100% PASS-RATE TEST C_AIG_2412 QUESTIONS & LEADING OFFER IN QUALIFICATION EXAMS & FANTASTIC C_AIG_2412: SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER

100% Pass-Rate Test C_AIG_2412 Questions & Leading Offer in Qualification Exams & Fantastic C_AIG_2412: SAP Certified Associate - SAP Generative AI Developer

100% Pass-Rate Test C_AIG_2412 Questions & Leading Offer in Qualification Exams & Fantastic C_AIG_2412: SAP Certified Associate - SAP Generative AI Developer

Blog Article

Tags: Test C_AIG_2412 Questions, Exam C_AIG_2412 Question, C_AIG_2412 Reliable Test Cost, C_AIG_2412 Latest Examprep, Valid Braindumps C_AIG_2412 Questions

It takes a lot of effort and hard work to get the results. The first step is to download real SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) Exam Questions of PDFBraindumps. These SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) exam questions are available in PDF, desktop practice test software, and web-based practice exam. If you are already an employee or busy in your routine, you can prepare C_AIG_2412 Exam quickly with PDFBraindumps pdf questions. C_AIG_2412 pdf exam questions help applicants study for the SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) exam at any time from any location. With the pdf questions, it will be easy for you to complete the SAP Certified Associate - SAP Generative AI Developer (C_AIG_2412) exam preparation in a short time.

SAP C_AIG_2412 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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.
Topic 3
  • 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.
Topic 4
  • 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.

>> Test C_AIG_2412 Questions <<

Test C_AIG_2412 Questions - Pass SAP Certified Associate - SAP Generative AI Developer Forever

In order to provide users with the most abundant C_AIG_2412 learning materials, our company has collected a large amount of information. And set up a professional team to analyze this information. So our C_AIG_2412 study questions contain absolutely all the information you need. At the same time, not only you will find the full information in our C_AIG_2412 Practice Guide, but also you can discover that the information is the latest and our C_AIG_2412 exam braindumps can help you pass the exam for sure just by the first attempt.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q43-Q48):

NEW QUESTION # 43
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
    *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.
  • B. 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
  • C. 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

Answer: B

Explanation:
SAP recommends the following sequence of steps to effectively solve a business problem using the Generative AI Hub:
1. Create a Basic Prompt in SAP AI Launchpad:
* Initiation:Begin by formulating a simple prompt within SAP AI Launchpad to address the business problem. This serves as the foundation for subsequent refinements.
2. Enhance the Prompts:
* Refinement:Iteratively improve the initial prompt to better capture the nuances of the business problem, ensuring clarity and relevance.
3. Create a Baseline Evaluation Method for the Simple Prompt:
* Establish Metrics:Develop an evaluation framework to assess the performance of the prompt, setting a baseline for comparison as enhancements are made.
4. Evaluate Various Models for the Problem Using generative-ai-hub-sdk:
* Model Assessment:Utilize the generative-ai-hub-sdk to test different large language models (LLMs) against the refined prompt, identifying the model that delivers optimal results.
5. Scale the Solution Using generative-ai-hub-sdk:
* Deployment:Once the optimal model and prompt are determined, employ the generative-ai-hub-sdk to scale the solution, integrating it into the business workflow for widespread application.
Conclusion:
Following this structured approach ensures a methodical development and deployment of AI-driven solutions, enhancing their effectiveness in addressing specific business challenges.


NEW QUESTION # 44
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note:
There are 2 correct answers to this question.

  • A. Speed
  • B. Relevance
  • C. Faithfulness
  • D. Carbon footprint

Answer: B,C

Explanation:
Evaluating the effectiveness of a Retrieval-Augmented Generation (RAG) system involves assessing specific metrics that determine the quality and reliability of the generated content.
1. Faithfulness:
* Definition:Faithfulness measures the degree to which the generated output accurately reflects the information retrieved from source documents without introducing unsupported content.
* Importance:High faithfulness ensures that the system's responses are trustworthy and based on factual data, which is crucial for applications requiring precise information dissemination.
2. Relevance:
* Definition:Relevance assesses how pertinent the generated content is to the user's query or the task at hand.
* Importance:Ensuring relevance guarantees that the system provides information that directly addresses user needs, enhancing user satisfaction and system utility.
3. Application in RAG Systems:
* Performance Evaluation:By measuring faithfulness and relevance, developers can fine-tune RAG systems to produce outputs that are both accurate and pertinent, thereby improving overall system performance.
* User Trust:Maintaining high levels of these metrics fosters user trust, as the system consistently delivers reliable and contextually appropriate information.


NEW QUESTION # 45
What does SAP recommend you do before you start training a machine learning model in SAP AI Core?
Note: There are 3 correct answers to this question.

  • A. Perform manual data integration with SAP HANA.
  • B. Define the required infrastructure resources for training.
  • C. Configure the model deployment in SAP Al Launchpad.
  • D. Configure the training pipeline using templates.
  • E. Register the input dataset in SAP AI Core.

Answer: B,D,E

Explanation:
Before initiating the training of a machine learning model in SAP AI Core, SAP recommends the following steps:
* Configure the training pipeline using templates:Utilize predefined templates to set up the training pipeline, ensuring consistency and efficiency in the training process.
* Define the required infrastructure resources for training:Specify the computational resources, such as CPUs or GPUs, necessary for the training job to ensure optimal performance.
* Register the input dataset in SAP AI Core:Ensure that the dataset intended for training is properly registered within SAP AI Core, facilitating seamless access during the training process.
These preparatory steps are crucial for the successful training of machine learning models within the SAP AI Core environment.


NEW QUESTION # 46
Which statement best describes the Chain-of-Thought (COT) prompting technique?

  • A. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.
  • B. Connecting related concepts by having the LLM generate chains of ideas.
  • C. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
  • D. Writing a series of connected prompts creating a chain of related information.

Answer: C


NEW QUESTION # 47
Which of the following is a principle of effective prompt engineering?

  • A. Keep prompts as short as possible to avoid confusion.
  • B. Combine multiple complex tasks into a single prompt.
  • C. Write vague and open-ended instructions to encourage creativity.
  • D. Use precise language and providing detailed context in prompts.

Answer: D

Explanation:
Effective prompt engineering is crucial for guiding AI models to produce accurate and relevant outputs.
1. Importance of Precision and Context:
* Clarity:Using precise language in prompts minimizes ambiguity, ensuring the AI model comprehends the exact requirements.
* Detailed Context:Providing comprehensive context helps the model understand the background and nuances of the task, leading to more accurate and tailored responses.
2. Best Practices in Prompt Engineering:
* Specificity:Clearly define the desired outcome, including any constraints or specific formats required.
* Instruction Inclusion:Incorporate explicit instructions within the prompt to guide the model's behavior effectively.
* Avoiding Ambiguity:Steer clear of vague or open-ended language that could lead to varied interpretations.
3. Benefits of Effective Prompt Engineering:
* Enhanced Output Quality:Well-crafted prompts lead to responses that closely align with user expectations.
* Efficiency:Reduces the need for iterative refinements, saving time and computational resources.


NEW QUESTION # 48
......

As is known to us, different people different understanding of learning, and also use different methods in different periods, and different learning activities suit different people, at different times of the day. Our C_AIG_2412 test questions are carefully designed by a lot of experts and professors in order to meet the needs of all customers. We can promise that our C_AIG_2412 Exam Question will be suitable for all people, including student, housewife, and worker and so on. No matter who you are, you must find that our C_AIG_2412 guide torrent will help you pass the C_AIG_2412 exam easily.

Exam C_AIG_2412 Question: https://www.pdfbraindumps.com/C_AIG_2412_valid-braindumps.html

Report this page