Free SAP Certified Associate – SAP Generative AI Developer Exam C_AIG_2412 Exam Practice Test

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
• Configure SAP BTP credentials
• Customize SAP AI Launchpad
• Create chat responses and embeddings

Which of the following capabilities does the generative Al hub provide to developers? Note: Thereare 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

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 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"])

• 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 a Large Language Model (LLM)?

• A rule-based expert system to analyze and generate grammatically correct sentences.
• An Al model that specializes in processing, understanding, and generating human language.
• A database system optimized for storing large volumes of textual data.
• A gradient boosted decision tree algorithm for predicting text.

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

• Get more training data for new models
• Train new models using SAP and non-SAP data
• Enhance the accuracy and relevance of Al applications that use SAP's data assets
• Design new product interfaces for SAP applications

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 provide ready-to-use Al services for document processing
• To store embeddings of unstructured data for semantic data retrieval
• To manage the Al lifecycle efforts end-to-end

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.

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 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.

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
• Rule-based algorithms
• Robotic process automation
• Foundation models