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WGU Practical Applications of Prompt QFO1 Sample Questions:

1. A person wants to use AI to make a technical document easier to comprehend. Which prompt engineering solution is most effective to achieve this goal?

A) Give a list of appropriate words with the phrase "using these words"
B) Ask the model to create another version with "read and summarize"
C) Correctly instruct the model with the keywords "translating" and "document"
D) Include reading-level limitations with "at a tenth-grade reading level"

2. Which task can be accomplished with the data cleaning capabilities of generative AI?

A) Identifying underlying bias
B) Identifying inaccuracies
C) Drawing valid conclusions
D) Reducing total volume

3. What is one example of a task in which natural language processing (NLP) algorithms are employed?

A) Numerical data cleaning
B) Interpreting raw values
C) Increasing raw data precision
D) Textual data cleaning

4. A lawyer needs to interact with a database to search for cases relating to college admissions. What is a benefit of writing effective prompts when interacting with the database?

A) Prevention of sifting through irrelevant results
B) Greater capacity for unstructured data storage
C) Data modification for improved applicability
D) Automatic expansion to include more data

5. A company is developing a customer service chatbot and wants the response to be limited to a specific number of characters because the chatbot is meant to operate through text. What is the focus of this scenario?

A) Tone
B) Output format
C) Verbosity
D) Constraints

Solutions: