13) Data Quality Flashcards

1
Q

Effective data management involves a set of complex, interrelated processes that enable an organization to use its data to achieve strategic goals.
P 449

1) True
2) False

A

1 true

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2
Q

Q2 Deliverables in data quality context diagram include:
P 451

MULTI SELECT

1 DQM Procedures
2 Data architecture
3 Data governance
4 DQ Policies and guidelines
5 Analyses from data profiling
6 Data quality Service Level Agreements

A

1,4,5,6

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3
Q

Q3The term data quality refers to only the characteristics associated with high quality data.
P453

1) True
2) False

A

2 false

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4
Q

Q4 Data can be assessed based on whether is is required by:
P 454

MULTI SELECT
1 Regulatory reporting
2 Capturing policy
3 Ongoing operations
4 Provide the starting point for customizations, integration or even replacement of an application
5 business policy
6 Make the integrations between data management and data analytics possible

A

1,3,5

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5
Q

Q5 Please select the incorrect item that does not represent a dimension in the data values category in Data Quality for the information age.
p455-456

MULTIPLE CHOICE
1 currency
2 timeliness
3 consistency
4 completeness

A

2

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6
Q

Q6 The accuracy dimension of data quality refers to the degree that data correctly represents ‘real-life’ entities
P 458

MULTIPLE CHOICE
1 True
2 Fals

A

1 true

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7
Q

Q7 What ISO standard defines characteristics that can be tested by any organization in the data supply chain to objectively determine conformance of the data to this ISO standard.
P 461

MULTIPLE CHOICE
1 ISO 9000
2 ISO 7000
3 ISO 8000
4 ISO 9001

A

3 ISO 8000

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8
Q

Q8The accuracy dimension has to do with the precision of data values.
P460

1) True
2) False

A

1 true

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9
Q

Q9 Data Integrity includes ideas associated with completeness, accuracy, and consistency.
P 459

1) True
2) False

A

1 true

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10
Q

Q10 Validity, as a dimension of data quality, refers to whether data values are consistent with a defined domain of values.
P 459

1) True
2) False

A

1 True

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11
Q

Q11 Dimensions of data quality include:
P460

MULTI SELECT
1 Validity
2 Privacy
3 Innovation
4 accessibility
5 currency
6 all of the above

A

1,2,4,5

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12
Q

ISO 8000 will describe the structure and the organization of data quality management, including:
P 462

MULTI SELECT
1 Data quality availability
2 data quality planning
3 data quality control
4 data quality assurance
5 data quality improvement

A

2,3,4,5

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13
Q

Some common data quality business rule types are:
P 464

MULTI SELECT
1 Definitional conformance
2 Format compliance
3 range conformance
4 mapping conformance

A

1,2,3,4

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14
Q

The Shewhart chart contains the following elements:
P 463
Multi select
1 Plan
2 Utilization
3 Do
4 Check
5 Act
6 All of the above

A

1,3,4,5

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15
Q

Issues caused by data entry processes include:
p 466-467

Multi select
1 Training issues
2 list entry replacement
3 software issues
4 soft state issues
5 change to business processes
6 inconsistent business process execution

A

1,2,5,6

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16
Q

Data quality issues only emerge at the initial stages of the data lifecycle.
P 465

1 True
2 False

A

2 false

17
Q

Field overloading: Unnecessary data duplication is often the result of poor data management.
P469

1 True
2 False

A

2 False

18
Q

Data profiling examples include:
P 470

MULTI SELECT
1 counts of null
2 Max/Min value
3 Max/Min length
4 Frequency distribution
5 Data type and format
6 None of the above

A

1,2,3,4,5

19
Q

Data profiling also includes cross-column analysis, which can identify overlapping or duplicate columns and expose embedded value dependencies.
Pp470

1 True
2 False

A

1 True

20
Q

While the focus of data quality improvement efforts is often on the prevention of errors, data quality can also be improved through some forms of data processing.
P 470

1 True
2 False

A

1 True