CAIG2412

What is the main purpose of the CoT and ToT techniques in relation to LLMs? Please choose the correct answer. To improve the depth and quality of LLM responses. To restrict LLMs from exploring multiple lines of reasoning. To decrease the models' understanding of conversation context. To limit the depth and quality of LLM responses.

Which solution support Data Transition during business transformation? Please choose the correct answer. SAP LeanIX. SAP Signavio, Tricentis, SAP Cloud ALM. Walkme and SAP EnableNow. SAP S/4HANA Migration Cockpit.

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

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

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

A healthcare company plans to use an LLM to create a chatbot for medical inquiries. The chatbot should generate responses based on users' queries and maintain a consistent tone across conversations. What steps should the company take to ensure effective implementation? There are 3 correct answers to this question. Fine-tune the LLM on a domain-specific dataset. Optimize the model for low-latency responses. Use reinforcement learning to ensure proper tone. Implement content filters to mitigate biased responses. Train the model from scratch using patient data.

A logistics company is deploying an AI-based predictive analytics model to optimize delivery routes. They are using SAP AI Core to manage model training and deployment. What steps should the company prioritize to ensure successful implementation? There are 3 correct answers to this question. Fine-tune the model using delivery route datasets. Monitor model performance using SAP Analytics Cloud. Deploy the model using a pre-trained SAP AI template. Configure Kubernetes for scalable workload management. Integrate SAP AI Core with SAP Transportation Management.

How can you leverage the power of GPUs for training a Machine Learning Model on SAP AI Core? Please choose the correct answer. Specify an NVIDIA GPU in your python code. GPUs are a scarce resource and may not be always available. Chose one of the resource plans that include GPU, for example, "train.l" in the training template. Kubernetes resources must be reserved via API.

Which feature of SAP Business AI enhances customer support? Please choose the correct answer. Sales performance prediction. Conversational AI chatbots. Real-time supply chain tracking. Process automation for invoices.

What advantage does generative AI hub provide over traditional AI infrastructures? There are 3 correct answers to this question. It saves your prompts or data automatically. 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.

Where can you find further information regarding specific use cases for Business AI? Please choose the correct answer. On the SAP Roadmap Viewer. On the SAP Help portal. On Interactive Value Journeys (IVjs). On Learning.SAP.com.

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

What are the challenges of implementing SAP Business AI? There are 2 correct answers to this question. Dependency on cloud infrastructure. Scalability for global operations. Limited AI model customization. Data integration complexity.

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

In which of the following contexts can generative AI revolutionize industries ? There are 2 correct answers to this question. Replacing human workers entirely in every sector. Offering valuable assistance for many tasks. Automating intricate processes. Solely operating based on structured schema interactions.

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

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

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

What is a key advantage of using orchestration services in generative AI hub? There are 2 correct answers to this question. Manual model tuning. Coordinating and managing deployment and integration of AI components. Automated accounting and payroll services. Streamlining and automating the end-to-end lifecycle of AI applications.

Which characteristics make LLMs suitable for generative tasks? There are 2 correct answers to this question. High adaptability to various language-related tasks. Ability to process large datasets during training. Capability to work with structured data formats only. Inability to retain prior context for future use.

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? Please choose the correct answer. Prompt management. Prompt Editor. Administration. Chat.

What are the primary benefits of using SAP AI Core? There are 2 correct answers to this question. Scalable AI model deployment. Real-time KPI monitoring for SAP Analytics Cloud. Automated ERP system configuration. Integration with popular machine learning frameworks.

What are the key requirement properties for SAP's AI in business? There are 3 correct answers to this question. Relevant. Responsible. Restrictive. Replicable. Reliable.

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

What does the few-shot prompting technique involve? Please choose the correct answer. Providing a single example to the model. Utilizing multiple examples to guide the model. Manual fine-tuning without context. Using a model without examples.

Which components are part of the transformer architecture used in LLMs? There are 2 correct answers to this question. Feedforward Neural Networks. Convolutional Filters. LSTM Cells. Self-Attention Layers.

What are the main limitations of LLMs? There are 2 correct answers to this question. Lack of ability to generate contextually relevant text. Dependency on large computational resources. Risk of generating biased or inappropriate content. Inability to process sequential data.

Which model is exemplified as the best proprietary OpenAI model during evaluation? Please choose the correct answer. spacy-lm. gpt-4o. SAP HANA SQL. meta--llama3-70b.

Which of the following are services offered by SAP’s AI Foundation? There are 3 correct answers to this question. Instant access to a broad range of large language models. Tooling for prompt engineering and experimentation. Simulated User Acceptance Testing and signoff. Pre-trained AI models for common tasks like Document Information Extraction.

What is the role of SAP AI Core’s pipeline integration? Please choose the correct answer. Managing SAP data governance rules. Integrating multiple steps in the machine learning lifecycle. Visualizing AI model performance metrics. Automating ERP configurations.

Which of the following allow SAP Business AI to distinguish between embedded AI and extensibility approaches within its solution portfolio? There are 3 correct answers to this question. By offering embedded AI credits in all solutions. By providing a clear legal framework. By offering all-in-one contracts. By collaborating with a wide ecosystem of partners.