g-AI by kabs

Which of the following steps must be performed to deploy LLMs in the generative AI 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.

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

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

Which of the following are functionalities provided by generative-AI-hub-SDK? There are 2 correct answers to this ?. Interact with LLM. Create chat responses and embeddings. Configure SAP BTP credentials. Customeze SAP AI launchpad.

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

What are some benefits of the SAP API Launchpad? There are 2 correct answers to this ?. Centralized AI lifecycle management for all AI scenarios. Simplified model retraining and performance improvement. Intergraion with non-sap paltforms like Azure and AWS. Direct deployment of AI modeld to SAP HANA.

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

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

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

What can be done once the training of a machine learning model has been completed in SAP AI Core? There are 2 correct answers to this ?. The model can be deployed for inferencing. The model can be registered in the hyperscale abject store. The model accuracy can be optimized directly in SAP HANA. The model can be deployed in SAP HANA.

What are some components of the training pipeline in SAP AI Core? There are 2 correct answers to this ?. Input datasets stored in hyperscale object store. Executables that define the training process. Automated deployment to Kubernetes cluster. The SAP HANA databse for model storage.

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

Why would a user include formatting instructions within a prompt?. To ensure the models response follows a desired structure of style. To force the model to seperate relevant and irrelreven output. To increase the faithfulness of the output. To redirect the output to another software program.

What are some use cases for fine-tuning of a model? There are 2 correct answers to this ?. To customize outouts for specific types of inputs. 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.

What are more metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? There are 2 correct answers to this ?. Faithfulness. Relevance. speed. Carbon footprint.

Which statement best describes the Chani-Of-Thought (COT) prompting techniques?. Concatenating multiple related prompts to form a chain, guiding the model sequential reasoning steps. Connecting related concepts by having the LLM generate chains of ideas. Writing s series of conneced prompts creating a chin of related infromation. Linking multiple AI models in sequence, where each models input becomes the input for the next model in the chin.

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

What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative AI hub? There are 2 correct answers to this ?. 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 price models. Use priceing models that have rates irrespective of the useage patterns.

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

You want to assign urgency and sentiment categories to 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 AI hub. What is the main purpose of the following code in this context. Evaluate the performance of a language model using few-shot learning. Train a language model form scratch. Preprocess a dataset for machine learning. Generate random examples for lauguage model training.

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

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 AI that only foucuses on creating new content, including text, image, sound, and videos. A statistical method for data processing that does not involve any AI techniques. A technology that equips machines with human-like capabilities such as problem solving , visual.

What are some functionalities provided by SAP AI core? There are 3 correct answers to this ?. Integration of AI services with business applications using a standardized API. Continuous delivery and tenant isolation for stability. Orchestration of AI workflows such as model training and inference. Monitoring and retraining modle in SAP AI Core. Managegment of SAP S/4HANA cloud infrastrcuture.

Why is generative AI gaining significant attention and investment in current business land scape? There are 2 correct answers to this ?. It lowers barriers to adoption. It only requires natural language skills to use. It can run entire business operations without human intervention. It can replicate complex technical skills without traing or quality control.

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

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

What is the primary function of the embedding model in a RAG system?. To encode queries and documents into vector representative for comparison. To store vector representations of documents and search for relevent passages. To evaluate the faithfulness and relevence of generated answers. To generat responses baeds on the retrieved document and user queries.

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

Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP AI Core? There are 2 correct answers to this ?. Store the dataset in a hyper scale object store. Provide the storage secret to access the dataset. Store the data in the SAP HANA Vector Engine. Grant access right to the SAP BTP cockpit.

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

What defines SAP's approach to LLMs?. Ensuring ethical AI practices and seamless business integration. Prioritising the development of propretary LLMs with no integration to existing systems. Limiting LLM usage to non-business applictions only. Focusing solely on reducing the computational cost of training LLMs.

What are some characteristics of the SAP generative Al hub? There are 2 correct answers to this ?. It ensures relevant, reliable, and responsible business AI. It provides instant access to wide range of large language models (LLM). It operate independently of SAPspartners and ecosystem. It only supports traditional machine learning models.

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

Which neutral network architecture is primarily used by LLMS?. Transformer architecture with self-attention mechanisms. Recurrent neural network architecture. Convoluitional Neural Networks (CNNs). Sequential encoder-deroder architecture.

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

Which of the following are grounding principles included in SAP's AI Ethics framework? There are 3 correct answers to this ?. Transparency and explainability. Human agency and oversight. Avoid bias and discrimination. Maximize business profites. Store all user data for legal procededings.

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

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 Orchestraion tab in SAP AI Launchpad.

How does SAP ensure the enterprise-readiness of its AI solutions?. By implementing rigorous product standards for AI capabilities. By managing all AI lifecycles steps solely through open-source tools. By ensuring that AI models make bias-free decisions without human input. By using generic AI models without business context complying with AI ethics standards.

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

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

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

What are the applications of generative AI that go beyond traditional chatbot applications?. To intepret human instructions and control software systems without, necessarily producing output for human consumption. To produce output badesd on software input. To follow a specific schema - human input, AI processing, and output for human comsumption. To interprat humna instruction and control software systems always producing output for human comsumption.

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

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

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

How does SAP ensure the enterprise readiness of its AI solutions?. By implementing rigorous product standards for AI capabilities. By managing all AI lifecycle steps solely through open-source tools. By using generic AI models without business context complying with AI ethics standards. By ensuring that AI model makes bias-free decisions without human input.

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

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

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

You want to use the of the orchestration service through SAP's Al-hub-sdk. What does the following code do?. Define the LLM. Run the Orchestraion Request. Define the Tamplates and Default Input Value. Create the Orchestration.

Which of the following statement accurately describe the RAG process? There are 2 correct answers to this ?. The user question is used to search a knowledge base of a set of documents. The retrieved content is combined with LLM capabilities to generate a response. The embedding model stores the generated answers for future references. The LLM directly answers the users questyion without accessing external information.

You went to extract useful information from customer emails from 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 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 is the goal of prompt engineering?. To craft inputs that guide AI systems in generating desired outputs. To optimeze hardware performance for AI computations. To replace human decision-making with automated processes. To develop new neural network architectures for AI models.

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