DMBK3: Data Quality Management (chapter 13)
Quiz by Виктория Инзина
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- Q1
According to the DMBoK, Data Quality Management is the planning, implementation, and control of activities that apply quality management techniques to data, in order to assure it is fit for consumption and meets the needs of data consumers.
truefalseTrue or False120s - Q2
When discussing the Data Quality Management Cycle, what part of the cycle typically deals with: acting to resolve any identified issues to improve Data Quality and better meet business expectations?
Act
Do
Deploy
Proceed
120s - Q3
A Data Quality program should limit its scope to?
The highest-profile program with the best benefits
The data most critical to the enterprise and its customers
All the data stored in the enterprise
The data that changes most often
120s - Q4
The identification of possible out-of-range values or anomalous records is often a typical output of outlier analysis.
truefalseTrue or False120s - Q5
Data Quality can help with many different aspects of data within an organization. What can Data Quality do or achieve?
Drive business accountability for enterprise data
Easily fix all historic Data Quality issues
Be solely responsible for managing data
All of the above
120s - Q6
The Data Quality attribute that most closely matches the description “the difference between when the data is available and needed” is what?
Consistency
Timeliness
Privacy
Validity
120s - Q7
Data Quality measurements can be taken at three levels of granularity. They are?
Fine data, coarse data, and rough data
Historical data, current data, and future dated data
Departmental data, regional data, and enterprise data
Data element value, data instance or record, and data set
120s - Q8
A Business Process Impact of Data Quality will illustrate the effect of poor-quality data on business processes.
truefalseTrue or False120s - Q9
The Data Quality Indicator (DQI) of “Controllability” is often defined as having what characteristic?
Each DQI is monitored over time to track progress
Each DQI measures something of importance to the business
The remedial actions for each DQI are defined
Each DQI can be measured and quantified
120s - Q10
Root Cause Analysis (RCA) is a technique that helps answer the question of WHY the problem occurred in the first place.
truefalseTrue or False120s - Q11
The first step in Root Cause Analysis is?
Define the problem
Consider impacts
Cleanse the data
Collect data
120s - Q12
The 5-Why Approach is an example of basic cause-and-effect analysis. Every investigation, regardless of size, begins with one “why” question.
truefalseTrue or False120s - Q13
What is NOT a common Data Quality mistake?
Failing to consider the intended use of the data
Treating Data Quality Management as a one-time activity
Fixing data in situ vs. at source
All of them are common Data Quality mistakes
120s - Q14
Which of the following is NOT a stage in the Shewhart – Deming Cycle that drives the Data Quality Improvement Lifecycle?
Investigate
Do
Check
Plan
120s - Q15
A Data Quality dimension is?
A core concept in dimensional modeling
A measurable feature or characteristic of data
A valid value in a list
The value of a particular piece of data
120s