AWS Certified AI Practitioner

Explanation

The correct answer is C) Output Indicator.

Why this is correct:

• Output Indicator is the part of a prompt that specifies the desired format, structure, or type of output from the AI model.
• When you want AI-generated content in a specific format (like a structured table instead of plain text), you need to include this requirement in the output indicator section of your prompt.
• Examples of output indicators include: "Provide the answer in a table format", "List the items as bullet points", "Format the response as JSON", etc.

Why other options are incorrect:

• A) Input data: This refers to the information or data provided to the AI model for processing, not the format of the output.
• B) Context: This provides background information or constraints for the AI to understand the scenario better, but doesn't specify output format requirements.
• D) Temperature setting: This is a parameter that controls the randomness/creativity of the AI's responses (typically ranging from 0 to 1), not a part of the prompt structure.

Prompt Engineering Components:

1. Instruction: What you want the AI to do
2. Context: Background information
3. Input data: Information to process
4. Output indicator: Format/structure of the response
5. Examples: Few-shot examples (if provided)

In this case, specifying "in a structured table format" clearly belongs to the output indicator component of prompt engineering.