gen ai

How can Kubernetes infrastructure enhance the functionality of SAP AI Core? There are 3 correct answers to this question. By supporting autoscaling of containers based on demand. By ensuring high availability and fault tolerance for applications. By enabling the allocation of GPU resources for Al models. By eliminating the requirement for Docker containers. By automatically developing Al models without human intervention.

Which of the following can you do after training a machine learning model in SAP AI Core? There are 2 correct answers to this question. Review the Kubernetes infrastructure scalability. Analyze the model's performance metrics. Validate the accuracy of the model against business requirements. Assess the resource allocation costs during training.

What are agents? Please choose the correct answer. Physical devices that process natural language data for LLMs. Software programs that can be used to interact with LLMs. Software programs that act like intermediaries between humans and LLMS. Small units of code that perform specific tasks such as access to external data sources.

How does the Generative AI Hub enhance business workflows? There are 2 correct answers to this question. By generating predictive financial forecasts. By providing personalized customer interactions. By automating manual approval processes. By enhancing ERP workflow intelligence.

A financial services firm uses SAP Business AI to predict cash flow and optimize account reconciliation processes. What actions should the firm take to maximize SAP Business AI capabilities? There are 3 correct answers to this question. Develop custom models for risk assessment. Use predictive analytics for cash flow projections. Deploy AI-based fraud detection models. Automate reconciliation workflows. Integrate results with SAP Analytics Cloud.

What challenge is addressed by the Generative AI Hub's built-in bias detection tools? Please choose the correct answer. Managing ERP workflows. Identifying inaccuracies in financial reports. Ensuring ethical AI model outputs. Enhancing system uptime.

A financial institution is deploying the SAP Generative AI Hub to generate personalized customer summaries. They need to ensure ethical and accurate outputs. What actions should the institution prioritize? There are 3 correct answers to this question. Train the AI models on historical customer data. Integrate the model with SAP Analytics Cloud for insights. Use built-in bias detection tools for ethical compliance. Automate the workflow approvals for generated summaries. Implement audit trails for all AI decisions.

What is the term for an LLM's ability to continue generating text after receiving a partial input? Please choose the correct answer. Data Augmentation. Auto-completion. Zero-shot Learning. Text Extrapolation.

Which types of AI workloads can be managed using SAP AI Core? There are 2 correct answers to this question. SAP GUI automation scripts. Text-based generative AI model. Predictive analytics models. Image recognition workflows.

Which evaluation metric is commonly used to assess the performance of LLMs in text generation tasks? Please choose the correct answer. F1 Score. Recall. Cross-Entropy Loss. BLEU Score.

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

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

What is the purpose of splitting documents into smaller overlapping chunks in a RAG system? Please choose the correct answer. 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.

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

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

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

Which of the following statements accurately describe the RAG process? Note: There are 2 correct answers to this question. 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 retrieved content is combined with the LLM's capabilities to generate a response. The LLM directly answers the user's question without accessing external information.

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

What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question. Intelligent business document processing. Face detection and face recognition. Automatic human emotion recognition. Al-powered forecasting and predictions. Personalized recommendations based on Al algorithms.

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

How can Joule improve workforce productivity? Note: There are 2 correct answers to this question. By maintaining strict adherence to data privacy regulations. By resolving hardware malfunctions. By offering generic task recommendations unrelated to specific roles. By providing context-based role-specific task assistance.

Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP Al Core? Note: There are 2 correct answers to this question. Store the dataset in a hyperscaler object store. Grant access rights to the SAP BTP cockpit. Provide the storage secret to access the dataset. Store the dataset in the SAP HANA Vector Engine.

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.

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

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.

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

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

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

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

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

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.

Which of the following steps must be performed to deploy LLMs in the Generative AI Hub? Please choose the correct answer. Run the booster. Provision SAP AI Core. Create service keys. Select the executable ID.

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

What must be defined in an executable to train a machine learning model using SAP AI Core? Note: There are 2 correct answers to this question. Pipeline containers to be used. Infrastructure resources such as CPUs or GPUs. User scripts to manually execute pipeline steps. Deployment templates for SAP AI Launchpad.

What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question. Note: There are 3 correct answers to this question. Integration of Al services with business applications using a standardized API. Continuous delivery and tenant isolation for scalability. Orchestration of Al workflows such as model training and inference. Management of SAP S/4HANA cloud infrastructure. Monitoring and retraining models in SAP Al Core.

What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question. Direct deployment of Al models to SAP HANA. Integration with non-SAP platforms like Azure and AWS. Centralized Al lifecycle management for all Al scenarios. Simplified model retraining and performance improvement.

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.

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

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

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.

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

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

How does the AI API support SAP AI scenarios? Note: There are 2 correct answers to this question. By integrating Al services into business applications. By providing a unified framework for operating Al services. By integrating Al models into third-party platforms like AWS. By managing Kubernetes clusters automatically.

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.

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.

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.

How does SAP ensure the enterprise-readiness of its Al solutions? Please choose the correct answer. By implementing rigorous product standards for Al capabilities. By ensuring that Al models make bias-free decisions without human input. By using generic Al models without business context complying with Al ethics standards.

How can few-shot learning enhance LLM performance? Please choose the correct answer. 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.

Which neural network architecture is primarily used by LLMs? Please choose the correct answer. Transformer architecture with self-attention mechanisms. Recurrent neural network architecture. Convolutional Neural Networks (CNNs). Sequential encoder-decoder architecture.

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

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

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 Al hub. What is the main purpose of the following code in this context? prompt_test = """Your task is to extract and categorize messages. Here are some examples: {{?technique_examples}} Use the examples when extract and categorize the following message: {{?input}} Extract and return a json with the following keys and values: - "urgency" as one of {{?urgency}} - "sentiment" as one of {{?sentiment}} "categories" list of the best matching support category tags from: {{?categories}} Your complete message should be a valid json string that can be read directly and only contains the keys mentioned in it import random random.seed(42) k = 3 examples random. sample (dev_set, k) example_template = """ {example_input} examples '\n---\n'.join([example_template.format(example_input=example ["message"], example_output=json.dumps (example[ … (some code is missing) f_test = partial (send_request, prompt=prompt_test, technique_examples examples, **option_lists) response = f_test(input=mail["message"]) Please choose the correct answer. Evaluate the performance of a language model using few-shot learning. Generate random examples for language model training. Train a language model from scratch. Preprocess a dataset for machine learning.

Which of the following executables in generative Al hub works with Anthropic models? Please choose the correct answer. AWS Bedrock. SAP AI Core. GCP Vertex AI. Azure Open AI Service.

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

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

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? Please choose the correct answer. Prompt Editor. Administration. Prompt Management. Chat.

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? Please choose the correct answer. Generate JSON strings based on extracted information. Generate a new SAP application based on the mail data. Generate random email content and send them to customers. Train custom models based on the mail data.

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 cluster. Executables that define the training process.

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

Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question. Code generation to extend SAP BTP applications. Proprietary LLMs exclusively. Integration of foundation models into applications. Tools for prompt engineering and experimentation.

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

Which of the following steps must be performed to deploy LLMs in the generative Al hub? Please choose the correct answer. • 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.

What contract type does SAP offer for AI ecosystem partner solutions? Please choose the correct answer. All-in-one contracts, with services that contracted through SAP. Pay-as-you-go for each partner service. Annual subscription-only contracts. Bring Your Own License (BYOL) for embedded partner solutions.

What is Machine Learning (ML) ? Please choose the correct answer. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making. A form of AI that only focuses on creating new content, including text, images, sound and videos. 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.

Where can we access the foundation models in SAP AI Launchpad? ( or something similar ) Please choose the correct answer. Model Library. Orchestrator in SAP AI Launchpad. Configurator in BTP Environment. Configurator under the ML Operations tab in SAP AI Launchpad.

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

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