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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	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 4	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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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q37-Q42):

NEW QUESTION # 37
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. Perform manual data integration with SAP HANA.
C. Register the input dataset in SAP AI Core.
D. Configure the model deployment in SAP Al Launchpad.
E. Configure the training pipeline using templates.

Answer: A,C,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 # 38
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 in SAP HAN
B. The model's accuracy can be optimized directly in SAP HANA.
C. The model can be deployed for inferencing.
D. The model can be registered in the hyperscaler object store.

Answer: C,D

NEW QUESTION # 39
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

A. Check for foundation model scenario
* Create a deployment
* Configuring entitlements
B. Provision SAP AI
* Core Create a configuration
* Run the booster
C. Provision SAP AI Core
* Check for foundation model scenario
* Create a configuration
* Create a deployment
D. Run the booster
* Create service keys
* Select the executable ID

Answer: C

NEW QUESTION # 40
Why is generative Al gaining significant attention and investment in the current business landscape?
Note: There are 2 correct answers to this question.

A. It lowers barriers to adoption.
B. It can replicate complex technical skills without training or quality control.
C. It only requires natural language skills to use.
D. It can run entire business operations without human intervention.

Answer: A,C

NEW QUESTION # 41
What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.

A. Orchestration of Al workflows such as model training and inference
B. Continuous delivery and tenant isolation for scalability
C. Integration of Al services with business applications using a standardized API
D. Management of SAP S/4HANA cloud infrastructure
E. Monitoring and retraining models in SAP Al Core

Answer: A,B,C

Explanation:
You're asking about the key functionalities of SAP AI Core. Here's a breakdown of the correct answers:
* A. Integration of AI services with business applications using a standardized API:SAP AI Core provides a standardized way to connect AI models and services to your existing business applications.
This means you can easily integrate AI capabilities into your core business processes, regardless of the specific AI technology you're using. This is done through APIs (Application Programming Interfaces), which allow different software systems to communicate with each other.
* B. Continuous delivery and tenant isolation for scalability:
* Continuous delivery:AI Core supports continuous delivery, which means you can quickly and easily deploy and update your AI models. This allows you to adapt to changing business needs and keep your AI solutions up-to-date.
* Tenant isolation:AI Core provides tenant isolation, which is important for security and scalability. This means that different users or departments within your organization can have their own separate AI environments, preventing interference and ensuring data privacy.
* C. Orchestration of AI workflows such as model training and inference:AI Core helps you manage the entire lifecycle of your AI models, including:
* Training:Automating the process of training your AI models on large datasets.
* Inference:Deploying your trained models and using them to make predictions or generate insights.
* Monitoring:Tracking the performance of your AI models over time.
Why the other options are incorrect:
* D. Management of SAP S/4HANA cloud infrastructure:While AI Core can be used with S/4HANA, it's not specifically designed to manage the cloud infrastructure of S/4HANA. That's handled by other SAP services.
* E. Monitoring and retraining models in SAP AI Core:While AI Core supports monitoring, the retraining of models is typically done using other tools and services within the SAP AI ecosystem.

NEW QUESTION # 42
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C_AIG_2412 NEW BRAINDUMPS | C_AIG_2412 RELIABLE DUMPS EBOOK

C_AIG_2412 New Braindumps | C_AIG_2412 Reliable Dumps Ebook