DQ

DQ practice questions, page 4 of 4, with answer review and explanations.

Question 16

Which of the following is the MOST effective trigger for sustainable change?

  1. The mobilisation of a data governance team
  2. A high level of dissatisfaction with status quo, coupled with a vision of how things can improve and some tangible first steps
  3. A high level of customer complaints
  4. A briefing by memo from the CEO outlining the need for things to change
  5. A clear legal requirement to make the change

Question 17

Which of the following is not a goal of Data Quality?

  1. Implement process to measure, monitor and report on data quality
  2. The delivery of a data quality strategy and framework
  3. Define standards, requirements and specifications for data quality controls
  4. Develop a governed approach to make data fit for purpose
  5. Advocate for opportunities to improved the quality of data

Question 18

A new incident management system enables data quality issues to be reported by any user. The purpose of this function is likely to be:

  1. To encourage data issue reporting by all users
  2. To discourage data issue reporting by all users
  3. Demonstrate IT software development capabilities across multiple channels
  4. Identifying and singling out poor data collection practices
  5. To frustrate users about the state of their data

Question 19

A data quality dimension is a:

  1. Is a particular way of modelling data marts
  2. Is limited to structured data
  3. A repository of measures of data quality
  4. Measureable feature or characteristic of data
  5. Any feature or characteristic of data

Question 20

The data governance board has asked you to explain to them the benefit of data standardization. Select the best example of data standardization.

  1. All data quality issues are classified by five common categories
  2. A standard set of reports based on acceptability parameters that are reviewed by data standards
  3. Customer satisfaction scores are graded into 2 categories - those below the acceptability level and those equal to or higher
  4. Temperatures are converted to percentages above and below the average temperature for that day
  5. Customer addresses are conformed to a common format - with common street suffixes, post code and apartment numbers