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SAP C_AIG_2412 Valid Dumps Demo - C_AIG_2412 Well Prep

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It is similar to the C_AIG_2412 desktop-based software, with all the elements of the desktop practice exam. This C_AIG_2412 exam can be accessed from any browser and does not require installation. The C_AIG_2412 questions in the mock test are the same as those in the real exam. And candidates will be able to take the web-based C_AIG_2412 Practice Test immediately through any operating system and browsers.

SAP C_AIG_2412 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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.

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 (Q14-Q19):

NEW QUESTION # 14
What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

A. The model can be deployed for inferencing.
B. The model's accuracy can be optimized directly in SAP HANA.
C. The model can be registered in the hyperscaler object store.
D. The model can be deployed in SAP HANA.

Answer: A,C

NEW QUESTION # 15
What can be done once the training of a machine learning model has been completed in SAP AICore? Note:
There are 2 correct answers to this question.

A. The model can be deployed for inferencing.
B. The model's accuracy can be optimized directly in SAP HANA.
C. The model can be registered in the hyperscaler object store.
D. The model can be deployed in SAP HANA.

Answer: A,C

Explanation:
Once the training of a machine learning model has been completed in SAP AI Core, several post-training actions can be undertaken to operationalize and manage the model effectively.
1. Deploying the Model for Inferencing:
* Deployment Process:After training, the model can be deployed as a service to handle inference requests. This involves setting up a model server that exposes an endpoint for applications to send data and receive predictions.
* Integration:The deployed model can be integrated into business applications, enabling real-time decision-making based on the model's predictions.

NEW QUESTION # 16
Which of the following is unique about SAP's approach to Al?

A. Utilizing Al mainly for marketing purposes.
B. Offering Al capabilities in their future products as of 2025.
C. SAP's deep integration of Al with business processes and analytics.
D. Focusing Al solely on customer support services.

Answer: C

NEW QUESTION # 17
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. User scripts to manually execute pipeline steps
B. Deployment templates for SAP AI Launchpad
C. Infrastructure resources such as CPUs or GPUs
D. Pipeline containers to be used

Answer: C,D

NEW QUESTION # 18
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. User scripts to manually execute pipeline steps
B. Deployment templates for SAP AI Launchpad
C. Infrastructure resources such as CPUs or GPUs
D. Pipeline containers to be used

Answer: C,D

Explanation:
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.

NEW QUESTION # 19
......

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