C_AIG_2412 Pre-Exam Practice Tests (Updated 62 Questions) [Q15-Q38]

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February 20, 2025

C_AIG_2412 Pre-Exam Practice Tests (Updated 62 Questions) [Q15-Q38]

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C_AIG_2412 Pre-Exam Practice Tests | (Updated 62 Questions)

Valid C_AIG_2412 Exam Q&A PDF – One Year Free Update

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 evaluated.

Q15. What are the applications of generative Al that go beyond traditional chatbot applications?
Note: There are 2 correct answers to this question.

To produce outputs based on software input.

To follow a specific schema – human input, Al processing, and output for human consumption.

To interpret human instructions and control software systems without necessarily producing output for human consumption.

To interpret human instructions and control software systems always producing output for human consumption.

Q16. What are some benefits of using an SDK for evaluating prompts within the context of generative Al?
Note: There are 3 correct answers to this question.

Maintaining data privacy by using data masking techniques

Creating custom evaluators that meet specific business needs

Automating prompt testing across various scenarios

Supporting low code evaluations using graphical user interface

Providing metrics to quantitatively assess response quality

Q17. Which of the following is unique about SAP’s approach to Al?

SAP’s deep integration of Al with business processes and analytics.

Offering Al capabilities in their future products as of 2025.

Utilizing Al mainly for marketing purposes.

Focusing Al solely on customer support services.

Q18. What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question.

Al playground and chat

Automatic model selection

Develop and debug ABAP code

Prompt editor and management

Q19. You want to use the orchestration service through SAP’s generative-Al-hub-sdk. What does the following code do?
from gen_ai_hub.orchestration.models.11m import LLM 11m =
LLM(name=”gpt-40″, version=”latest”, parameters={“max_tokens”: 256, “temperature”: 0.2})

Define the LLM

Run the Orchestration Request

Create the Orchestration Configuration

Define the Template and Default Input Values

Q20. How can few-shot learning enhance LLM performance?

By enhancing the model’s computational efficiency

By providing a large training set to improve generalization

By reducing overfitting through regularization techniques

By offering input-output pairs that exemplify the desired behavior

Q21. What are the benefits of SAP’s generative Al hub?
Note: There are 2 correct answers to this question.

Accelerate Al development with flexible access to a broad range of models

Provide libraries for no-code development

Build custom Al solutions and extend SAP applications

Send your data to various LLM providers for training feedback

Q22. What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

The model can be deployed in SAP HANA.

The model’s accuracy can be optimized directly in SAP HANA.

The model can be deployed for inferencing.

The model can be registered in the hyperscaler object store.

Q23. Which of the following steps must be performed to deploy LLMs in the generative Al hub?

Run the booster
* Create service keys
* Select the executable ID

Provision SAP AI Core
* Check for foundation model scenario
* Create a configuration
* Create a deployment

Check for foundation model scenario
* Create a deployment
* Configuring entitlements

Provision SAP AI
* Core Create a configuration
* Run the booster

Q24. Which of the following are grounding principles included in SAP’s AI Ethics framework?
Note: There are 3 correct answers to this question.

Transparency and explainability

Human agency and oversight

Avoid bias and discrimination

Maximize business profits

Store all user data for legal proceedings

Q25. What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?

To simplify the process of training the embedding model

To enable the matching of different relevant passages to user queries

To improve the efficiency of encoding queries into vector representations

To reduce the storage space required for the vector database

Q26. Which of the following executables in generative Al hub works with Anthropic models?

GCP Vertex Al

Azure OpenAl Service

SAP AI Core

AWS Bedrock

Q27. What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

The model can be deployed in SAP HAN

The model’s accuracy can be optimized directly in SAP HANA.

The model can be deployed for inferencing.

The model can be registered in the hyperscaler object store.

Q28. Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question.

Proprietary LLMs exclusively

Code generation to extend SAP BTP applications

Tools for prompt engineering and experimentation

Integration of foundation models into applications

Q29. What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question.

To produce outputs based on software input.

To follow a specific schema – human input, Al processing, and output for human consumption.

To interpret human instructions and control software systems without necessarily producing output for human consumption.

To interpret human instructions and control software systems always producing output for human consumption.

Q30. What are some features of Joule?
Note: There are 3 correct answers to this question.

Generating standalone applications.

Providing coding assistance and content generation.

Maintaining data privacy while offering generative Al capabilities.

Streamlining tasks with an Al assistant that knows your unique role.

Downloading and processing data.

Q31. What advantage can you gain by leveraging different models from multiple providers through the SAP’s generative Al hub?

Get more training data for new models

Train new models using SAP and non-SAP data

Enhance the accuracy and relevance of Al applications that use SAP’s data assets

Design new product interfaces for SAP applications

Q32. Which of the following steps must be performed to deploy LLMs in the generative Al hub?

Run the booster

Provision SAP AI Core

Check for foundation model scenario

Provision SAP AI

Q33. You want to download a json output for a prompt and the response.
Which of the following interfaces can you use in SAP’s generative Al hub in SAP AI Launchpad?

Chat

Prompt management

Administration

Prompt Editor

Q34. What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

Input datasets stored in a hyperscaler object store

Executables that define the training process

The SAP HANA database for model storage

Automated deployment to Kubernetes clusters

Q35. Why is generative Al gaining significant attention and investment in the current business landscape? Note: There are 2 correct answers to this question.

It lowers barriers to adoption.

It can replicate complex technical skills without training or quality control.

It can run entire business operations without human intervention.

It only requires natural language skills to use.

Q36. What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system?
Note: There are 2 correct answers to this question.

Carbon footprint

Faithfulness

Speed

Relevance

Q37. You want to extract useful information from customer emails to augment existing applications in your company.
How can you use generative-ai-hub-sdk in this context?

Generate a new SAP application based on the mail data.

Generate JSON strings based on extracted information.

Generate random email content and send them to customers.

Train custom models based on the mail data.

Q38. Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.

Ready-to-use Al services

Al runtimes and lifecycle management

Open source Al model repository

Joule integration in SAP SuccessFactors

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SAP Certified Associate – SAP Generative AI Developer Free Update Certification Sample Questions: https://www.test4engine.com/C_AIG_2412_exam-latest-braindumps.html