SAP Generative AI

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 AI? Note: There are 3 correct answers to this question. Intelligent business document processing. Face detection and face recognition. Automatic human emotion recognition. AI-powered forecasting and predictions. Personalized recommendations based on AI algortithms.

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

What advantage can you gain by leveraging different models from multiple providers through the SAP's generative AI hub?. 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.

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

Which of the following are the functionalities provided by the generative-AI-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 are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative AI hub?. Adopt best practice pricing strategies, such as outcome-based pricing. 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.

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

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

Which of the following steps is NOT a requirement to use the Orchestration service? Note: 1 answer only lol. Get an auth token for orchestration. Create an instance of an AI model. Create a deployment for orchestration. Modify the underlying AI models.

What are some examples of AI. Unlocking your cell phone using facial recognition. Receiving counted money at the cash terminal. Auto completion of sentences when writing an email. Getting printed ticket from ticket machine.

Having recapped AI, which of these statements apply?. Machine learning is a technology which encompasses AI, deep learning and generative AI. Deep Learning is a technology which encompasses AI, machine learning, and generative AI. AI is a technology which encompasses machine learning, deep learning and generative AI. Generative AI is a technology which encompasses AI, machine learning and deep learning.

Why is it critical to continuously learn and adapt in the field of AI?. AI is a hype topic everyone should know about. AI is already a major part in controlling every company. AI is one of the most transformative technologies of our times. AI is one of the most fast paced technology disruptions.

Which approaches in SAP BTP ensure that generative AI grounds and adapts to business context? Note: There are three correct answers. Prompt engineering tools and templates. Integration to ChatGPT. Vector engine in SAP HANA Cloud. Fine-tuned models on specific scenarios. Adaptive search engine in SAP S/4 HANA Cloud Public Edition.

Which of the following are key pillars of SAP's ethical AI framework announced in 2018?. Foreseebleness and Simplicity. Transparency and Explainability. Human Agency and Oversight. Robustness and Performance. Addressing Bias and Discrimination.

What are the key requirement properties for SAP's AI in business? Note: There are three correct answers. Relevant. Reliable. Replicable. Restrictive. Responsible.

Which of the folloing allow SAP Business AU to distinguish between embedded AI and extensibility approaches within its solution portfolio? Note: There are three correct answers. By providing a clear legal framework. By offering all-in-one contracts. By offering embedded AI credits in all solutions. By collaborating with a wide ecosystem of partners.

What is special about Joule?. Joule is faster than any alternative. Joule understands business. Joule has a larger foundation than competitors. Joule works deterministically.

Which of the following characteristics apply to Joule?. Joule only works with SAP data sources. Users interact with Joule in plain language. SAP Build Code is a Joule add-on for code generation. SAP Joule was first launched for SAP Ariba Concur.

How could you describe AI Foundation?. A development environment. An engine for coding modules. A collaboration platform. A one-stop-shop developers.

Which of the following are characteristics of a custom extension? Note: There are two correct answers. It offers the highest level of customization and flexibility but requires significant development resources and expertise. Users interact with an IA features within the familiar SAP environment providing a cohesive user experience. The AI features are an integral part of SAP Business application, enhancing its capabilities without requiring separate installations. Organizations create and implement AI models and applications from scratch, leveraging SAP development tools and frameworks.

Which of the following are services offered by SAP's AI Foundation? Note: There are three correct answers. Pre-trained AI models for common tasks like Document information Extraction. Instant access to broad range of large language models. Simulated User Acceptance Testing and signoff. Tooling for prompt engineering and experimentation.

Which of the following are the insights provided by the AI Foundation and the SAP ecosystem, including partnership and investment areas?. AI Foundation is one-stop-shop for developers to bootstrap their own Business AI solutions. SAP partners with leading general-purpose AI vendors and large language model providers. SAP offers the resell of customer application built in SAP AI Foundation solutions. SAP offers a range of options for embarking on their AI journey.

Where can you find further information regarding specific use cases for Business AI?. On Interactive Value Journeys (IVJs). On LearningSAPcom. On the SAP Help Portal. On the SAP Roadmap Viewer.

Where will the code for the ML pipelines be executed?. Cloud. AI Launchpad. Docker. Container.

What is the first thing you need to do to start working with SAP AI Core? Note: There are two correct answers. Create a docker image. Provisioning of an SAP AI Core instance SAP BTP. A subscription to SAP AI Launchpad. Download data from S3 and create a resource group.

What is the one primary benefit of using LLMs in business applications?. They eliminate all data privacy concerns in business operations. They replace the need for human decision-making entirely. They enhance automation and scalability of processes. They require no maintenance or updates once implemented.

What is a significant risk associated with using LLMs?. Inability to generate text in multiple languages. Potential biases in generated content. Unlimited processing power usage without cost control. Complete eliminations of human overnight in content creation.

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

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

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

What is a part of LLM context optimization?. 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.

Which neural network architecture is primarily used by LLMs?. 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?. 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 of the following must you do before connecting to dataset in order to train a machine learning model in SAP AI Core?. 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 are the application of generative AI that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question. To produce outputs based on the software input. 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. To interpret human instructions and control software systems producing output for human consumption.

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

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.

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 lowers barriers to adoption. It can replicate complex technical skills without training or quality control. It can run entire business operations without human intervention.

What are some use cases for fine-tuning of a model? Note: There are two 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.

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

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

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. Writing series of connected prompts creating a chain of related infromation. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps. Connecting related concepts by having LLM generate chains of ideas.

What are agents?. Software programs that can be used to interact with LLMs. Small units of code that perform specific tasks such as access to external data sources. Software programs that act like intermediaries between humans and LLMs.

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

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

Which of the following is a benefit of using Retrieval Augmented Generation? Note: There is only 1 answer lol. 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 language modeling.

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

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 benefits of using an SDK for evaluating prompts within the context of generative AI? Note: There are 3 correct answers. Maintainin data privacy by using data masking techniques. Creating custom evaluators that meet specific business needs. Automating prompt testing across various scenarios. Supporting low code evaluation using graphical user interface. Providing metrics to quantitatively assess response quality.

Which of the following steps must be performed to deploy LLMs in the generative AI hub?. 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 *Create a deployment *Configuring entitlements. Provision SAP AI *Core Create a configuration *Run the booster.

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

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

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

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

What is a Large Language Model (LLM)?. 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.

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 email data.

What is primary function embedding model in RAG system?. 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 relevant passages.

long code lol. Generate random examples for language model training. Evaluate the performance of a language model using few-shot learning. Train a language model from scratch. Preprocess a dataset for machine learning.

What is the goal of prompt engineering?. To replace human decision-making with automated processes. 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.

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

How can Joule improve workforce productivity?. 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.

What is the key advantage of using orchestration in generative AI hub?. Coordinating and managing deployment in integration AI Components. Automated accounting and payroll services. Streamlining and automating the end-to-end lifecycle of AI application. Manual model tuning.

What are the benefits of using LLMs in generative AI hub? Note: There are 3 correct answers. They can be used to enhance business user experience. They are appropriate for a wide range of industries. They can be accessed only through SDKs. They increase flexibility by handling multimodal inputs and outputs.

Which evaluation function aspect is NOT implemented in the provided solution?. RateLimitedIterator for controlling iterations. Evaluation function to validate JSON output. A final function to evaluate large datasets. Financial impact analysis.

Which key component is necessary for configuring models in the generative AI hub SDK?. Client ID. Authentication URL. AI Core Base URL. SAP ERP Instances.

What advantages does generative AI hub provide over traditional AI infrastructures? Note: There are 3 correct answers. It allows trusted LLM and foundation model access grounded on business and context data. It supports developing, deploying, and managing custom-built AI solutions. It provides access to multiple large language models. It saves your prompts or data automatically.

In which of the following context can generative AI revolutionize industries?. Replacing human workers entirely in every sector. Automating intricate processes. Solely operating based on structures schema interactions. Offering valuable assistance for many tasks.

Which of the following tools does SAP AI Foundation provide to developers?. Basic word processing applications. Tools to develop, deploy, and manage custom-built AI applications. Access to frontier AI models and generative AI foundation models. Financial auditing tools.

Which advantage provide open-weights LLMs? Note: There are three correct answers. They reduce costs. They come with community support. They can only be used by large enterprises. They prevent vendor lock-in.

Which of the following interfaces does generative AI hub in SAP AI Launchpad offer?. Chat. Document Editor. Prompt Editor. Prompt Management.

Which metric helps avoid false positives?. F1 Score. Precision. Recall. Classification Accuracy.

What is the impact of incremental updates to LLM training data?. Reduces the need for failover policies. Reduces the role of MLOps. Maintains performance as new data comes in. Increases the need for benchmarking.

What is not common capability explored at inference time?. Sentiment Analysis. Named entity recognition. Fine-tuning on domain-specific data. Language translation.

How does the SAP HANA Cloud vector enngine add more context to generative AI scenarios?. By processing and comparing vector data. By storing and analyzing vector embeddings. By integrating frameworks like LangChain. By providing a high-performance vector store.

What do functions do in the context of LLMs?. Translate user input into prompts for LLM. Provide access to external data sources. Improve the performance of LLM on specific use cases. Manage the interaction between user and LLM.

When is fine-tuning not ideal?. When introducing new knowledge to a model. When providing quick iterations on a new use case. When customizing outputs for specific types of inputs. When eliminating harmful content.

What is the primary goal of the Retrieval Augmented Generation (RAG) approach?. To reduce the size of large language models. To eliminate the need for any external knowledge base. To provide the model access to up-to-date, domain-specific information. To simplify the model's architecture.

What is the primary purpose of fine-tuning a Large Language Model (LLM)?. To introduce a new knowledge to the model. For quick iterations on a new case. To customize the model for specific tasks by continuing the training process on a new data set. To reduce the size of the model for easier deployment.

What is the SAP HANA Cloud vector engine designed to handle?. Structured data. Unstructured vector data. Text data. Image data.

What role do agents play in optimizing Large Language Model (LLM) performance?. They act as bridges between humans and LLMs, translating user input into prompts and interpreting outputs. They provide additional data sources and perform complex calculations. They are used to debug and inspect LLM output. They enhance the user experience by offering code completion.

How does the ToT technique differ from the CoT technique?. ToT is a linear, guiding the model through a single chain of reasoning steps to reach a conclusion. CoT involves presenting multiple related prompts in a linear chain. ToT allows the model to handle different strands of though simultaneously, similar to branches on a tree. CoT creates a branching structure for exploring different paths in a conversation.

Which of the following methods is often the go-to method when relevance and reliability are crucial, and there is adequate context available for your LLM use case?. RAG approach. Model fine-tuning. Few-shot examples. Adding a fact-checking step.

What is the main purpose of the CoT and ToT techniques in relation to LLMs?. To limit the depth and quality of LLM responses. To improve the depth and quality of LLM responses. To restrict LLMs from exploring multiple lines of seasoning. To decrease the model's understanding of conversation context.

What is the primary goal of prompt engineering when working with LLMs?. To reduce the computational cost of training LLMs. To guide the model towards generating the desired output. To increase the size of the training dataset. To simplify the model's architecture.

Which of the following is the first step in the optimization journey for improving LLM performance?. Adding few-shot examples. Model fine-tuning. Integrating more context from a live knowledge base. Prompt engineering and evaluation.

What is emphasized in the integration of frameworks, such as LangChain and LlamIndex, in LLM application development using SAP's methodical approach?. Technical feat. Strategic orchestration. User experienced. Data intelligence.

What is the main focus of the ideation phase in SAP's product development process?. Finalizing pricing model for new products. Assessing the feasibility, desirability, and viability of LLMs. Identifying potential use cases for LLMs within SAP's ecosystem. Gathering customer feedback on developed use cases.

Which data framework is designed for developing data-aware applications powered by LLMs?. LangChain. LlamaIndex. SAP BTP. GPT Index.

What is the key focus area in the Validation Phase for data engineers and software architects?. Pricing and commercialization. Commercial aspect of the product. Technical evaluation and architectural guidelines. Real-world usage data and customer feedback.

How can businesses directly benefit from using the LLMs in the SAP AI Core?. They can only use predesigned and pretrained AI models. They can receive tailored responses or forecasts. They do not need to integrate the models into their applications. They do not need to input their unique data into the AI model.

What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question. Integration of Al services with business ap plications using a standardized API. Orchestration of Al workflows such as model training and inference. Continuous delivery and tenant isolation for scalability.

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

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.

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

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

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 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. Define the required infrastructure resources for training. Configure the training pipeline using templates. Register the input dataset in SAP Al Core.

What is the goal of prompt engineering?. To craft inputs that guide Al systems in generating desired outputs. Bonus.

What are some features of Joule?. Providing coding assistance and content generation. Streamlining tasks with an Al assistant that knows your unique role. Maintaining data privacy while offering generative Al capabilities.

What is a part of LLM context optimization?. Providing the model with domain-specific knowledge needed to solve a problem. Bonus.

Which neural network architecture is primarily used by LLMs?. Transformer architecture with self-attention mechanisms. Bonus.

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. Transparency and explainability. Avoid bias and discrimination.

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. Bonus.

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. Bonus.

How can few-shot learning enhance LLM performance?. By offering input-output pairs that exemplify the desired behavior. Bonus.

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

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.

What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question. Accelerate Al development with flexible access to a broad range of models. Build custom Al solutions and extend SAP applications.

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 interpret human instructions and control software systems always producing output for human consumption.

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 (LLMSs).

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 access and utilize information beyond their initial training data. Bonus.

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. Bonus.

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. Bonus.

What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question. Executables that define the training process. Input datasets stored in a hyperscaler object store.

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 providing context-based role-specific task assistance. By maintaining strict adherence to data privacy regulations.

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. Al playground and chat.

What is the primary function of the embedding model in a RAG system?. To encode queries and documents into vector representations for comparison. Bonus.

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. Bonus.

Which of the following is unique about SAP's approach to Al?. SAP's deep integration of Al with business processes and analytics. Bonus.

Which of the following executables in generative Al hub works with Anthropic models?. AWS Bedrock. Bonus.

Which of the following steps must be performed to deploy LLMs in the generative Al hub?. Provision SAP Al Core. Check for foundation model scenario. Create a configuration. Create a deployment.

How does SAP ensure the enterprise-readiness of its Al solutions?. By implementing rigorous product standards for Al capabilities. Bonus.

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.

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 identifying human, technical, and exfiltration risks through an Al Security Taskforce. By implementing responsible Al use guidelines and strong product security standards.

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. Bonus.

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

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

How does the Al API support SAP Al 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.

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 provide isolation for datasets and Al artifacts. They ensure workload separation for different tenants or departments.

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. Bonus.

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

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

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. Provide the storage secret to access the dataset.

Match the components of a Retrieval Augmented Generation architecture to the diagram. Box → Models- Embedding Model and LLM. Box→ Applications- Backend and Frontend. Box→ Retrieval- Vector Database.

What are some benefits of the SAP Al Launchpad? Note: There are 2 correct answers to this question. Simplified model retraining and performance improvement. Centralized Al lifecycle management for all Al scenarios.

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. 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. Bonus.

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.

What is Machine Learning (ML)?. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data. Bonus.

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. Bonus.

Which of the following is a principle of effective prompt engineering?. Use precise language and providing detailed context in prompis. Bonus.

Which of the following steps is NOT a requirement to use the Orchestration service?. Modify the underlying Al models. Bonus.

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. Automating prompt testing across various scenarios. Providing metrics to quantitatively assess response quality. Creating custom evaluators that meet specific business needs.

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 retrieved content is combined with the LLM's capabilities to generate a response.

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

Why would a user include formatting instructions within a prompt?. To ensure the model's response follows a desired structure or style. Bonus.

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

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}). Define the LLM. Bonus.

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.