Prompt Engineering for Prompt Builder - Test Your Recall

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Question 1 of 6

1. Question
Which key element tells the model what role to adopt when generating a response?
- Persona
- Grounding Data
- Tone
- Response Length
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Question 2 of 6

2. Question
Including grounding data in a prompt primarily serves to:
- Reduce hallucinations and personalize responses
- Ensure the model always provides a very long answer
- Define the communication channel for the output
- Specify the model’s role in detail
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Question 3 of 6

3. Question
What role does “tone” play in a prompt template?
- It steers the style and mood of the model’s response.
- It organizes merge fields for participant data.
- It instructs the model on technical details.
- It sets the specific word count for the output.
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Question 4 of 6

4. Question
Why is it beneficial to include examples in your prompt template?
- They help the model understand the framework and align its output with the expected format.
- They unnecessarily increase the prompt’s length.
- They provide additional unrelated data to the model.
- They automatically improve the model’s language skills.
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Question 5 of 6

5. Question
What is the purpose of providing detailed instructions enclosed in triple quotes within a prompt?
- To clearly separate the instructions from the context and help the model distinguish what content to generate.
- To add extra decorative formatting that the model ignores.
- To specify the output language by highlighting key terms.
- To define merge fields for both the sender and the recipient.
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Question 6 of 6

6. Question
Which of the following best explains the distinction between “response length” and “prompt length” in effective prompt design?
- Response length guides how long the generated output should be, while prompt length refers to the amount of contextual detail provided to improve model understanding and accuracy.
- Response length dictates the amount of text the model outputs, while prompt length is irrelevant as long as the main instruction is included.
- Response length determines the number of merge fields used, whereas prompt length influences the tone of the content.
- Response length is set by the model’s default behavior, and prompt length is determined solely by the number of examples provided.
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Prompt Engineering for Prompt Builder – Test Your Recall

Prompt Engineering for Prompt Builder – Test Your Recall

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