WGU D685 Practical Applications of Prompt (XMO1) 1st Attempt

1. Which feature of a social media platform is appropriate for an AI system?

A.  Recognizing landmarks in images  ✓

B.  Evaluating posts ethically

C.  Interpreting cultural nuances

D.  Backing up user profile data

2. Which major challenge has been an issue for AI systems?

A.  Processing unstructured data  ✓

B.  Hacking ethical reasoning

C.  Generating video content

D.  Analyzing vast amounts of data

3. Which advantage is associated with AI’s real-time data processing?

A.  Continuous performance improvement  ✓

B.  Generation of ideas beyond its training

C.  Greater display of emotional capacity

D.  Better innovative thinking

4. Which programming software task is well-suited for artificial intelligence?

A.  Specifying project structure

B.  Performing user testing

C.  Suggesting code modifications  ✓

D.  Adding comments to scripts

5. A user contacts a company’s customer service chatbot to ask about their order status. The chatbot provides a clear, helpful response. The user then asks the chatbot for advice on which product would work best for their home office setup. The chatbot responds with a generic error message indicating it cannot help with that request. Which statement explains why the user’s interaction with this system is limited to certain types of requests?

A.  The user crafted an unclear prompt for the second request, which prevented the chatbot from interpreting precisely what the user needed.

B.  The chatbot’s natural language processing stopped functioning during the second request because the topic was too complex for the system to interpret.

C.  The chatbot is a narrow AI system designed for specific tasks, which means it can only process requests within the boundaries of its defined purpose.  ✓

D.  The user exceeded the chatbot’s conversation length limit, which caused the system to stop generating responses after the first interaction.

6. A professional with no programming experience opens a generative AI chatbot and types a request in everyday English: “Write a short summary of the key differences between solar and wind energy for a client presentation.” The system produces a clear, organized summary within seconds. Which statement best explains how the professional is able to communicate with the AI system using everyday language rather than programming code?

A.  The AI system chatbot is a narrow system designed specifically for language tasks, which means it was built to handle text-based input from users rather than requiring programming expertise.

B.  The AI system uses deep learning algorithms to improve its performance over time by identifying natural speech patterns in large datasets.

C.  The AI system uses natural language processing, enabling it to interpret and respond to human language, allowing users to interface with large language models through ordinary conversation rather than technical commands.  ✓

D.  The AI system was trained using supervised learning with labeled examples of human language, which helped it learn to associate words and phrases with their meanings.

7. A small business owner wants to use a generative AI system to write a product description. Their first attempt, “Write something about my candies,” produces a generic paragraph that doesn’t match their brand. They revise their input to include their brand voice, target audience, and key product features. The system produces a description that closely matches what they need. Which statement explains how prompt engineering helped the business owner communicate more effectively with the system?

A.  The owner provided feedback on the first output, which trained the system to permanently recognize their brand preferences for future interactions.

B.  The owner crafted specific input that included context and details, enabling the system to interpret their needs and generate relevant output.  ✓

C.  The owner chose a different AI model better suited to marketing tasks, which produced higher quality output than the original system.

D.  The owner selected input from a predetermined menu, which narrowed the system’s output to match their brand guidelines.

8. What is an advantage that comes from generative AI interfaces that are designed well?

A.  They allow users to avoid exposure to misinformation.

B.  They give each user an experience with unique generated outputs.

C.  They allow users to specify the context for generating outputs.  ✓

D.  They filter output that contains errors and bias.

9. Why does the quality of a prompt matter when a human searches for information using search tools, databases, and AI tools like large language models (LLMs)?

A.  A well-crafted prompt increases the likelihood that the system returns relevant results.  ✓

B.  A well-crafted prompt guarantees the system will produce results free from errors or bias.

C.  A well-crafted prompt allows the system to process the request using less time and energy.

D.  A well-crafted prompt enables the system to learn new information from human input.

10. A marketing analyst needs to find data on consumer spending trends in the retail sector during the past year. They have access to three tools: a search engine, a structured database, and a large language model. Which statement best explains why the quality of the analyst’s prompts will determine the usefulness of the results from these tools?

A.  The analyst will get the most comprehensive results by starting with the broadest prompt possible and then narrowing based on what each tool returns.

B.  The prompt structured for one tool may not communicate the same information need effectively to another because each tool processes input differently.  ✓

C.  The analyst should craft prompts that specify the desired output format, since all three tools can adjust how they present information based on formatting instructions.

D.  The analyst should ensure all three prompts contain these parameters because including specific date ranges and industry terms in any prompt helps narrow results.

11. A human enters the prompt “write about science and history and math and art” into a large language model (LLM) and reads the response. Why does focusing the prompt to one specific topic improve the results?

A.  It gives the system clear direction to produce a response relevant to one subject.  ✓

B.  It allows the system to respond faster because it processes less information at one time.

C.  It requires the system to generate a longer and more detailed response for the human.

D.  It prevents the system from including inaccurate information in the generated response.

12. A human asks a large language model (LLM) to return results about renewable energy but receives results in a format that does not match the structure needed for a research project. Which revision to the prompt helps the system return results in the expected format?

A.  The human shortens the prompt to fewer words, so the system processes the request more quickly.

B.  The human includes a sample of the expected format so the system can match that structure.  ✓

C.  The human adds more keywords about renewable energy, so the system expands the scope of results.

D.  The human submits the prompt multiple times, so the system generates different formats each time.

13. Which key prompt component includes details about the history of a troubleshooting issue with a customer service chatbot?

A.  Instructions

B.  Persona

C.  Context  ✓

D.  Input content

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