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How do resource groups in SAP AI Core improve the management of machine learning workloads?
Note: There are 2 correct answers to this question.
A. They enable simultaneous orchestration of Kubernetes clusters.
B. They ensure workload separation for different tenants or departments.
C. They enhance pipeline execution speeds through workload distribution.
D. They provide isolation for datasets and Al artifacts.
答案：B,D
問題 #13
Which statement best describes the Chain-of-Thought (COT) prompting technique?
A. Connecting related concepts by having the LLM generate chains of ideas.
B. Writing a series of connected prompts creating a chain of related information.
C. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
D. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.
答案：C
解題說明：
Chain-of-Thought (CoT) prompting is a technique that involves concatenating multiple related prompts to guide a language model through a series of reasoning steps, leading to a final conclusion.
1. Structure of CoT Prompting:
* Sequential Reasoning:By breaking down a complex problem into a sequence of intermediate prompts, the model addresses each step methodically, enhancing its problem-solving capabilities.
* Logical Progression:Each prompt builds upon the previous one, ensuring a coherent flow of information that mirrors human logical reasoning.
2. Advantages of CoT Prompting:
* Enhanced Comprehension:This structured approach helps the model understand and process intricate tasks by focusing on one aspect at a time.
* Improved Accuracy:By guiding the model through detailed reasoning steps, CoT prompting reduces the likelihood of errors in the final output.
問題 #14
How do resource groups in SAP AI Core improve the management of machine learning workloads? Note:
There are 2 correct answers to this question.
A. They enable simultaneous orchestration of Kubernetes clusters.
B. They ensure workload separation for different tenants or departments.
C. They enhance pipeline execution speeds through workload distribution.
D. They provide isolation for datasets and Al artifacts.
答案：B,D
解題說明：
Resource groups in SAP AI Core play a vital role in managing machine learning workloads by offering mechanisms for separation and isolation, which are essential for maintaining efficiency and security.
1. Ensuring Workload Separation for Different Tenants or Departments:
* Multitenancy Support:Resource groups enable the segregation of workloads among various tenants or departments within an organization, ensuring that each unit's processes are isolated and managed independently.
* Operational Efficiency:This separation prevents interference between workloads, allowing for tailored resource allocation and management strategies that meet the specific needs of each tenant or department.
問題 #15
Which of the following steps must be performed to deploy LLMs in the generative Al hub?
A. Run the booster
* Create service keys
* Select the executable ID
B. Check for foundation model scenario
* Create a deployment
* Configuring entitlements
C. Provision SAP AI Core
* Check for foundation model scenario
* Create a configuration
* Create a deployment
D. Provision SAP AI
* Core Create a configuration
* Run the booster
答案：C
問題 #16
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. Simplified model retraining and performance improvement.
C. Direct deployment of Al models to SAP HAN
D. Integration with non-SAP platforms like Azure and AWS.