EMT Practice Test

1. Question Content...

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Question1: What is Machine Learning (ML)?

Question2: Which of the following are functionalities provided by the generative-Al-hub-SDK ?
Note: There are 2 correct answers to this question.

Question3: What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?

Question4: 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?

Question5: What is the primary function of the generative Al hub in SAP's Al Foundation?

Question6: Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question.

Question7: What contract type does SAP offer for Al ecosystem partner solutions?

Question8: What capabilities does the Exploration and Development feature of the generative Al hub provide?
Note: There are 2 correct answers to this question.

Question9: Which statement best describes the Chain-of-Thought (COT) prompting technique?

Question10: What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question.

Question11: Which of the following steps must be performed to deploy LLMs in the generative Al hub?

Question12: 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"])

Question13: Which of the following statements accurately describe the RAG process?
Note: There are 2 correct answers to this question.

Question14: Which technique is used to supply domain-specific knowledge to an LLM?

Question15: What are the benefits of SAP's generative Al hub?
Note: There are 2 correct answers to this question.

Question16: Which of the following executables in generative Al hub works with Anthropic models?

Question17: 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.

Question18: Which of the following are features of the SAP AI Foundation?
Note: There are 2 correct answers to this question.

Question19: Which of the following are grounding principles included in SAP's AI Ethics framework?
Note: There are 3 correct answers to this question.

Question20: What are the applications of generative Al that go beyond traditional chatbot applications?
Note: There are 2 correct answers to this question.

Question21: Why is generative Al gaining significant attention and investment in the current business landscape?
Note: There are 2 correct answers to this question.

Question22: What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?

Question23: Which of the following is unique about SAP's approach to Al?

Question24: Which neural network architecture is primarily used by LLMs?

Question25: Which of the following steps is NOT a requirement to use the Orchestration service?

Question26: What is the goal of prompt engineering?

Question27: What are some use cases for fine-tuning of a model?
Note: There are 2 correct answers to this question.