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What does prompt management feature of the SAP AI launchpad allow users to do?. Create and edit prompts. Access and manage saved prompts and their versions. Provide personalized user interactions. Interact with models through conversational interface.

What is one primary benefit of using LLMs in business applications?. They require minimal computing power of training. They enhance automation and scalability of processes. They eliminate the need for data security measures. They are only applicable to customer support scenarios.

Which of the following steps is not a requirement to use orchestration service?. Get an auth token for orchestration. Create an instance of an AI model. Modify the AI underlying models. Create a deployment for orchestration.

Where can you configure language models in generative AI hub?. The models tab in Prompt Editor. The orchestration tab in SAP AI Launchpad. The configuration tab of the SAP BTP cockpit. The configuration tab within ML Operations in SAP AI Launchpad.

What is Machine Learning (ML)?. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision making. A subset of AI that focuses on enabling computer systems to learn and improve from experience or data. A statistical method for data processing that does not involve any AI techniques. A form of AI that only focuses on creating new content, including text, images, sound and videos.

What are some benefits of the SAP AI Launchpad? Note that there are two correct answers. Centralized AI lifecycle management for all AI scenarios. Integration with non-SAP platforms like Azure and AWS. Direct deployment of AI models to SAP HANA. Simplified model retaining and performance improvement.

Which of the following capabilities does generative AI hub provide to developers? note there are two correct answers to this question. Integration of foundation models into application. Tools for prompt engineering and experimentation. Proprietary LLMs exclusively. Code generation to extend SAP BTP applications.

What can be done once the training of a machine learning model has been completed in SAP AI Core? There are two correct answers. The model can be deployed in SAP HANA. The model can be registered in the hyperscaler object store. The model's accuracy can be optimized directly in SAP HANA. The model can be deployed for inferencing.

Which of the following statement accurately describe RAG process? Note that there are two correct answers. The embedding model stores the generated answers for future reference. The LLM directly answers the user's question without accessing external information. The user's question is used to search a knowledge base or set of documents. The retrieved content is combined with the LLMs capabilities to generate a response.

What contract type does SAP offer for AI ecosystem partner solutions?. Pass-as-you-go for each partner service. Bring your own license (BYOL) for embedded partner solution. All-in-one contracts, with services that are contracted through SAP. Annual subscriptions-only contract.

You want to extract useful information from customer email to augment application in your company. How can you use generative-AI-hub-SDK in this context?. 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.

Which of the following you must do before connecting to a data set in order to train a machine learning model in SAP AI core? There are two correct answers to this question. Store the dataset in a hyperscaler object store. Grant access rights to SAP BTP cockpit. Store dataset in the SAP HANA vector Engine. Provide the storage secret to access the dataset.

Which of the following is a principle of the effective prompt engineering?. Write vague and open-ended instructions to encourage creativity. Keep prompts as short as possible to avoid confusion. Use precise language and providing detailed context in prompis. Combine multiple complex tasks into a single prompt.

Which statement best describes the Chain-of-Thought (COT) prompting technique?. Linking multiple AI models in sequence, where each model's output becomes the input for the next model in the chain. Connecting related concepts by having the LLM generate chains of idea. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps. Writing a series of connected prompts creating a chain of related information.

What is the significant risk associated with using LLMs?. Immediate accuracy without fine-tuning. Lack of scalability in business applications. Reduced computational requirement. Potential biases in general and content.

What must be defined in an executable to train a machine learning model using SAP AI Core? Note there are two correct answers to these questions. Deployment templates for SAP AI Lauchpad. Pipeline containers to be used. User scripts to manually execute pipeline steps. Infrastructure resources such as CPUs and GPUs.

What are some benefits of using an SDK for evaluating prompts within the context of generative AI? Note that there are three correct answers to this question. Your selection is correct. Automating prompt testing across various scenarios. Creating customer evaluators that meet specific business needs. Maintaining data privacy by using data masking techniques. Supporting low code evaluations using graphical user interface. Providing metrics to quantitatively assess response quality.

Which of the following are features of the SAP AI Foundation? Note: There are two correct answers to this questions. Ready-to-use AI services. Open source AI model repository. AI runtimes and lifecycle management. Joule integration in SAP SuccessFactors.

Which of the following sequence of steps does SAP recommend you use to solve business problem using generative AI hub?. Create basic prompt in SAP AI Launchpad. Scale the solution using generative-ai-hub-sdk. Create a baseline evaluation method for the simple prompt. Enhance the prompts. Evaluate various models for the problem using generative-ai-hub-sdk.

How does SAP ensure the enterprise-readiness of its AI solutions?. By using generic AI models without business context complying with AI ethic standard. By implementing rigorous product standards for AI capabilities. By ensuring that AI models make bias-free decisions without input.

What is the primary function of the generative AI hub in SAP's AI Foundation?. To store embeddings of unstructured data for semantic data retrieval. To serve as an abstraction layer to access a range of foundation AI models. To manage the AI lifecycle efforts end-to-end. To provide ready-to-use AI services for document processing.

Match the components of a Retrieval Augmented Generation architecture to the diagram. A. Box - models - embedding Model and LLM Box - Applications - Backend and Frontend Box - Retrieval - Vector Database.

How do resource groups in SAP AI Core improve the management of machine learning workloads? Note that there are 2 correct answers to this question. They enable simultaneous orchestration of Kubernetes clusters. They provide isolation of datasets and AI artifacts. They ensure workload separation for different tenants or departments. They enhance pipeline execution speeds through workload distribution.

Why is generative AI gaining significant attention and investment in the current business landscape? There are two correct answers to this question. It lowers barriers to adoption. It can run entire business operations without human intervention. It can replicate complex technical skills without training or quality control. It only requires natural language skills to use.

Which of the following steps must be performed to deploy LLMs in the generative AI hub?. Provision SAP AI core. Check the foundation models scenario. Create configuration. Create deployment.

How does the AI API support SAP AI scenarios? Note that there are two correct answers to this question. By integrating AI models into third-party platforms like AWS. By integrating AI services into business applications. By managing Kubernetes clusters automatically. By providing a unified framework for operating AI services.

You want orchestration service through SAP's generative-AI-hub-sdk. What does the following code do?. Run the orchestration request. Define the template and default input values. Define the LLM. Create the orchestration configuration.

Which of the following are functionalities provided by the generative-AI-hub-SDK? Note that there are 2 correct answers to this question. Create chat responses and embeddings. Configure SPA BTP credentials. Interact with LLMs. Customize SAP AI Launchpad.

Which of the following describes Large Language Models (LLMs)?. They rely on predefined scripts for decision making. They are rule-based systems designed for specific tasks. They cannot process large datasets efficiently. They utilize deep learning to process and generate human-like text.

How does SAP deal with vulnerability risks created by generative AI? Note that there are 2 correct answers in this question. Bu focusing on technological advancement only. By identifying human, technical, and exfiltration risks through an AI Security Tskforce. By relying on external vendors to manage security threats. By implementing responsible AI use guidelines and strong product security standards.

Why would a user include formatting instructions with a prompt?. To redirect the output to another software program. To force the model to separate relevant and irrelevant output. To ensure the model's response follows a desired structure or style. To increase the faithfulness of the output.

What are some advantages of using agents in training models? Note that there are 2 correct answers to this question. To streamline LLM workflows. To improve the quality of results. To guarantee accurate decision making in complex scenarios. To eliminate the need for human oversight.

What does the Prompt Management feature of the SAP AI launchpad allow users to do?. Create and edit prompts. Access and manage saved prompts and their versions. Provide personalized user interactions. Interact with models through a conversational interface.

What is one primary benefit of using LLMs in business applications?. They require minimal computing power for training. They enhance automation and scalability of processes. They eliminate the need for data security measures. They are only applicable for customer support scenarios.

Which of the following steps is NOT a requirement to use the Orchestration service?. Get an auth token for orchestration. Create an instance of an AI model. Modify the underlying AI models. Create a deployment for orchestration.

What is Large Language Model (LLM)?. A gradient boosted decision tree algorithm for predicting text. A database system optimized for storing large volumes of textual data. A rule-based expert system to analyze and generate grammatically correct sentences. An AI model that specializes in processing, understanding, and generating human language.

What are the benefits of SAP's generative AI hub? Note that there are 2 questions to this question. Build custom AI solutions and extend SAP applications. Accelerate AI development with flexible access to a broad range models. Send your data to various LLM providers for training feedback. Provide libraries for no-code development.

Which of the following executables in generative AI hub works with Anthropic models?. GCP Vertex AI. SAP AI Core. AWS Bedrock. Azure OpenAI Service.

What are some characteristics of the SAP generative AI hub? Note that there are 2 correct answers to this question. It only supports traditional machine learning models. It only operates independently of SAP's partners and ecosystem. It provides instant access to a wide range of large language models (LLMSs). It ensures relevant, reliable, and responsible business AI.

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 AI hub in SAP AI Launchpad?. Chat. Prompt management. Administration. Prompt Editor.

What are some functionalities provided by SAP AI Core? Note that there are 3 correct answers to this question. Orchestration of AI workflows such as model training and interface. Continuous delivery and tenant isolation for scalability. Management of SAP S/4 HANA cloud infrstructure. Monitoring and retaining models in SAP AI Core. Integration of AI services with business application using a standardized API.

What is part of LLM context optimization?. Enhancing the computational speed of the model. Reducing the model's size to improve efficiency. Providing the model with domain-specific knowledge needed to solve problem. Adjusting the model's output format and style.

What are some benefits of SAP Business AI? Note there are 3 correct answers to this question. face detection and face recognition. Intelligent business document processing. AI powered forecasting and predictions. Personalized recommendations based in AI algorithms. Automatic human emotion recognition.

What defines SAP's approach to LLMs?. Ensuring ethical AI practices and seamless business integration. Avoiding partnerships with external AI providers. Prioritizing only the performance of open-source models. Using proprietary transformer-based models exclusiveley.

What capabilities does the Exploration and Development feature of the generative AI hub provide? Note that there are only2 correct answers to the question. Prompt editor and management. Automatic model selection. Develop and debug ABAP code. AI playground and chat.

Which of the following is a benefit of using Retrieval Augmented Generation?. It reduces the computational resources required for language modeling. It allows LLMs to access and utilize information beyond their initial training data. It eliminates the need for fine-tuning LLMs for specific tasks. It enables LLMs to learn new languages without additional training.

What is the primary function of the embedding model in a RAG system?. To generate responses based in retrieved documents and user queries. To store vector representations of documents and search for relevant passages. To encode queries and documents into vector representations for comparison. To evaluate the faithfulness and relevance of generated answers.

What are some examples of generative AI technologies? Note that there are 2 correct answers to this question. Robotic process automation. Foundation models. AI models that generate new content based on training data. Rule-based algorithms.

What are the applications of generative AI that go beyond traditional chatbot applications? Note that there are 2 answers to this question. 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. To produce outputs based in software input. To follow a specific schema - human input, AI processing and output for human consumption.

What are some features of Joule? Note that 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. Downloading and processing data. Generating standards applications. Providing coding assistance and content generation.

Which neural network architecture is primarily used by LLMs?. Sequential encoder-decoder architecture. Recurrent neural network architecture. Transformer architecture with self-attention mechanisms. Convolutional Neural Network (CNNs).

What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative AI hub? There are 2 correct answers to this question. Avoid subscription-based pricing models. Adopt best practices pricing strategies such as outcome-based pricing. Weigh the cost of using advanced models against the expected return on investment. Use pricing models that have fixed rates irrespective of the usage patterns.

What are some use cases for fine- tuning of a model? Note there are 2 correct answers to this question. To sanitize model outputs. To customize outputs for specific types of inputs. To quickly create iterations on a new use case. To introduce new knowledge to a model in a resource-efficient way.

How can a few-shot learning enhance LLM performance?. By providing a large training set to improve generalization. By reducing overlifting through regularization techniques. By offering input-output pairs that exemplify the desired behavior. By enhancing the model's computational efficiency.

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?. Few-shot prompting. Meta prompting. One-shot prompting. Chain-of-thought prompting.

What is the goal of prompt engineering?. To craft inputs that guide AI system in generating desired outputs. To replace human decision-making with automated processes. To develop new neural network architectures for AI models. To optimize hardware performance for AI computations.

What are some components of the training pipeline in SAP AI Core? Note that there are 2 correct answers to this question. Input datasets stored in a hyperscaler object store. Executables that define the training process. Automated deployment to Kubernetes clusters. The SAP HAN database for model storage.

How can joule improve workforce productivity? Note that there are2 correct answers to this question. By offering generic task recommendation unrelated to specific roles. By providing context-based role specific task assistance. By maintaining context-based role specific task assistance. By maintaining strict adherence to data privacy regulations. By resolving hardware malfunctions.

You want to assign urgency and sentiment categories to a large number of customers emails. you want to get a valid json string output for creating custom applications. you decide to develop a prompt for the same generative AI hub. What is the main purpose of the following code in this context?. Evaluate the performance of a language model using few-shot learning. Train a language model from scratch. Preprocess a dataset for machine learning. Generate random examples for language model training.

What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?. To enable the matching of different relevant passages to user queries. To improve the efficiency of encoding queries into vector reprentations. To reduce the storage space required for the vector database. To simplify the process of training the embedding model.

What does SAP recommend you do before you start training a machine learning model in SAP AI Core? There are 3 correct answers to this question. Perform manual data integration with SAP HANA. Configure the model deployment in SAP AI Launchpad. Configure the training pipeline using templates. Register the input dataset in SAP AI Core. Define the required infrastructure resources for training.

Which technique is used to supply domain-specific knowledge to an LLM?. Prompt template expansion. Retrieval-Augmented Generation. Domain-adaptation training. Fine-tuning the model on general data.

What are some drivers for the rapid adoption of generative AI? Note that there are 2 correct answers to this question. Significant hardware cost savings. Ease of use. Wider availability. Availability of skilled developers.

What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note that there are 2 answers to this question. Cardon footprint. Relevance. Speed. Faithfulness.

What advantage can you gain by leveraging different models from multiple providers through the SAP's generative AI hub?. Train new modes using SAP and non-SAP data. Enhance the accuracy and relevance of AI applications that use data assets. Design new product interfaces for SAP application. Get more training data for new models.

Which of the following are grounding principles included in SAP's AI Ethics framework? Note that there are 3 correct answers to this question. Store all user for legal proceedings. Transparency and explainability. Human agency and oversight. Maximize business profits. Avoid bias and discrimination.

Which of the following is unique about SAP's approach to AI?. Utilizing AI mainly for marketing pruposes. Focusing AI solely on customers support services. Offering AI capabilities in their future products as of 2025. SAP's deep integration of AI with business processes and analytics.