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C-AIG-2412 Questions | C-AIG-2412 Actual Tests

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SAP C-AIG-2412 Exam Syllabus Topics:

Topic
Details

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

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 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.

Topic 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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q19-Q24):

NEW QUESTION # 19
What is the primary function of the generative Al hub in SAP's Al Foundation?

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

Answer: A

NEW QUESTION # 20
Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question.

A. Proprietary LLMs exclusively
B. Integration of foundation models into applications
C. Code generation to extend SAP BTP applications
D. Tools for prompt engineering and experimentation

Answer: C,D

NEW QUESTION # 21
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. Define the required infrastructure resources for training.
B. Configure the training pipeline using templates.
C. Register the input dataset in SAP AI Core.
D. Configure the model deployment in SAP Al Launchpad.
E. Perform manual data integration with SAP HANA.

Answer: A,B,C

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 # 22
What is a Large Language Model (LLM)?

A. An Al model that specializes in processing, understanding, and generating human language.
B. A gradient boosted decision tree algorithm for predicting text.
C. A rule-based expert system to analyze and generate grammatically correct sentences.
D. A database system optimized for storing large volumes of textual data.

Answer: A

NEW QUESTION # 23
What are some benefits of the SAP AI Launchpad? Note: There are 2 correct answers to this question.

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

Answer: B,C

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 # 24
......

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