SAP C_AIG_2412 Exam Questions

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"])

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

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

Which of the following is a benefit of using Retrieval Augmented Generation?

What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.