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C-AIG-2412 Valid Cram Materials, Technical C-AIG-2412 Training

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q42-Q47):

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

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

Answer: B

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 can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

A. The model can be deployed for inferencing.
B. The model's accuracy can be optimized directly in SAP HANA.
C. The model can be deployed in SAP HANA.
D. The model can be registered in the hyperscaler object store.

Answer: A,D

NEW QUESTION # 44
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

A. Executables that define the training process
B. The SAP HANA database for model storage
C. Automated deployment to Kubernetes clusters
D. Input datasets stored in a hyperscaler object store

Answer: A,D

NEW QUESTION # 45
What are some components of the training pipeline in SAP AI Core?
Note: There are 2 correct answers to this question.

A. Executables that define the training process
B. The SAP HANA database for model storage
C. Automated deployment to Kubernetes clusters
D. Input datasets stored in a hyperscaler object store

Answer: A,D

NEW QUESTION # 46
Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP Al Core?
Note: There are 2 correct answers to this question.

A. Store the dataset in the SAP HANA Vector Engine.
B. Store the dataset in a hyperscaler object store.
C. Provide the storage secret to access the dataset.
D. Grant access rights to the SAP BTP cockpit.

Answer: B,C

NEW QUESTION # 47
......

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