1|Page
WGU D685 OBJECTIVE ASSESSMENT NEWEST 2025
ACTUAL EXAM| D685 PRACTICAL APPLICATIONS OF
PROMPT OA WITH 200 REAL EXAM QUESTIONS AND
CORRECT VERIFIED ANSWERS/ ALREADY GRADED
A+ (MOST RECENT!!)
Which AI technique is best for tasks like image recognition and natural
language processing?
A. Genetic algorithms
B. Symbolic logic
C. Deep learning
D. Classical programming - Correct Answer -C. Deep learning
What is the purpose of deep learning models?
A. To randomly sample data
B. To manually code decision trees
C. To learn features and patterns automatically from large datasets
D. To translate compiled code - Correct Answer -D. To learn features
and patterns automatically from large datasets
What are Large Language Models (LLMs) trained on?
A. Computer hardware signals
B. Tabular financial data
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C. Massive amounts of text data
D. Video games only - Correct Answer -C. Massive amounts of text data
Which task can Large Language Models (LLMs) perform effectively?
A. Managing physical disk drives
B. Image rendering only
C. Language translation and question answering
D. Hardware virtualization - Correct Answer -D. Language translation
and question answering
What enables LLMs to generate human-like language?
A. GPU instructions
B. Static rule-based systems
C. Exposure to diverse text data from books, articles, and websites
D. XML markup schemas - Correct Answer -A. Exposure to diverse text
data from books, articles, and websites
In which fields can LLMs have a transformative impact?
A. CPU manufacturing
B. Power supply regulation
C. Customer service, education, and content creation
D. Graphics card engineering - Correct Answer -B. Customer service,
education, and content creation
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What is the Cognitive Verifier Pattern in prompt engineering?
A. A prompt structure where LLMs verify external sources
B. A memory technique for AI training
C. A method where the model asks itself clarifying questions to improve
comprehension
D. A system for hard-coding responses into an AI - Correct Answer -C. A
method where the model asks itself clarifying questions to improve
comprehension
When is the Cognitive Verifier Pattern most useful?
A. During chatbot deployment
B. For summarizing documents
C. While testing a model's comprehension or logical reasoning
D. While generating artwork from prompts - Correct Answer -D. While
testing a model's comprehension or logical reasoning
You give 3 example job reviews and their labels. Then you ask the
model to label a new review. Which technique are you using?
A. Tree-of-Thought
B. Self-Consistency
C. Few-Shot Prompting
D. Chain-of-Thought - Correct Answer -C. Few-Shot Prompting
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What prompting technique is illustrated here?
Prompt: "Write a story about a robot lost in a city. What are possible
reasons? What could happen next? Pick one and continue."
A. Chain-of-Thought
B. Self-Consistency
C. Zero-Shot
D. Tree-of-Thought - Correct Answer -C. Tree-of-Thought
You ask: "What is the capital of Brazil?" without giving any examples or
context. The model answers, "Brasília."
What prompting technique is this?
A. Chain-of-Thought
B. Zero-Shot Prompting
C. Few-Shot Prompting
D. Self-Consistency - Correct Answer -B. Zero-Shot Prompting
You prompt a model to write a product description. It responds by first
asking: "Who is the audience?" and "What tone should I use?" Then it
uses your answers to write a tailored description. Which technique is
this?
A. Zero-Shot Prompting
B. Few-Shot Prompting
C. Self-Consistency
pg. 4
WGU D685 OBJECTIVE ASSESSMENT NEWEST 2025
ACTUAL EXAM| D685 PRACTICAL APPLICATIONS OF
PROMPT OA WITH 200 REAL EXAM QUESTIONS AND
CORRECT VERIFIED ANSWERS/ ALREADY GRADED
A+ (MOST RECENT!!)
Which AI technique is best for tasks like image recognition and natural
language processing?
A. Genetic algorithms
B. Symbolic logic
C. Deep learning
D. Classical programming - Correct Answer -C. Deep learning
What is the purpose of deep learning models?
A. To randomly sample data
B. To manually code decision trees
C. To learn features and patterns automatically from large datasets
D. To translate compiled code - Correct Answer -D. To learn features
and patterns automatically from large datasets
What are Large Language Models (LLMs) trained on?
A. Computer hardware signals
B. Tabular financial data
pg. 1
,2|Page
C. Massive amounts of text data
D. Video games only - Correct Answer -C. Massive amounts of text data
Which task can Large Language Models (LLMs) perform effectively?
A. Managing physical disk drives
B. Image rendering only
C. Language translation and question answering
D. Hardware virtualization - Correct Answer -D. Language translation
and question answering
What enables LLMs to generate human-like language?
A. GPU instructions
B. Static rule-based systems
C. Exposure to diverse text data from books, articles, and websites
D. XML markup schemas - Correct Answer -A. Exposure to diverse text
data from books, articles, and websites
In which fields can LLMs have a transformative impact?
A. CPU manufacturing
B. Power supply regulation
C. Customer service, education, and content creation
D. Graphics card engineering - Correct Answer -B. Customer service,
education, and content creation
pg. 2
,3|Page
What is the Cognitive Verifier Pattern in prompt engineering?
A. A prompt structure where LLMs verify external sources
B. A memory technique for AI training
C. A method where the model asks itself clarifying questions to improve
comprehension
D. A system for hard-coding responses into an AI - Correct Answer -C. A
method where the model asks itself clarifying questions to improve
comprehension
When is the Cognitive Verifier Pattern most useful?
A. During chatbot deployment
B. For summarizing documents
C. While testing a model's comprehension or logical reasoning
D. While generating artwork from prompts - Correct Answer -D. While
testing a model's comprehension or logical reasoning
You give 3 example job reviews and their labels. Then you ask the
model to label a new review. Which technique are you using?
A. Tree-of-Thought
B. Self-Consistency
C. Few-Shot Prompting
D. Chain-of-Thought - Correct Answer -C. Few-Shot Prompting
pg. 3
, 4|Page
What prompting technique is illustrated here?
Prompt: "Write a story about a robot lost in a city. What are possible
reasons? What could happen next? Pick one and continue."
A. Chain-of-Thought
B. Self-Consistency
C. Zero-Shot
D. Tree-of-Thought - Correct Answer -C. Tree-of-Thought
You ask: "What is the capital of Brazil?" without giving any examples or
context. The model answers, "Brasília."
What prompting technique is this?
A. Chain-of-Thought
B. Zero-Shot Prompting
C. Few-Shot Prompting
D. Self-Consistency - Correct Answer -B. Zero-Shot Prompting
You prompt a model to write a product description. It responds by first
asking: "Who is the audience?" and "What tone should I use?" Then it
uses your answers to write a tailored description. Which technique is
this?
A. Zero-Shot Prompting
B. Few-Shot Prompting
C. Self-Consistency
pg. 4
