우리PassTIP의 덤프는 여러분이SAP C-AIG-2412인증시험응시에 도움이 되시라고 제공되는 것입니다, 우라PassTIP에서 제공되는 학습가이드에는SAP C-AIG-2412인증시험관연 정보기술로 여러분이 이 분야의 지식 장악에 많은 도움이 될 것이며 또한 아주 정확한SAP C-AIG-2412시험문제와 답으로 여러분은 한번에 안전하게 시험을 패스하실 수 있습니다,SAP C-AIG-2412인증시험을 아주 높은 점수로 패스할 것을 보장해 드립니다,
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만약 아직도SAP C-AIG-2412시험패스를 위하여 고군분투하고 있다면 바로 우리 PassTIP를 선택함으로 여러분의 고민을 날려버릴 수 잇습니다, 우리 PassTIP에서는 최고의 최신의 덤프자료를 제공 합으로 여러분을 도와SAP C-AIG-2412인증자격증을 쉽게 취득할 수 있게 해드립니다. 만약SAP C-AIG-2412인증시험으로 한층 업그레이드된 자신을 만나고 싶다면 우리PassTIP선택을 후회하지 않을 것입니다, 우리PassTIP과의 만남으로 여러분은 한번에 아주 간편하게SAP C-AIG-2412시험을 패스하실 수 있으며,SAP C-AIG-2412자격증으로 완벽한 스펙을 쌓으실 수 있습니다,
질문 # 17
What must be defined in an executable to train a machine learning model using SAP AI Core? Note: There are 2 correct answers to this question.
정답：A,D
질문 # 18
What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question.
정답：A,B
질문 # 19
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?
정답：A
설명：
* Prompt managementis the section within SAP's generative AI hub (accessed via the SAP AI Launchpad) where you work with prompts, including:
* Creating and saving prompts:You can write and store your prompts for later use.
* Viewing prompt history:You can see a record of your past prompts and the AI's responses.
* Exporting prompts and responses:This is where you'd find the option to download your prompt and its corresponding response in JSON format.
Why the other options are incorrect:
* A. Chat:The chat interface is where you have interactive conversations with the generative AI. While you can see your conversation history there, you wouldn't typically find options to download it in JSON format.
* C. Administration:The administration section focuses on managing settings and configurations for the AI hub, not on individual prompts and responses.
* D. Prompt Editor:While a prompt editor might be used to create and refine prompts, it wouldn't necessarily be the place to manage or download them.
질문 # 20
Which of the following is unique about SAP's approach to Al?
정답：B
설명：
SAP distinguishes itself by deeply embedding Artificial Intelligence (AI) into its core business processes and analytics, enhancing efficiency and decision-making across various enterprise functions.
1. Integration of AI into Business Processes:
* SAP Business AI:SAP focuses on solving customers' business problems by integrating AI directly into business processes, rather than offering general-purpose AI platforms. This approach ensures that AI solutions are tailored to specific business needs, enhancing process efficiency and effectiveness.
* SAP S/4HANA Integration:By embedding AI into SAP S/4HANA, SAP enables real-time data analysis and process optimization. This integration allows for improved supply chain efficiency, enhanced financial decision-making, and personalized customer experiences.
2. AI-Driven Analytics:
* SAP Analytics Cloud:This solution combines AI with analytics and planning, unlocking the full potential of business data. It provides advanced analytics capabilities, enabling businesses to make informed decisions based on real-time insights.
* Predictive Analytics Library:SAP HANA includes a Predictive Analytics Library with native algorithms for statistical measures, clustering, classification, and time series analysis. This facilitates advanced data processing and predictive analytics within business applications.
3. AI in Enterprise Applications:
* SAP SuccessFactors:AI is integrated into SAP SuccessFactors to enhance human resources processes, such as talent acquisition and employee engagement, by providing data-driven insights and automating routine tasks.
* SAP AI Business Services:These services offer reusable AI capabilities that can be integrated across various business processes, automating tasks like document processing andenriching customer experiences.
질문 # 21
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
' --- '.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"])
정답：C
설명：
The provided code is designed to evaluate the performance of a language model in assigning urgency and sentiment categories to customer emails by utilizing few-shot learning within SAP's Generative AI Hub.
1. Few-Shot Learning in Prompt Engineering:
* Definition:Few-shot learning involves providing a language model with a limited number of examples to enable it to perform a specific task effectively. In this context, the model isgiven a few examples of categorized messages to learn how to assign urgency and sentiment to new, unseen emails.
2. Code Functionality:
* Prompt Template Creation:The prompt_test variable defines a template that instructs the model to extract and categorize messages, specifying the desired output format as a JSON string.
* Example Selection:The code randomly selects a subset of examples from a development set (dev_set) to include in the prompt, demonstrating the expected input-output pairs to the model.
* Model Interaction:The function f_test sends the constructed prompt, along with the input message, to the language model for processing.
* Response Handling:The model's response is expected to be a JSON string containing the assigned urgency, sentiment, and categories for the input message.
3. Purpose of the Code:
* Performance Evaluation:By using few-shot learning, the code evaluates how well the language model can generalize from the provided examples to accurately categorize new customer emails. This approach assesses the model's ability to understand and apply the categorization criteria based on minimal training data.
질문 # 22
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PassTIP에서는SAP 인증C-AIG-2412시험대비덤프를 발췌하여 제공해드립니다. SAP 인증C-AIG-2412시험대비덤프에는 시험문제의 모든 예상문제와 시험유형이 포함되어있어 시험준비자료로서 가장 좋은 선택입니다. PassTIP에서 제공해드리는 전면적인SAP 인증C-AIG-2412시험대비덤프로SAP 인증C-AIG-2412시험준비공부를 해보세요. 통과율이 100%입니다.
C-AIG-2412인증덤프데모문제: https://www.passtip.net/C-AIG-2412-pass-exam.html
