DQ

DQ practice questions, page 3 of 4, with answer review and explanations.

Question 11

An organisation has decided to treat all data as equally important. They argue this will lift the quality of the data across the enterprise. Your response should be:

  1. That is something we need to check with the data governance committee to make sure they understand what we are doing
  2. That is a normal data management practice - well done!
  3. That is likely to embarrass your customers as their data will not be as good as yours
  4. That is a fantastically simple approach that will be easy to communicate
  5. This is likely to waste resources on improving data quality that has no impact on the business

Question 12

The census data for a country is NOT fit for purpose for:

  1. Town congestion forecasting
  2. Transport planning
  3. Road network planning
  4. School location planning
  5. Dam water level management and planning

Question 13

In terms of data quality, what is completeness?

  1. Certain attributes will always have the same value in a data set
  2. The degree to which the data and information is the same as the real world it models
  3. It defines whether the data has been updated recently.
  4. Whether all the required data values are present
  5. Data values in one data set are consistent with values in another data set

Question 14

You are making a case to purchase a data profiling tool for your organization to use. Explain how this tool could be used not just for research - but for ensuring ongoing quality of the organization's data.

  1. Data profiling tools analyse data to find potential anomalies
  2. A data profiling tool can execute on a periodic basis to apply a rule to a data set and report on if it meets the acceptability criteria
  3. Running a data profiling tool on a regular basis will satisfy audits that data is being managed
  4. Data profiling tools can be used to estimate the slope of the hill upon which the office is built
  5. Data profiling tools reveal data anomalies that can be used to manage data conversion projects

Question 15

A data quality strategy document that talks to an audience of data quality professionals may result in:

  1. Better user testing plans
  2. Strong alignment with the business strategy
  3. Disengagement of stakeholders outside of the data quality team
  4. Extraordinary execution of the strategy because of the clear instructions
  5. Broader agreement across a large number of stakeholders