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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q16-Q21):

NEW QUESTION # 16
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. Register the input dataset in SAP AI Core.
B. Perform manual data integration with SAP HANA.
C. Define the required infrastructure resources for training.
D. Configure the training pipeline using templates.
E. Configure the model deployment in SAP Al Launchpad.

Answer: A,C,D

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 # 17
What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?

A. Design new product interfaces for SAP applications
B. Enhance the accuracy and relevance of Al applications that use SAP's data assets
C. Get more training data for new models
D. Train new models using SAP and non-SAP data

Answer: B

NEW QUESTION # 18
What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.

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

Answer: A,C,E

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 # 19
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.

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

Answer: A,C

NEW QUESTION # 20
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

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

Answer: D

NEW QUESTION # 21
......

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