WGU D685 OBJECTIVE ASSESSMENT 2 NEWEST 2025/ 2026 ACTUAL EXAM| D685 PRACTICAL APPLICATIONS OF PROMPT OA FINAL WITH 200 REAL EXAM QUESTIONS AND CORRECT VERIFIED ANSWERS/ ALREADY GRADED A+ (MOST RECENT!!

WGU D685 OBJECTIVE ASSESSMENT 2
NEWEST 2025/ 2026 ACTUAL EXAM|
D685 PRACTICAL APPLICATIONS OF
PROMPT OA FINAL WITH 200 REAL
EXAM QUESTIONS AND CORRECT
VERIFIED ANSWERS/ ALREADY GRADED
A+ (MOST RECENT!!



Question 1: What is the primary role of Machine Learning in AI?

• A) To store data more efficiently.
• B) To enable computers to learn from data and make predictions without

explicit programming.
• C) To generate new hardware configurations.

• D) To replace all traditional software.

Correct ,,,answer,,,: B. This is the core definition of ML—allowing computers to
learn patterns from data and apply them to new, unseen data.

Question 2: Which type of machine learning uses labeled data (input-output pairs)
to train a model?

• A) Reinforcement Learning
• B) Unsupervised Learning
• C) Supervised Learning
• D) Deep Learning

,Correct ,,,answer,,,: C. Supervised learning is like learning with a teacher, where
the model is shown correct ,,,answer,,,s for each example. Unsupervised learning
(B) uses unlabeled data to find hidden patterns.

Question 3: What is the term for an AI system's tendency to generate confident,
coherent, but factually incorrect statements?

• A) Reinforcement Learning from Human Feedback (RLHF)
• B) Algorithmic Bias

• C) A Hallucination

• D) Zero-shot Learning

Correct ,,,answer,,,: C. A "hallucination" is when an AI generates false
information, often presented as fact. This is a well-known limitation of LLMs.

Question 4: When generating text, a Temperature parameter setting of 0.0 will
typically produce:

• A) Highly creative and unpredictable responses.
• B) Responses that are deterministic, always choosing the most likely next

token.
• C) Random, incoherent text.

• D) Responses limited to a single sentence.

Correct ,,,answer,,,: B. A temperature of 0 makes the model's output predictable
and consistent, always picking the highest-probability word. This makes it great for
factual tasks like summarization but poor for creative ones.

Question 5: A user wants to generate a creative story. Which Temperature value
would be the most appropriate?

• A) 0.0
• B) 0.2
• C) 0.7
• D) 1.5 (if allowed)

,Correct ,,,answer,,,: C. A temperature of 0.7 is often cited as a good balance,
providing creativity while maintaining coherence. Higher temperatures (like 1.5)
can lead to outputs that are too random or nonsensical.

Question 6: What is a Zero-shot prompt?

• A) A prompt with several explicit examples of input-output pairs.
• B) A prompt that instructs the model to explain its reasoning step-by-step.

• C) A prompt that gives the model the ,,,answer,,, and asks it to generate the

question.
• D) A prompt that includes no examples and relies solely on the model's pre-

trained knowledge.
Correct ,,,answer,,,: D. This is the standard way of interacting with an LLM. You
provide a direct instruction without showing it how to perform the task first.

Question 7: What is the key characteristic of a Few-shot prompt?

• A) It asks the model to respond in short, one-word ,,,answer,,,s.
• B) It includes a set of instructions and a single example.

• C) It provides several examples of the desired input-output pattern within the

prompt.
• D) It requires the model to search the internet for the most recent

information.
Correct ,,,answer,,,: C. This technique, using a small number of examples, is a
powerful method for "in-context learning" and guiding the model's output without
fine-tuning it.

Question 8: Which prompting technique asks a model to break down a complex
problem into a series of intermediate steps before giving a final ,,,answer,,,?

• A) One-shot Prompting
• B) Chain-of-Thought (CoT) Prompting
• C) Temperature Scaling

, • D) Negative Prompting
Correct ,,,answer,,,: B. CoT is a method for improving reasoning in LLMs. By
having the model "think step-by-step," it is less likely to make logical errors and is
better at tasks like math or logic puzzles.

Question 9: Which AI tool is specifically designed for text-to-image generation?

• A) ChatGPT
• B) Microsoft Copilot

• C) DALL-E

• D) InVideo

Correct ,,,answer,,,: C. DALL-E (developed by OpenAI) is an AI model that
creates original images from natural language descriptions. While Copilot can
generate images in some forms, DALL-E is the dedicated tool.

Question 10: What is the core innovation of InVideo?

• A) Generating 3D models from text descriptions.
• B) Merging AI-generated visuals with automated video production tools.

• C) Creating realistic voice clones from short audio samples.

• D) Writing and compiling computer code from natural language prompts.

Correct ,,,answer,,,: B. InVideo is an AI-powered video creation platform that
helps users generate professional-looking videos, combining stock footage, text
overlays, and AI voices based on a prompt.

Question 11: Data bias in AI occurs when a dataset is not representative of the real
world. What is Sampling Bias?

• A) When an algorithm disproportionately represents one viewpoint in its
outputs.
• B) When the process of collecting the data systematically excludes or
underrepresents certain groups.
• C) When a model is trained primarily on outdated information.