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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q40-Q45):

NEW QUESTION # 40
Why would a user include formatting instructions within a prompt?

A. To ensure the model's response follows a desired structure or style
B. To increase the faithfulness of the output
C. To redirect the output to another software program
D. To force the model to separate relevant and irrelevant output

Answer: A

NEW QUESTION # 41
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

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

Answer: A

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 # 42
Which of the following is a principle of effective prompt engineering?

A. Combine multiple complex tasks into a single prompt.
B. Keep prompts as short as possible to avoid confusion.
C. Use precise language and providing detailed context in prompts.
D. Write vague and open-ended instructions to encourage creativity.

Answer: C

Explanation:
Effective prompt engineering is crucial for guiding AI models to produce accurate and relevant outputs.
1. Importance of Precision and Context:
* Clarity:Using precise language in prompts minimizes ambiguity, ensuring the AI model comprehends the exact requirements.
* Detailed Context:Providing comprehensive context helps the model understand the background and nuances of the task, leading to more accurate and tailored responses.
2. Best Practices in Prompt Engineering:
* Specificity:Clearly define the desired outcome, including any constraints or specific formats required.
* Instruction Inclusion:Incorporate explicit instructions within the prompt to guide the model's behavior effectively.
* Avoiding Ambiguity:Steer clear of vague or open-ended language that could lead to varied interpretations.
3. Benefits of Effective Prompt Engineering:
* Enhanced Output Quality:Well-crafted prompts lead to responses that closely align with user expectations.
* Efficiency:Reduces the need for iterative refinements, saving time and computational resources.

NEW QUESTION # 43
What does the Prompt Management feature of the SAP AI launchpad allow users to do?

A. Provide personalized user interactions
B. Access and manage saved prompts and their versions
C. Create and edit prompts
D. Interact with models through a conversational interface

Answer: B,C

NEW QUESTION # 44
What is the primary function of the embedding model in a RAG system?

A. To generate responses based on retrieved documents and user queries
B. To encode queries and documents into vector representations for comparison
C. To store vector representations of documents and search for relevant passages
D. To evaluate the faithfulness and relevance of generated answers

Answer: B

NEW QUESTION # 45
......

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