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検証する-最新のC_AIG_2412日本語対策試験-試験の準備方法C_AIG_2412クラムメディア
SAP C_AIG_2412試験に準備するには、適当の練習は必要です。受験生としてのあなたはSAP C_AIG_2412試験に関する高い質量の資料を提供します。、PDF版、ソフト版、オンライン版三つの版から、あなたの愛用する版を選択します。弊社の高品質の試験問題集を通して、あなたにSAP C_AIG_2412試験似合格させ、あなたのIT技能と職業生涯を新たなレベルに押し進めるのは我々の使命です。
SAP C_AIG_2412 認定試験の出題範囲：
| トピック |
出題範囲 |
| トピック 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.
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| トピック 2 |
- 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.
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| トピック 3 |
- 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.
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| トピック 4 |
- 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.
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C_AIG_2412クラムメディア、C_AIG_2412学習体験談
今日、雇用市場での競争C_AIG_2412は過去のどの時代よりも激しくなっています。 CertShiken良い仕事を見つけたいなら、あなたは良い能力と熟練した主要な知識を所有していなければなりません。 そのため、最高の学習教材を提供するため、SAPのC_AIG_2412認定を取得する必要があります。 当社のSAP試験トレントは高品質で効率的であり、テストに合格するのに役立ちます。
SAP Certified Associate - SAP Generative AI Developer 認定 C_AIG_2412 試験問題 (Q50-Q55):
質問 # 50
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.
- A. Deployment templates for SAP AI Launchpad
- B. Pipeline containers to be used
- C. User scripts to manually execute pipeline steps
- D. Infrastructure resources such as CPUs or GPUs
正解：B、D
解説：
When training a machine learning model using SAP AI Core, defining an executable requires specifying certain key components to ensure the training process is efficient and effective.
1. Pipeline Containers to Be Used:
* Definition:Pipeline containers encapsulate the environments and dependencies necessary for each step of the machine learning workflow, including data preprocessing, model training, and evaluation.
* Specification in Executable:Within the executable, it's essential to define which pipeline containers will be utilized to ensure that each stage of the training process has the appropriate tools and libraries.
質問 # 51
What are some features of Joule?
Note: There are 3 correct answers to this question.
- A. Downloading and processing data.
- B. Streamlining tasks with an Al assistant that knows your unique role.
- C. Providing coding assistance and content generation.
- D. Maintaining data privacy while offering generative Al capabilities.
- E. Generating standalone applications.
正解：B、C、D
質問 # 52
How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question.
- A. By implementing responsible Al use guidelines and strong product security standards.
- B. By focusing on technological advancement only.
- C. By identifying human, technical, and exfiltration risks through an Al Security Taskforce.
- D. By relying on external vendors to manage security threats.
正解：A、C
質問 # 53
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?
- A. Create a basic prompt in SAP AI Launchpad
* Enhance the prompts
* Create a baseline evaluation method for the simple prompt
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk
- B. Create a basic prompt in SAP AI Launchpad
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts
* Evaluate various models for the problem using generative-ai-hub-sdk
- C. Create a basic prompt in SAP AI Launchpad
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts.
正解：A
質問 # 54
Which of the following statements accurately describe the RAG process?
Note: There are 2 correct answers to this question.
- A. The user's question is used to search a knowledge base or a set of documents.
- B. The embedding model stores the generated answers for future reference.
- C. The retrieved content is combined with the LLM's capabilities to generate a response.
- D. The LLM directly answers the user's question without accessing external information.
正解：A、C
質問 # 55
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