Ask Questions to Make Data-Driven Decisions - Module 1 challenge

Ask Questions to Make Data-Driven Decisions - Module 1 challenge

  1. Fill in the blank: When solving the _____ problem type, a data analytics team at a health care provider analyzes patient data from the past five years. They then use this information to understand what led to certain symptoms and what is likely to cause them again.

    • identifying themes

    • discovering connections

    • categorizing things

    • finding patterns

  2. Which of the following statements correctly describe the SMART methodology? Select all that apply.

    • Time-bound questions specify the time to be studied.

    • Specific questions are highly technical and detailed.

    • Measurable questions can be quantified and assessed.

    • SMART stands for specific, measurable, action-oriented, relevant, and time-bound.

  3. A transportation and logistics provider aims to devise new delivery routes. They use an algorithm to monitor current traffic patterns and develop business intelligence about the busiest roads and intersections. Which data problem type does this scenario describe?

    • Discovering connections

    • Categorizing things

    • Spotting something unusual

    • Making predictions

  4. For what reasons would it be unfair for a human resources manager to ask employees, “Why do you love working for our company?” Select all that apply.

    • It is a closed-ended question

    • It is a leading question

    • It is vague

    • It makes assumptions

  5. Fill in the blank: When solving the _____ problem type, a data analyst discovers an established competitor suddenly changing its marketing strategy.

    • identifying themes

    • making predictions

    • discovering connections

    • spotting something unusual

  6. A data professional sorts manufacturing production data by facility. Then, they group that information into broader concepts, such as the type of machine involved and materials used. Which data problem type does this scenario describe?

    • Making predictions

    • Finding patterns

    • Identifying themes

    • Discovering connections

  7. Which of the following questions are open-ended? Select all that apply.

    • In what year did you begin using a computer?

    • On a scale of 1-5 (with 5 being most valuable), how valuable is having a mentor?

    • What advice would you give someone just entering the job market?

    • How would you describe this television show?

  8. The supplier of a key component of a variety of products has a quality control issue. This causes problems for both the supplier and the manufacturing companies that use the component in their products. All of the affected businesses discuss the issues they face and share data openly, ultimately discovering they have many similar challenges. What data problem type are they solving?

    • Making predictions

    • Categorizing things

    • Identifying themes

    • Discovering connections

  9. Fill in the blank: The question, “How can we create a more innovative culture by empowering our employees to take risks?” is _____ because it encourages change.

    • specific

    • action-oriented

    • relevant

    • measurable

  10. A data analyst working for a health care provider is asked to determine which clinics are most efficient and which are least efficient. They review performance data, then group the clinics accordingly. Which data problem type does this scenario describe?

    • Finding patterns

    • Spotting something unusual

    • Discovering connections

    • Categorizing things