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

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 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. 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.

You want to use the orchestration service through SAP's generative-Al-hub-sdk.What does the following code do?from gen_ai_hub.orchestration.models.11m import LLM 11m =LLM (name="gpt-40", version="latest", parameters= {"max_tokens": 256, "temperature": 0.2}). Define the Template and Default Input Values. Create the Orchestration Configuration. Run the Orchestration Request. Define the LLM.

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. 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.

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. Store all user data for legal proceedings. Human agency and oversight. Maximize business profits. Avoid bias and discrimination.

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 relying on external vendors to manage security threats. By focusing on technological advancement only.

Which statement best describes the Chain-of-Thought (COT) prompting technique?. Writing a series of connected prompts creating a chain of related information. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain. 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. Youwant to get a valid json string output for creating custom applications. You decide to develop a prompt forthe 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 keysmentioned in timport random random.seed(42) k = 3examples 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"]). Preprocess a dataset for machine learning. Train a language model from scratch. Generate random examples for language model training. Evaluate the performance of a language model using few-shot learning.

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

You want to download a json output for a prompt and the response. Which of the following interfaces can you use in SAP's generative Al hub in SAP AI Launchpad?. Chat. Administration. Prompt Editor. Prompt management.

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

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. Automated deployment to Kubernetes clusters. Executables that define the training process. The SAP HANA database for model storage.

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

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

Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question. Joule integration in SAP SuccessFactors. Ready-to-use Al services. Al runtimes and lifecycle management. Open source Al model repository.

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

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

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. Deployment templates for SAP AI Launchpad. Pipeline containers to be used. User scripts to manually execute pipeline steps. Infrastructure resources such as CPUs or GPUs.

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

Which of the following steps must be performed to deploy LLMs in the generative Al hub?. Provision SAP AI Core: Check for foundation model scenario ; Create a configuration ; Create a deployment. Run the booster: Create service keys ; Select the executable ID. Check for foundation model scenario: Create a deployment ; Configuring entitlements. Provision SAP AI: Core Create a configuration ; Run the booster.

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 quickly create iterations on a new use case. To sanitize model outputs. To customize outputs for specific types of inputs.

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

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

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

What is the primary function of the embedding model in a RAG system?. To generate responses based on 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.

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.

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

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

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

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

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

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

Which of the following statements accurately describe the RAG process? Note: There are 2 correct answers to this question. 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 user's question is used to search a knowledge base or a set of documents. The LLM directly answers the user's question without accessing external information.

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

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. Accelerate Al development with flexible access to a broad range of models. Send your data to various LLM providers for training feedback. Build custom Al solutions and extend SAP applications.

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. Relevance. Faithfulness. Speed.

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

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

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

What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct 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 on software input. To follow a specific schema - human input, Al processing, and output for human consumption.

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 enable simultaneous orchestration of Kubernetes clusters. They enhance pipeline execution speeds through workload distribution. They provide isolation for datasets and Al artifacts.

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

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

What is Machine Learning (ML)?. 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. A statistical method for data processing that does not involve any Al techniques. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.

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

What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?. 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. To enable the matching of different relevant passages to user queries.

Why is generative Al gaining significant attention and investment in the current business landscape? Note: There are 2 correct answers to this question. It can run entire business operations without human intervention. It only requires natural language skills to use. It lowers barriers to adoption. It can replicate complex technical skills without training or quality control.

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

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

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

What are some features of Joule? Note: There are 3 correct answers to this question. Providing coding assistance and content generation. Streamlining tasks with an Al assistant that knows your unique role. Downloading and processing data. Maintaining data privacy while offering generative Al capabilities. Generating standalone applications.

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

Why would a user include formatting instructions within 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.

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

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

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 registered in the hyperscaler object store. The model can be deployed for inferencing.

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

16.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. Get more training data for new models. Train new models using SAP and non-SAP data. Design new product interfaces for SAP applications.

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. Centralized Al lifecycle management for all Al scenarios. Simplified model retraining and performance improvement. Integration with non-SAP platforms like Azure and AWS.