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| Topic |
Details |
| Topic 1 |
- SAP's Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers SAP’s Generative AI Hub, which acts as the central layer for designing and managing generative AI solutions. The exam tests knowledge of building, deploying, and connecting AI models to business scenarios through the Hub. Emphasis is placed on leveraging the Hub to streamline workflows and ensure scalable solutions that align with organizational needs.
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| Topic 2 |
- Advanced AI Techniques with SAP’s Generative AI Hub: This section of the exam measures the skills of Solution Architects and covers advanced techniques available through SAP’s Generative AI Hub. Candidates are assessed on their ability to design, optimize, and scale generative AI solutions that go beyond basic implementations. The focus includes applying sophisticated strategies to integrate advanced models, manage performance, and align AI-driven outcomes with complex enterprise goals.
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| Topic 3 |
- SAP AI Core: This section of the exam measures the skills of AI Developers and covers the fundamental components of SAP AI Core. Candidates are assessed on their ability to work with the core services that allow machine learning models to be deployed and managed within SAP environments. The focus is on understanding how AI Core fits into SAP’s ecosystem and ensures smooth integration with enterprise applications.
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| Topic 4 |
- Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the practical use of large language models in SAP environments. Candidates are expected to understand how LLMs can be applied to automate tasks, enhance decision-making, and improve user interaction within SAP systems. The exam evaluates knowledge of handling model selection, fine-tuning, and adapting LLMs to specific business cases.
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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q47-Q52):
NEW QUESTION # 47
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 # 48
How does SAP ensure the enterprise-readiness of its Al solutions?
- A. By ensuring that Al models make bias-free decisions without human input
- B. By implementing rigorous product standards for Al capabilities
- C. By using generic Al models without business context complying with Al ethics standards
Answer: B
NEW QUESTION # 49
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. Automating prompt testing across various scenarios
- B. Creating custom evaluators that meet specific business needs
- C. Maintaining data privacy by using data masking techniques
- D. Supporting low code evaluations using graphical user interface
- E. Providing metrics to quantitatively assess response quality
Answer: A,B,E
NEW QUESTION # 50
What are some advantages of using agents in training models? Note: There are 2 correct answers to this question.
- A. To eliminate the need for human oversight
- B. To streamline LLM workflows
- C. To guarantee accurate decision making in complex scenarios
- D. To improve the quality of results
Answer: B,D
NEW QUESTION # 51
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
*Check for foundation model scenario
*Create a configuration
*Create a deployment
- C. Provision SAP AI
*Core Create a configuration
*Run the booster
- D. Run the booster
*Create service keys
*Select the executable ID
Answer: B
Explanation:
Deploying Large Language Models (LLMs) in SAP's Generative AI Hub involves a structured process:
1. Provision SAP AI Core:
* Setup:Ensure that SAP AI Core is provisioned in your SAP Business Technology Platform (BTP) account to manage AI workloads.
2. Check for Foundation Model Scenario:
* Validation:Verify the availability of the foundation model scenario within SAP AI Core to confirm that the necessary resources and configurations are in place for deploying LLMs.
3. Create a Configuration:
* Configuration Setup:Define the parameters and settings required for the LLM deployment, including model specifications and resource allocations.
4. Create a Deployment:
* Deployment Execution:Initiate the deployment process within SAP AI Core, making the LLM available for integration and use within your applications.
NEW QUESTION # 52
......
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