT devices:Imagine instructing an AI to "adjust the lighting in the meeting room" or "have the robot retrieve the package from the warehouse." The AI translates your instructions into actions for those systems.
* Managing cloud resources:AI could dynamically allocate cloud resources based on your needs, scaling them up or down without your direct intervention.
* D. To interpret human instructions and control software systems always producing output for human consumption.This is more in line with traditional chatbot interactions, but with a broader scope. It's about AI generating outputs that are directly useful or informative for humans. Examples include:
* Creating realistic images or videos:Based on your description, the AI could generate a photorealistic image of a new product design or a short video clip for a marketing campaign.
* Writing different kinds of creative text formats:AI can generate stories, poems,articles, summaries, and even code, all tailored to your specifications.
* Providing personalized recommendations:AI can analyze your preferences and provide recommendations for products, services, or information.
Why the other options are incorrect:
* A. To produce outputs based on software input.This is a general capability of AI, not something specific to generative AI or beyond chatbots. Many AI systems analyze software input (like sensor data or log files) to produce outputs.
* B. To follow a specific schema - human input, AI processing, and output for human consumption.
This describes the basic interaction pattern of many AI systems, including chatbots. It's not something that specifically differentiates generative AI or goes beyond typical chatbot applications.

NEW QUESTION # 14
Why is generative Al gaining significant attention and investment in the current business landscape?
Note: There are 2 correct answers to this question.

A. It lowers barriers to adoption.
B. It can run entire business operations without human intervention.
C. It can replicate complex technical skills without training or quality control.
D. It only requires natural language skills to use.

Answer: A,D

NEW QUESTION # 15
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