C_AIG_2412

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

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

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

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

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

How can Kubernetes infrastructure enhance the functionality of SAP AI Core? There are 3 correct answers to this question. By automatically developing Al models without human intervention. 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 Al 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 resource allocation costs during training. Analyze the model's performance metrics. Review the Kubernetes infrastructure scalability. Validate the accuracy of the model against business requirements.

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

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

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

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

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

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

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

Which of the following is unique about SAP's approach to Al?. SAP's deep integration of Al 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.

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

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

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

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

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

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

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

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

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

Why would a user include formatting instructions within a prompt?. 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. To redirect the output to another software program.

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.

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

Which of the following capabilities does the generative Al 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.

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 only supports traditional machine learning models. It provides instant access to a wide range of large language models (LLMs).

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

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

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

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

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 reducing overfitting through regularization techniques. By offering input-output pairs that exemplify the desired behavior.

What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question. To produce outputs based on software input. To follow a specific schema - human input, Al processing, and output for human consumption. To interpret human instructions and control software systems without necessarily producing output for human consumption. To interpret human instructions and control software systems always producing output for human consumption.

What are the benefits of SAP's generative Al 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. Accelerate Al development with flexible access to a broad range of models. Build custom Al solutions and extend SAP applications.

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

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

What is the purpose of splitting documents into smaller overlapping 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 representations. To reduce the storage space required for the vector database.

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

What is the primary function of the embedding model in a 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 for relevant passages.

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. It enables LLMs to learn new languages without additional training. It eliminates the need for fine-tuning LLMs for specific tasks. It reduces the computational resources required for language modeling.

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.

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. Prompt management. Administration. Prompt Editor.

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

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_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"]). 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.