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100% Pass-Rate C_AIG_2412 Valid Braindumps Questions | Accurate C_AIG_2412 Valid Test Questions: SAP Certified Associate - SAP Generative AI Developer

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SAP C_AIG_2412 Valid Test Questions & Reliable C_AIG_2412 Dumps Pdf

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SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

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'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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q60-Q65):

NEW QUESTION # 60
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

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

Answer: A,B

Explanation:
SAP AI Launchpad offers several benefits that enhance the development, deployment, and management of AI models within an organization.
1. Centralized AI Lifecycle Management for All AI Scenarios:
* Unified Platform:SAP AI Launchpad provides a centralized platform to manage the entire AI lifecycle, including model development, training, deployment, monitoring, and maintenance.
* Efficiency:This centralized approach streamlines workflows, reduces complexity, and ensures consistency across various AI projects and scenarios.

NEW QUESTION # 61
What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note: There are 3 correct answers to this question.

A. Creating custom evaluators that meet specific business needs
B. Supporting low code evaluations using graphical user interface
C. Providing metrics to quantitatively assess response quality
D. Maintaining data privacy by using data masking techniques
E. Automating prompt testing across various scenarios

Answer: A,C,E

NEW QUESTION # 62
What is one primary benefit of using LLMs in business applications?

A. They replace the need for human decision-making entirely
B. They enhance automation and scalability of processes
C. They require no maintenance or updates once implemented
D. They eliminate all data privacy concerns in business operations

Answer: B

Explanation:
The primary benefit of using LLMs in business applications is their ability to enhance automation and scalability, making processes more efficient and adaptable to large-scale needs. Option A is incorrect because LLMs augment, rather than fully replace, human decision-making-human oversight remains critical. Option B is false as LLMs do not inherently eliminate privacy concerns; data privacy must still be managed (e.g., through SAP's privacy-preserving techniques like differential privacy). Option C is inaccurate since LLMs require ongoing maintenance, updates, and monitoring to remain effective. Option D is correct because LLMs automate tasks like document processing, content generation, and customer interaction, while their scalability allows businesses to handle increasing data volumes and user demands efficiently, as seen in SAP's integration with tools like Joule and SAP Business AI.

NEW QUESTION # 63
Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP Al Core?
Note: There are 2 correct answers to this question.

A. Store the dataset in a hyperscaler object store.
B. Grant access rights to the SAP BTP cockpit.
C. Store the dataset in the SAP HANA Vector Engine.
D. Provide the storage secret to access the dataset.

Answer: A,D

Explanation:
Before connecting to a dataset for training a machine learning model in SAP AI Core, the following steps are necessary:
* Store the dataset in a hyperscaler object store:Ensure that the dataset is stored in a compatible object storage service provided by a cloud hyperscaler (e.g., AWS S3, Azure Blob Storage) to facilitate seamless access during training.
* Provide the storage secret to access the dataset:Configure the necessary access credentials (storage secrets) within SAP AI Core to securely connect to and retrieve the dataset from the object store.
These steps are essential to establish a secure and efficient connection to the dataset, enabling successful model training within SAP AI Core.

NEW QUESTION # 64
What capabilities does the Exploration and Development feature of the generative Al hub provide?
Note: There are 2 correct answers to this question.

A. Develop and debug ABAP code
B. Prompt editor and management
C. Automatic model selection
D. Al playground and chat

Answer: B,D

NEW QUESTION # 65
......

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