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Die Schwierigkeiten können den Charakter eines Menschen testen. Eine schlechte Situation kann die Aufrichtigkeit eines Menschen zeigen. Wenn man einer schlechten Situation gegenüberstehen, können nur die mutigen es gant leichtnehmen. Sind Sie ein mutiger Mensch? Wenn Sie sich nicht so gut auf Ihre Prüfung vorbereiten, können Sie es noch leichtnehmen. Weil Sie die Fragenkataloge zur SAP C_AIG_2412 Prüfung von DeutschPrüfung haben. Und eine SAP C_AIG_2412 Prüfung wird Sie nicht niederschlagen.

SAP C_AIG_2412 Prüfungsplan:

Thema
Einzelheiten

Thema 1

SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.

Thema 2

SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.

Thema 3

SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

Thema 4

Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.

SAP Certified Associate - SAP Generative AI Developer C_AIG_2412 Prüfungsfragen mit Lösungen (Q61-Q66):

61. Frage
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"])

A. Evaluate the performance of a language model using few-shot learning
B. Train a language model from scratch
C. Preprocess a dataset for machine learning
D. Generate random examples for language model training

Antwort: A

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

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

Antwort: D

Begründung:
Leveraging different models from multiple providers through SAP's Generative AI Hub offers significant advantages:
1. Access to a Diverse Range of Large Language Models (LLMs):
* Integration with Multiple Providers:SAP's Generative AI Hub provides instant access to a broad spectrum of LLMs from various providers, such as GPT-4 by Azure OpenAI andopen-source models like Falcon-40b.
2. Enhancing Accuracy and Relevance:
* Model Selection Flexibility:By offering a variety of models, developers can select the most suitable one for their specific use cases, thereby enhancing the accuracy and relevance of AI applications that utilize SAP's data assets.
3. Seamless Orchestration and Integration:
* Orchestration Capabilities:The Generative AI Hub enables the orchestration of multiple models, allowing for seamless integration into SAP solutions like SAP S/4HANA and SAP SuccessFactors.

63. Frage
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

A. Integration with non-SAP platforms like Azure and AWS.
B. Centralized Al lifecycle management for all Al scenarios.
C. Simplified model retraining and performance improvement.
D. Direct deployment of Al models to SAP HANA.

Antwort: B,C

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

A. Intelligent business document processing
B. Al-powered forecasting and predictions
C. Face detection and face recognition
D. Automatic human emotion recognition
E. Personalized recommendations based on Al algorithms

Antwort: A,B,E

Begründung:
SAP Business AI offers a suite of capabilities designed to enhance various business processes through intelligent automation and data-driven insights.
1. Intelligent Business Document Processing:
* Document Information Extraction:SAP Business AI includes services that automate the extraction of relevant information from business documents, such as invoices and purchase orders. This automation reduces manual data entry, minimizes errors, and accelerates processing times.
2. AI-Powered Forecasting and Predictions:
* Predictive Analytics:SAP Business AI leverages machine learning models to analyze historical data and predict future trends. This capability assists businesses in demand forecasting, financial planning, and inventory management, enabling proactive decision-making.
3. Personalized Recommendations Based on AI Algorithms:
* Personalized Recommendation Services:By analyzing user behavior and preferences, SAP Business AI provides personalized product or service recommendations. This personalization enhances customer experience and can lead to increased sales and customer satisfaction.

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

A. To store embeddings of unstructured data for semantic data retrieval
B. To serve as an abstraction layer to access a range of foundation Al models
C. To manage the Al lifecycle efforts end-to-end
D. To provide ready-to-use Al services for document processing

Antwort: B

Begründung:
SAP's Generative AI Hub, a component of the SAP AI Foundation, provides a unified platform for accessing various foundation AI models.
1. Abstraction Layer Functionality:
* Unified Access:The Generative AI Hub acts as an abstraction layer, offering developers seamless access to a diverse range of large language models (LLMs) from multiple providers, such as GPT-4 by Azure OpenAI and open-source models like Falcon-40b.
* Simplified Integration:By providing a standardized interface, the hub simplifies the integration of these models into applications, reducing complexity and development time.
2. Supporting AI Development:
* Toolset Availability:The hub offers a comprehensive toolset for building custom AI solutions, including prompt engineering tools, SDKs, and fine-tuning services, facilitating efficient AI development.
* Model Orchestration:Developers can orchestrate multiple models, enabling the selection of the most suitable model for specific use cases, thereby enhancing the accuracy and relevance of AI applications.

66. Frage
......

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