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WGU D685 - Practical Applications Of
Prompt OA AND PA| Certified Q&A
2026
persona - correct-answer-refers to a fictional character or user profile created to
represent a specific demographic, behavior pattern, or set of characteristics
input content - correct-answer-the information or data provided to a system,
model, or application as input for processing or analysis
output format - correct-answer-the structure, layout, and presentation style of
the results or outputs generated by a system, model, or process
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additional information - correct-answer-supplementary data or details provided
alongside the main content to provide context, clarification, or background
information
constraints - correct-answer-limitations, conditions, or rules that restrict the
behavior, actions, or design choices of a system, model, or process
verbosity - correct-answer-the amount of detail or brevity in the prompt's
language, affecting the extent of information communicated to the AI chatbot
tone - correct-answer-the emotional or expressive quality conveyed in a piece of
text or communication
factual responses - correct-answer-statements or answers that provide accurate,
objective information based on verifiable facts or evidence
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summarizing text - correct-answer-the process of condensing a longer piece of
text into a shorter, more concise version while retaining the key information and
main ideas
summarizing code - correct-answer-involves condensing a software program or
codebase into a shorter, more digestible form while preserving its functionality
and logic
text extraction - correct-answer-the process of automatically identifying and
extracting specific pieces of text or information from a larger document, dataset,
or source
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, 4|Page
named entity recognition (NER) - correct-answer-an NLP task that involves
identifying and classifying named entities (such as names of persons,
organizations, locations, dates, and other proper nouns) within a piece of text
part-of-speech (POS) - correct-answer-an NLP task that involves assigning
grammatical categories or tags to each word in a sentence based on its syntactic
function and role within the sentence
text classification - correct-answer-an NLP task that involves categorizing text
documents or instances into predefined classes or categories based on their
content, themes, or characteristics
context - correct-answer-the surrounding circumstances, conditions, or
information that influence the interpretation, meaning, or significance of
something
4|Page
WGU D685 - Practical Applications Of
Prompt OA AND PA| Certified Q&A
2026
persona - correct-answer-refers to a fictional character or user profile created to
represent a specific demographic, behavior pattern, or set of characteristics
input content - correct-answer-the information or data provided to a system,
model, or application as input for processing or analysis
output format - correct-answer-the structure, layout, and presentation style of
the results or outputs generated by a system, model, or process
1|Page
,2|Page
additional information - correct-answer-supplementary data or details provided
alongside the main content to provide context, clarification, or background
information
constraints - correct-answer-limitations, conditions, or rules that restrict the
behavior, actions, or design choices of a system, model, or process
verbosity - correct-answer-the amount of detail or brevity in the prompt's
language, affecting the extent of information communicated to the AI chatbot
tone - correct-answer-the emotional or expressive quality conveyed in a piece of
text or communication
factual responses - correct-answer-statements or answers that provide accurate,
objective information based on verifiable facts or evidence
2|Page
,3|Page
summarizing text - correct-answer-the process of condensing a longer piece of
text into a shorter, more concise version while retaining the key information and
main ideas
summarizing code - correct-answer-involves condensing a software program or
codebase into a shorter, more digestible form while preserving its functionality
and logic
text extraction - correct-answer-the process of automatically identifying and
extracting specific pieces of text or information from a larger document, dataset,
or source
3|Page
, 4|Page
named entity recognition (NER) - correct-answer-an NLP task that involves
identifying and classifying named entities (such as names of persons,
organizations, locations, dates, and other proper nouns) within a piece of text
part-of-speech (POS) - correct-answer-an NLP task that involves assigning
grammatical categories or tags to each word in a sentence based on its syntactic
function and role within the sentence
text classification - correct-answer-an NLP task that involves categorizing text
documents or instances into predefined classes or categories based on their
content, themes, or characteristics
context - correct-answer-the surrounding circumstances, conditions, or
information that influence the interpretation, meaning, or significance of
something
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