21. A team of data professionals discusses the potential of their personal backgrounds and beliefs affecting their data findings. They establish processes to ensure that they interpret and communicate sensitive information impartially. What does this scenario describe?
- Avoiding subtle biases in data work
- Protecting customer or user privacy
- Preventing data security breaches
- Generating data from communication
22. Which of the following are examples of technical data professional roles? Select all that apply.
- Statisticians
- Expert data analysts
- Machine learning engineers
- Business intelligence professionals
23. What is the term for data that can be used to determine an individual’s identity, either by direct or indirect means?
- Personal data map
- Personally identifiable information
- Digital identifier
- Identity analytics
24. Fill in the blank: A good _____ is a segment of a population that is representative of the entire population.
- observation
- cluster
- sample
- variety
25. A data professional considers ways that their personal beliefs may inadvertently affect their work. They establish processes to ensure they collect and communicate sensitive information impartially. What does this scenario describe?
- Establishing data security procedures
- Avoiding subtle biases in data work
- Generating data from communication
- Protecting customer or user privacy