WGU D685 - Practical Applications of Prompt OBJECTIVE ASSESSMENT
FINAL NEWEST 2026/ 2027 ACTUAL EXAM| D685 PRACTICAL
APPLICATIONS OF PROMPT ENGINEERING OA FINAL REVIEW
WITH 250 REAL EXAM QUESTIONS AND CORRECT VERIFIED
ANSWERS/ ALREADY GRADED A+ (MOST RECENT!!)
generative AI
ANSWERS: AI systems that can create new content
large language models (LLMs)
ANSWERS: a type of machine learning model that is trained on massive
amounts of text data to understand and generate human-like language
natural language processing (NLP)
ANSWERS: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the intricacies of
human
communication
chatbots
ANSWERS: AI programs designed to engage in natural conversations with
people, providing information, answering questions, and even offering
emotional support
computer vision
ANSWERS: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such as
images and videos
,robotics
ANSWERS: the field of AI that focuses on designing, constructing, and
operating robots
statistical analysis
ANSWERS: a technique employed in AI that involves collecting,
organizing, examining, and interpreting data to identify patterns and
make predictions
AI tools
ANSWERS: software programs designed to assist users in performing
AI-related tasks
This is an example of Few-Shot Prompting
ANSWERS: Match the example prompts with the technique:
"Write a dialogue between two friends planning a trip."
structured data
ANSWERS: data that is organized in a well-defined format and is typically
stored in databases or spreadsheets
unstructured data
ANSWERS: includes text documents, images, videos, audio recordings,
social media posts, and other types of data that do not fit neatly into a
structured
format
,adversarial attack
ANSWERS: deliberate attempts to deceive or manipulate AI systems by
introducing carefully crafted perturbations to the input data
AI drift
ANSWERS: the phenomenon where the performance of an AI model
deteriorates over time as the underlying data distribution changes
generative adversarial networks (GANs)
ANSWERS: a type of deep learning model that uses an adversarial
training process to create new data
prompt
ANSWERS: a user query, command, or input in an AI interface
interface
ANSWERS: the means by which users interact with and provide input to
AI models to generate desired outputs, such as text, images, or other
forms of
content
specificity
ANSWERS: the degree to which prompts are tailored to the individual
user's needs, preferences, and current context
temperature
ANSWERS: a parameter in the LLM that influences the level of randomness
or creativity in generated outputs
, false positive
ANSWERS: occurs when the model incorrectly generates outputs that
are not relevant or accurate to the input or task
true negative
ANSWERS: refers to instances where the model correctly identifies
inputs or conditions as not meeting certain criteria or expectations
structured query language (SQL)
ANSWERS: a specialized programming language used for managing and
manipulating relational databases, facilitating tasks such as data
retrieval, insertion, updating, and deletion, while also enabling database
administration and schema definition.
persona
ANSWERS: refers to a fictional character or user profile created to
represent a specific demographic, behavior pattern, or set of
characteristics
input content
ANSWERS: the information or data provided to a system, model, or
application as input for processing or analysis
output format
ANSWERS: the structure, layout, and presentation style of the results or
outputs generated by a system, model, or process
FINAL NEWEST 2026/ 2027 ACTUAL EXAM| D685 PRACTICAL
APPLICATIONS OF PROMPT ENGINEERING OA FINAL REVIEW
WITH 250 REAL EXAM QUESTIONS AND CORRECT VERIFIED
ANSWERS/ ALREADY GRADED A+ (MOST RECENT!!)
generative AI
ANSWERS: AI systems that can create new content
large language models (LLMs)
ANSWERS: a type of machine learning model that is trained on massive
amounts of text data to understand and generate human-like language
natural language processing (NLP)
ANSWERS: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the intricacies of
human
communication
chatbots
ANSWERS: AI programs designed to engage in natural conversations with
people, providing information, answering questions, and even offering
emotional support
computer vision
ANSWERS: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such as
images and videos
,robotics
ANSWERS: the field of AI that focuses on designing, constructing, and
operating robots
statistical analysis
ANSWERS: a technique employed in AI that involves collecting,
organizing, examining, and interpreting data to identify patterns and
make predictions
AI tools
ANSWERS: software programs designed to assist users in performing
AI-related tasks
This is an example of Few-Shot Prompting
ANSWERS: Match the example prompts with the technique:
"Write a dialogue between two friends planning a trip."
structured data
ANSWERS: data that is organized in a well-defined format and is typically
stored in databases or spreadsheets
unstructured data
ANSWERS: includes text documents, images, videos, audio recordings,
social media posts, and other types of data that do not fit neatly into a
structured
format
,adversarial attack
ANSWERS: deliberate attempts to deceive or manipulate AI systems by
introducing carefully crafted perturbations to the input data
AI drift
ANSWERS: the phenomenon where the performance of an AI model
deteriorates over time as the underlying data distribution changes
generative adversarial networks (GANs)
ANSWERS: a type of deep learning model that uses an adversarial
training process to create new data
prompt
ANSWERS: a user query, command, or input in an AI interface
interface
ANSWERS: the means by which users interact with and provide input to
AI models to generate desired outputs, such as text, images, or other
forms of
content
specificity
ANSWERS: the degree to which prompts are tailored to the individual
user's needs, preferences, and current context
temperature
ANSWERS: a parameter in the LLM that influences the level of randomness
or creativity in generated outputs
, false positive
ANSWERS: occurs when the model incorrectly generates outputs that
are not relevant or accurate to the input or task
true negative
ANSWERS: refers to instances where the model correctly identifies
inputs or conditions as not meeting certain criteria or expectations
structured query language (SQL)
ANSWERS: a specialized programming language used for managing and
manipulating relational databases, facilitating tasks such as data
retrieval, insertion, updating, and deletion, while also enabling database
administration and schema definition.
persona
ANSWERS: refers to a fictional character or user profile created to
represent a specific demographic, behavior pattern, or set of
characteristics
input content
ANSWERS: the information or data provided to a system, model, or
application as input for processing or analysis
output format
ANSWERS: the structure, layout, and presentation style of the results or
outputs generated by a system, model, or process
