Learn, Practice, and Improve with SAP C_AIG_2412 Practice Test Questions

Why would a user include formatting instructions within a prompt?

A. To force the model to separate relevant and irrelevant output

B. To ensure the model's response follows a desired structure or style

C. To increase the faithfulness of the output

D. To redirect the output to another software program

What is a significant risk associated with using LLMs?

A. Complete elimination of human oversight in content creation

B. Inability to generate text in multiple languages

C. Potential biases in generated content

D. Unlimited processing power usage without cost control

What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub? Note: There are 2 correct answers to this question.

A. Adopt best practice pricing strategies, such as outcome-based pricing

B. Weigh the cost of using advanced models against the expected return on investment

C. Avoid subscription-based pricing models

D. Use pricing models that have fixed rates irrespective of the usage patterns

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

A. Use precise language and providing detailed context in prompts.

B. Combine multiple complex tasks into a single prompt.

C. Keep prompts as short as possible to avoid confusion.

D. Write vague and open-ended instructions to encourage creativity.

Which of the following steps is NOT a requirement to use the Orchestration service?

A. Get an auth token for orchestration

B. Create an instance of an Al model

C. Create a deployment for orchestration

D. Modify the underlying Al models

What must be defined in an executable to train a machine learning model using SAP AI Core? Note: There are 2 correct answers to this question.

A. Pipeline containers to be used

B. Infrastructure resources such as CPUs or GPUs

C. User scripts to manually execute pipeline steps

D. Deployment templates for SAP AI Launchpad

What defines SAP's approach to LLMs?

A. Prioritizing the development of proprietary LLMs with no integration to existing systems

B. Focusing solely on reducing the computational cost of training LLMs

C. Ensuring ethical AI practices and seamless business integration

D. Limiting LLM usage to non-business applications only