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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q59-Q64):

NEW QUESTION # 59
Which of the following steps is NOT a requirement to use the Orchestration service?

A. Get an auth token for orchestration
B. Create a deployment for orchestration
C. Modify the underlying Al models
D. Create an instance of an Al model

Answer: C

Explanation:
To utilize the Orchestration service in SAP's Generative AI Hub, several steps are required; however, modifying the underlying AI models is not among them:
1. Required Steps:
* Get an Auth Token for Orchestration:Obtain authentication credentials to access the orchestration service.
* Create an Instance of an AI Model:Set up an instance of the desired AI model to be used within the orchestration pipeline.
* Create a Deployment for Orchestration:Deploy the configured AI model instance to the orchestration service, enabling it for processing requests.
2. Not Required:
* Modify the Underlying AI Models:The orchestration service allows users to utilize pre-existing AI models without the need to alter their foundational architecture or training.

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

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

Answer: A,D

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

Answer: C,D,E

Explanation:
Utilizing an SDK for evaluating prompts within the context of generative AI offers several benefits:
1. Creating Custom Evaluators That Meet Specific Business Needs:
* Tailored Evaluation Metrics:An SDK allows developers to design and implement custom evaluation metrics that align with specific business objectives, ensuring that prompt assessments are relevant and meaningful.
* Flexibility in Evaluation Criteria:Developers can define criteria that reflect the unique requirements of their applications, leading to more accurate and business-aligned evaluations.
2. Automating Prompt Testing Across Various Scenarios:
* Scalability:An SDK enables the automation of prompt testing across multiple scenarios, facilitating large-scale evaluations without manual intervention.
* Consistency:Automated testing ensures consistent application of evaluation criteria, reducing the potential for human error and increasing reliability.
3. Providing Metrics to Quantitatively Assess Response Quality:
* Objective Assessment:The SDK can generate quantitative metrics, such as accuracy, relevance, and coherence scores, providing an objective basis for evaluating prompt performance.
* Performance Monitoring:These metrics enable continuous monitoring and improvement of prompt quality, ensuring that AI models deliver optimal results.

NEW QUESTION # 62
Which technique is used to supply domain-specific knowledge to an LLM?

A. Domain-adaptation training
B. Retrieval-Augmented Generation
C. Prompt template expansion
D. Fine-tuning the model on general data

Answer: A

NEW QUESTION # 63
Which of the following statements accurately describe the RAG process? Note: There are 2 correct ans-wers to this question.

A. The LLM directly ans wers the user's question without accessing external information.
B. The retrieved content is combined with the LLM's capabilities to generate a response.
C. The user's questi on is used to search a knowledge base or a set of documents.
D. The embedding model stores the generated ans wers for future reference.

Answer: B,C

NEW QUESTION # 64
......

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