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+ (M

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