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QUESTION 22
Which technique is used to supply domain-specific knowledge to an LLM?

QUESTION 23
What is Machine Learning (ML)?

QUESTION 24
Which statement best describes the Chain-of-Thought (COT) prompting technique?

QUESTION 25
What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question.

QUESTION 26
How can Joule improve workforce productivity? Note: There are 2 correct answers to this question.

QUESTION 27
What are the benefits of SAP’s generative Al hub? Note: There are 2 correct answers to this question.

QUESTION 28
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.

QUESTION 29
You want to use the orchestration service through SAP’s generative-Al-hub-sdk.
What does the following code do?
from gen_ai_hub.orchestration.models.11m import LLM
11m =
LLM(name=”gpt-40″, version=”latest”, parameters={“max_tokens”: 256, “temperature”: 0.2})

QUESTION 30
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.

QUESTION 31
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.

QUESTION 32
Which of the following are features of the SAP AI Foundation?
Note: There are 2 correct answers to this question.

QUESTION 33
Why is generative Al gaining significant attention and investment in the current business landscape?
Note: There are 2 correct answers to this question.

QUESTION 34
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.

QUESTION 35
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”])

QUESTION 36
What are some components of the training pipeline in SAP AI Core?
Note: There are 2 correct answers to this question.

QUESTION 37
What are some use cases for fine-tuning of a model?
Note: There are 2 correct answers to this question.

QUESTION 38
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.

QUESTION 39
Why would a user include formatting instructions within a prompt?

QUESTION 40
What is the goal of prompt engineering?