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

How does SAP ensure the enterprise-readiness of its Al solutions?.

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 application. Proprietary LLMs exclusively. Tools for prompt engineering and experimentation. Integration of foundation models into applications.

Why is generative Al 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 lowers barriers to adoption.

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

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. Create chat responses and embeddings.

What is a significant risk associated with using LLMs?. Potential biases in generated content.

Where can you configure language models in generative Al hub?. The Configuration tab within ML Operations in SAP AI Launchpad.

What is one primary benefit of using LLMs in business applications?. They enhance automation and scalability of processes.

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

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

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.

Which of the following describes Large Language Models (LLMs)?. They utilize deep learning to process and generate human-like text. utilize.

What contract type does SAP offer for Al ecosystem partner solutions?. All-in-one contracts, with services that are contracted through SAP. SAP LLM.

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 SAP HANA Vector Engine. Provide the storage secret to access the dataset. Store the dataset in a hyperscaler object store. Grant access rights to the SAP BTP cockpit.

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

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

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

What does the Prompt Management feature of the SAP Al Iaunchpad allow users to do?. Access and manage saved prompts and their versions. Generative AO.

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

Which of the following are features of the SAP Al Foundation? Note: There are 2 correct answers to this question. Ready-to-use Al services. Al runtimes and lifecycle management. Ready runtimee. Joule online.

What is Machine Learning (ML)?. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data. A form of Al that only focuses on creating new content, including text, images, sound, and videos. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.

Which statement best describes the Chain-of-Thought (COT) prompting technique?. 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. 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 ideas.

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

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

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. Maintaining data privacy by using data masking techniques. Creating custom evaluators that meet specific business needs. Providing metrics to quantitatively assess response quality. Automating prompt testing across various scenarios. Supporting low code evaluations using graphical user interface.

Which of the following statements accurately describe the RAG process? Note: There are 2 correct answers to this question. The embedding models stores the generated answers for future reference. 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 LLM directly answers the user’s questions without accessing external information.

What is the primary function of the generative Al hub in SAP's Al Foundation?. To manage the Al lifecycle efforts end-to-end. Al hub in SAP's Al Foundation?.

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

What can be done once the training of a machine learning model has been completed in SAP Al Core? Note: There are 2 correct answers to this question. The model’s accuracy can be optimized directly in SAP HANA. The model can be registered in the hyperscaler object store. The model can be deployed for inferencing. The model can be deployed in SAP HANA.

You want to use the orchestration service through SAP's generative-Al-hub-sdk. What does the following code do? 1. from gen_ai_hub.orchestration.models.11m import LLM 2. 3. 4. 11m =LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature": 0.2}).

What are some advantages of using agents in training models? Note: There are 2 correct answers to this question. To improve the quality of results. To streamline LLM workflows. LLL. workflows.

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

What is a Large Language Model (LLM)?. An Al model that specializes in processing, understanding, and generating human language. AI model.

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

What defines SAP's approach to LLMs?. Ensuring ethical AI practices and seamless business integration. ensure LLM.

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

What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub? Note: There are 2 correct answers to this question. Adopt best practice pricing strategies, such as outcome-based pricing. Weigh the cost of using advanced models against the expected return on investment.

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

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

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

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

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

Which of the following are grounding principles included in SAP's Al Ethics framework? Note: There are 3 correct answers to this question. Human agency and oversight. Avoid bias and discrimination. Transparency and explainability.

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?. Administration. Prompt management. Chat. Prompt editor.

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 t import random random.seed(42) k = 3 examples random. sample (dev_set, k) example_template = """<example> {example_input} examples '\n---\n'.join([example_template.format(example_input=example ["message"], example_output=json.dumps (example[ f_test = partial (send_request, prompt=prompt_test, technique_examples examples, **option_lists) response = f_test(input=mail["message"]). Evaluate the performance of a language model using few-shot learning. Preprocess a dataset for machine learning. Train a language model from scratch. Generate random examples for language model training.

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

Which technique is used to supply domain-specific knowledge to an LLM?. Retrieval-Augmented Generation. Genius.

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. Resourcefulness. Honesty.

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. Provide libraries for no code development. Build custom Al solutions and extend SAP applications. Accelerate Al development with flexible access to a broad range of models.

What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question. To follow specific schema-human input, AI processing, and output of 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. To produce outputs based on software input.

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 ensures relevant, reliable, and responsible business Al. It provides instant access to a wide range of large language models (LLMSs). It only supports traditional machine learning models.

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. Foundation models.

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

What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?. To reduce storage space required for the vector database. 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.

Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide Al model responses?. Meta prompting. Meta genius.

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. Executables that define the training process. Automated deployment to Kubernetes clusters.

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.

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

What capabilities does the Exploration and Development feature of the generative Al hub provide? Note: There are 2 correct answers to this question. Automatic model selection. Prompt editor and management. Al playground and chat. Develop and debug ABAP Code.

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

What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?. Enhance the accuracy and relevance of Al applications that use SAP's data assets. accurate.

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

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

A financial services firm uses SAP Business AI to predict cash flow and optimize account reconciliation processes. Develop custom models for risk assessment. Automate reconciliation workflows. Use predictive analytics for cash flow projections. Integrate results with SAP Analytics Cloud. Deploy AI-based fraud detection models.

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

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

A financial institution is deploy in 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. Integrate the models with SAP Analytics Cloud for insights. Train the AI models on historical customer data. Use built-in bias detection tools for ethical compliance. Implement audit trails for all AI decisions. Automate the workflow approvals for generated summaries.

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

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. Assess the resources allocation cost during training. Validate the accuracy of the model against business requirements. Analyze the model's performance metrics. Review the Kubernetes infrastructure scalability.

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

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

How can Kubernetes infrastructure enhance the functionality of SAP AI Core? There are 3 correct answers to this question. By automatically developing AI models without human intervention. 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.

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