SAP C_AIG_2412 Practice MCQ

SAP C_AIG_2412 Practice MCQ

Question 1

Match the components of a Retrieval Augmented Generation architecture to the diagram. 

️

 (Refer to the attached image showing sections: Models, Applications, Retrieval, and components like Backend, Vector Database, Frontend, Embedding Model, and LLM.)

Note: Single correct answer

• (❌) Box → Models – Vector Database   Box → Applications – Backend and Frontend   Box → Retrieval – Embedding Model and LLM

• (❌) Box → Models – Embedding Model and LLM   Box → Applications – Vector Database   Box → Retrieval – Backend and Frontend

• (❌) Box → Models – Backend and Frontend   Box → Applications – Embedding Model and LLM   Box → Retrieval – Vector Database

• (✅) Box → Models – Embedding Model and LLM   Box → Applications – Backend and Frontend   Box → Retrieval – Vector Database

Question 2

Which of the following steps must be performed to deploy LLMs in the generative AI hub? Note: Single correct answer

• (❌)   1. Provision SAP AI   2. Create a configuration   3. Run the booster

• (❌)   1. Run the booster   2. Create service keys   3. Select the executable ID

• (✅)   1. Provision SAP AI Core   2. Check for foundation model scenario   3. Create a configuration   4. Create a deployment

• (❌)   1. Check for foundation model scenario   2. Create a deployment   3. Configuring entitlements

Question 3

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? Note: Single correct answer

• (❌) Generate random email content and send them to customers

• (✅) Generate JSON strings based on extracted information

• (❌) Generate a new SAP application based on the mail data

• (❌) Train custom models based on the mail data

Question 4

What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question

• [✅] Centralized AI lifecycle management for all AI scenarios

• [❌] Direct deployment of AI models to SAP HANA

• [❌] Integration with non-SAP platforms like Azure and AWS

• [✅] Simplified model retraining and performance improvement

Question 5

Why would a user include formatting instructions within a prompt? Note: Single correct answer

• (❌) To increase the faithfulness of the output

• (❌) To force the model to separate relevant and irrelevant output

• (❌) To redirect the output to another software program

• (✅) To ensure the model's response follows a desired structure or style

Question 6

Where can you configure language models in generative AI hub? Note: Single correct answer

• (❌) The Configuration tab of the SAP BTP cockpit

• (❌) The Orchestration tab in SAP AI Launchpad

• (✅) The Configuration tab within ML Operations in SAP AI Launchpad

• (❌) The Models tab in Prompt Editor

Question 7

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

• [✅] AI runtimes and lifecycle management

• [✅] Ready-to-use AI services

• [❌] Joule integration in SAP SuccessFactors

• [❌] Open source AI model repository

Question 8

How does SAP deal with vulnerability risks created by generative AI? Note: There are 2 correct answers to this question

• [✅] By implementing responsible AI use guidelines and strong product security standards

• [❌] By relying on external vendors to manage security threats

• [✅] By identifying human, technical, and exfiltration risks through an AI Security Taskforce

• [❌] By focusing on technological advancement only

Question 9

What contract type does SAP offer for AI ecosystem partner solutions? Note: Single correct answer

• (❌) Annual subscription-only contracts

• (❌) Pay-as-you-go for each partner service

• (✅) All-in-one contracts, with services that are contracted through SAP

• (❌) Bring Your Own License (BYOL) for embedded partner solution

Question 10

How does the AI API support SAP AI scenarios? Note: There are 2 correct answers to this question

• [✅] By integrating AI services into business applications

• [✅] By providing a unified framework for operating AI services

• [❌] By managing Kubernetes clusters automatically

• [❌] By integrating AI models into third-party platforms like AWS

Question 11

Which of the following steps is NOT a requirement to use the Orchestration service? Note: Single correct answer

• (❌) Create a deployment for orchestration

• (❌) Create an instance of an AI model

• (✅) Modify the underlying AI models

• (❌) Get an auth token for orchestration

Question 12

What is a significant risk associated with using LLMs? Note: Single correct answer

• (❌) Immediate accuracy without fine-tuning

• (❌) Lack of scalability in business applications

• (❌) Reduced computational requirements

• (✅) Potential biases in generated content

Question 13

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

• [✅] Creating custom evaluators that meet specific business needs

• [✅] Automating prompt testing across various scenarios

• [✅] Providing metrics to quantitatively assess response quality

• [❌] Supporting low code evaluations using graphical user interface

• [❌] Maintaining data privacy by using data masking techniques

Question 14

Which of the following statements accurately describe the RAG process? Note: There are 2 correct answers to this question

• [✅] The retrieved content is combined with the LLM's capabilities to generate a response

• [✅] The user's question is used to search a knowledge base or a set of documents

• [❌] The embedding model stores the generated answers for future reference

• [❌] The LLM directly answers the user's question without accessing external information

Question 15

You want to use the orchestration service through SAP's generative-ai-hub-sdk. What does the following code do?

Python

Note: Single correct answer

• (❌) Create the Orchestration Configuration

• (✅) Define the LLM

• (❌) Define the Template and Default Input Values

• (❌) Run the Orchestration Request

Question 16

What defines SAP's approach to LLMs? Note: Single correct answer

·         (❌) Using proprietary transformer-based models exclusively

·         (✅) Ensuring ethical AI practices and seamless business integration

·         (❌) Prioritizing only the performance of open-source models

·         (❌) Avoiding partnerships with external AI providers

Question 17

Which of the following is unique about SAP's approach to AI? Note: Single correct answer

·         (✅) SAP's deep integration of AI with business processes and analytics

·         (❌) Utilizing AI mainly for marketing purposes

·         (❌) Offering AI capabilities in their future products as of 2025

·         (❌) Focusing AI solely on customer support services

Question 18

What are the benefits of SAP's generative AI hub? Note: There are 2 correct answers to this question

·         [❌] Send your data to various LLM providers for training feedback

·         [✅] Build custom AI solutions and extend SAP applications

·         [❌] Provide libraries for no-code development

·         [✅] Accelerate AI development with flexible access to a broad range of models

Question 19

What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question

·         [✅] Ease of use

·         [❌] Significant hardware cost savings

·         [✅] Wide availability

·         [❌] Availability of skilled developers

Question 20

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

·         [❌] Downloading and processing data

·         [✅] Streamlining tasks with an AI assistant that knows your unique role

·         [❌] Generating standalone applications

·         [✅] Maintaining data privacy while offering generative AI capabilities

·         [✅] Providing coding assistance and content generation

Question 21

Which neural network architecture is primarily used by LLMs? Note: Single correct answer

·         (❌) Sequential encoder-decoder architecture

·         (❌) Recurrent neural network architecture

·         (❌) Convolutional Neural Networks (CNNs)

·         (✅) Transformer architecture with self-attention mechanisms

Question 22

What are some characteristics of the SAP generative AI hub? Note: There are 2 correct answers to this question

·         [✅] It provides instant access to a wide range of large language models (LLMs)

·         [❌] It operates independently of SAP's partners and ecosystem

·         [✅] It ensures relevant, reliable, and responsible business AI

·         [❌] It only supports traditional machine learning models

Question 23

What is a part of LLM context optimization? Note: Single correct answer

·         (❌) Enhancing the computational speed of the model

·         (❌) Adjusting the model's output format and style

·         (✅) Providing the model with domain-specific knowledge needed to solve a problem

·         (❌) Reducing the model's size to improve efficiency

Question 24

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

·         [❌] The SAP HANA database for model storage

·         [✅] Input datasets stored in a hyperscaler object store

·         [❌] Automated deployment to Kubernetes clusters

·         [✅] Executables that define the training process

Question 25

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

·         [✅] Weigh the cost of using advanced models against the expected return on investment

·         [❌] Avoid subscription-based pricing models

·         [❌] Use pricing models that have fixed rates irrespective of the usage patterns

·         [✅] Adopt best practice pricing strategies, such as outcome-based pricing

Question 26

Which technique is used to supply domain-specific knowledge to an LLM? Note: Single correct answer

·         (❌) Prompt template expansion

·         (❌) Fine-tuning the model on general data

·         (✅) Retrieval-Augmented Generation

·         (❌) Domain-adaptation training

Question 27

What are some functionalities provided by SAP AI Core? Note: There are 3 correct answers to this question

·         [✅] Integration of AI services with business applications using a standardized API

·         [✅] Monitoring and retraining models in SAP AI Core

·         [❌] Management of SAP S/4HANA cloud infrastructure

·         [✅] Orchestration of AI workflows such as model training and inference

·         [✅] Continuous delivery and tenant isolation for scalability

Question 28

What is the goal of prompt engineering? Note: Single correct answer

·         (✅) To craft inputs that guide AI systems in generating desired outputs

·         (❌) To optimize hardware performance for AI computations

·         (❌) To develop new neural network architectures for AI models

·         (❌) To replace human decision-making with automated processes

Question 29

What are some benefits of SAP Business AI? Note: There are 3 correct answers to this question

·         [✅] Intelligent business document processing

·         [❌] Automatic human emotion recognition

·         [✅] Personalized recommendations based on AI algorithms

·         [✅] AI-powered forecasting and predictions

·         [❌] Face detection and face recognition

Question 30

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

·         [✅] Define the required infrastructure resources for training

·         [✅] Register the input dataset in SAP AI Core

·         [❌] Perform manual data integration with SAP HANA

·         [✅] Configure the training pipeline using templates

·         [❌] Configure the model deployment in SAP AI Launchpad

Question 31

Which of the following is a principle of effective prompt engineering? Note: Single correct answer

·         (❌) Combine multiple complex tasks into a single prompt

·         (✅) Use precise language and providing detailed context in prompts

·         (❌) Write vague and open-ended instructions to encourage creativity

·         (❌) Keep prompts as short as possible to avoid confusion

Question 32

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

·         [✅] It only requires natural language skills to use

·         [❌] It can run entire business operations without human intervention

·         [✅] It lowers barriers to adoption

·         [❌] It can replicate complex technical skills without training or quality control

Question 33

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

·         [✅] Human agency and oversight

·         [❌] Maximize business profits

·         [❌] Store all user data for legal proceedings

·         [✅] Avoid bias and discrimination

·         [✅] Transparency and explainability

Question 34

What advantage can you gain by leveraging different models from multiple providers through the SAP's generative AI hub? Note: Single correct answer

·         (✅) Enhance the accuracy and relevance of AI applications that use SAP's data assets

·         (❌) Design new product interfaces for SAP application

·         (❌) Get more training data for new models

·         (❌) Train new models using SAP and non-SAP data

Question 35

Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide AI model responses? Note: Single correct answer

·         (❌) Chain-of-thought prompting

·         (❌) Few-shot prompting

·         (❌) One-shot prompting

·         (✅) Meta prompting

Question 36

What is a Large Language Model (LLM)? Note: Single correct answer

·         (❌) A rule-based expert system to analyze and generate grammatically correct sentences

·         (❌) A gradient boosted decision tree algorithm for predicting text

·         (✅) An AI model that specializes in processing, understanding, and generating human language

·         (❌) A database system optimized for storing large volumes of textual data

Question 37

Which of the following executables in generative AI hub works with Anthropic models? Note: Single correct answer

·         (❌) Azure OpenAI Service

·         (❌) GCP Vertex AI

·         (✅) AWS Bedrock

·         (❌) SAP AI Core

Question 38

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

·         [✅] To produce outputs based on software input

·         [✅] To interpret human instructions and control software systems always producing output for human consumption

·         [❌] To follow a specific schema - human input, AI processing, and output for human consumption

·         [❌] To interpret human instructions and control software systems without necessarily producing output for human consumption

Question 39

What is the purpose of splitting documents into smaller overlapping chunks in a RAG system? Note: Single correct answer

·         (✅) To enable the matching of different relevant passages to user queries

·         (❌) To reduce the storage space required for the vector database

·         (❌) To simplify the process of training the embedding model

·         (❌) To improve the efficiency of encoding queries into vector representations

Question 40

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

·         [✅] To introduce new knowledge to a model in a resource-efficient way

·         [✅] To customize outputs for specific types of inputs

·         [❌] To sanitize model outputs

·         [❌] To quickly create iterations on a new use case

Question 41

How can few-shot learning enhance LLM performance? Note: Single correct answer

·         (❌) By reducing overfitting through regularization techniques

·         (❌) By providing a large training set to improve generalization

·         (✅) By offering input-output pairs that exemplify the desired behavior

·         (❌) By enhancing the model's computational efficiency

Question 42

What is the primary function of the embedding model in a RAG system? Note: Single correct answer

·         (✅) To encode queries and documents into vector representations for comparison

·         (❌) To store vector representations of documents and search for relevant passages

·         (❌) To generate responses based on retrieved documents and user queries

·         (❌) To evaluate the faithfulness and relevance of generated answers

Question 43

How can Joule improve workforce productivity? Note: There are 2 correct answers to this question

·         [✅] By maintaining strict adherence to data privacy regulations

·         [✅] By providing context-based role-specific task assistance

·         [❌] By offering generic task recommendations unrelated to specific roles

·         [❌] By resolving hardware malfunctions

Question 44

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

·         [✅] Relevance

·         [✅] Faithfulness

·         [❌] Speed

·         [❌] Carbon footprint

Question 45

You want to assign urgency and sentiment categories to a large number of customer emails. You want to get a valid JSON string output for creating custom applications. You decide to develop a prompt for the same using generative AI hub. What is the main purpose of the following code in this context? Note: Single correct answer

·         (✅) Evaluate the performance of a language model using few-shot learning

·         (❌) Generate random examples for language model training

·         (❌) Preprocess a dataset for machine learning

·         (❌) Train a language model from scratch

Question 46

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

·         [✅] AI playground and chat

·         [✅] Prompt editor and management

·         [❌] Automatic model selection

·         [❌] Develop and debug ABAP code

Question 47

What are some examples of generative AI technologies? Note: There are 2 correct answers to this question

·         [✅] AI models that generate new content based on training data

·         [✅] Foundation models

·         [❌] Rule-based algorithms

·         [❌] Robotic process automation

Question 48

What defines SAP's approach to LLMs? Note: Single correct answer

·         (❌) Using proprietary transformer-based models exclusively

·         (✅) Ensuring ethical AI practices and seamless business integration

·         (❌) Prioritizing only the performance of open-source models

·         (❌) Avoiding partnerships with external AI providers

Question 49

Which of the following is unique about SAP's approach to AI? Note: Single correct answer

·         (✅) SAP's deep integration of AI with business processes and analytics

·         (❌) Utilizing AI mainly for marketing purposes

·         (❌) Offering AI capabilities in their future products as of 2025

·         (❌) Focusing AI solely on customer support services

Question 50

What are the benefits of SAP's generative AI hub? Note: There are 2 correct answers to this question

·         [✅] Build custom AI solutions and extend SAP applications

·         [✅] Accelerate AI development with flexible access to a broad range of models

·         [❌] Send your data to various LLM providers for training feedback

·         [❌] Provide libraries for no-code development

Question 51

What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question

·         [✅] Ease of use

·         [✅] Wide availability

·         [❌] Significant hardware cost savings

·         [❌] Availability of skilled developers

Question 52

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

·         [✅] Streamlining tasks with an AI assistant that knows your unique role

·         [✅] Maintaining data privacy while offering generative AI capabilities

·         [✅] Providing coding assistance and content generation

·         [❌] Downloading and processing data

·         [❌] Generating standalone applications

Question 53

Which neural network architecture is primarily used by LLMs? Note: Single correct answer

·         (❌) Sequential encoder-decoder architecture

·         (❌) Recurrent neural network architecture

·         (❌) Convolutional Neural Networks (CNNs)

·         (✅) Transformer architecture with self-attention mechanisms

Question 54

What are some characteristics of the SAP generative AI hub? Note: There are 2 correct answers to this question

·         [✅] It provides instant access to a wide range of large language models (LLMs)

·         [✅] It ensures relevant, reliable, and responsible business AI

·         [❌] It operates independently of SAP's partners and ecosystem

·         [❌] It only supports traditional machine learning models

Question 55

What is a part of LLM context optimization? Note: Single correct answer

·         (❌) Enhancing the computational speed of the model

·         (❌) Adjusting the model's output format and style

·         (✅) Providing the model with domain-specific knowledge needed to solve a problem

·         (❌) Reducing the model's size to improve efficiency

Question 56

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

Question 57

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

·         [✅] Weigh the cost of using advanced models against the expected return on investment

·         [✅] Adopt best practice pricing strategies, such as outcome-based pricing

·         [❌] Avoid subscription-based pricing models

·         [❌] Use pricing models that have fixed rates irrespective of the usage patterns

Question 58

Which technique is used to supply domain-specific knowledge to an LLM? Note: Single correct answer

·         (❌) Prompt template expansion

·         (❌) Fine-tuning the model on general data

·         (✅) Retrieval-Augmented Generation

·         (❌) Domain-adaptation training

Question 59

What are some functionalities provided by SAP AI Core? Note: There are 3 correct answers to this question

·         [✅] Integration of AI services with business applications using a standardized API

·         [✅] Orchestration of AI workflows such as model training and inference

·         [✅] Continuous delivery and tenant isolation for scalability

·         [❌] Monitoring and retraining models in SAP AI Core

·         [❌] Management of SAP S/4HANA cloud infrastructure

Question 60

What is the goal of prompt engineering? Note: Single correct answer

·         (✅) To craft inputs that guide AI systems in generating desired outputs

·         (❌) To optimize hardware performance for AI computations

·         (❌) To develop new neural network architectures for AI models

·         (❌) To replace human decision-making with automated processes

Question 61

What are some benefits of SAP Business AI? Note: There are 3 correct answers to this question

·         [✅] Intelligent business document processing

·         [✅] Personalized recommendations based on AI algorithms

·         [✅] AI-powered forecasting and predictions

·         [❌] Automatic human emotion recognition

·         [❌] Face detection and face recognition

Question 62

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

·         [✅] Define the required infrastructure resources for training

·         [✅] Register the input dataset in SAP AI Core

·         [✅] Configure the training pipeline using templates

·         [❌] Perform manual data integration with SAP HANA

·         [❌] Configure the model deployment in SAP AI Launchpad

Question 63

Which of the following is a benefit of using Retrieval Augmented Generation? Note: Single correct answer

·         (❌) It enables LLMs to learn new languages without additional training

·         (❌) It reduces the computational resources required for language modeling

·         (❌) It eliminates the need for fine-tuning LLMs for specific tasks

·         (✅) It allows LLMs to access and utilize information beyond their initial training data

Question 64

Which of the following interfaces can you use in SAP's generative AI hub in SAP AI Launchpad? Note: Single correct answer

·         (❌) Prompt Editor

·         (❌) Prompt management

·         (✅) Chat

·         (❌) Administration