asdf10 – College Essay

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All of the following are ways to consolidate data EXCEPT:__
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data rollup and integration.
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Data governance can be defined as:
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high-level organizational groups and processes that oversee data stewardship.
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One characteristic of quality data which pertains to the expectation for the time between when data are expected and when they are available for use is:
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timeliness
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Converting data from the format of its source to the format of its destination is called:
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data transformation.
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External data sources present problems for data quality because:
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there is a lack of control over data quality.
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Conformance means that:
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data are stored, exchanged or presented in a format that is specified by its metadata.
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Including data capture controls (i.e., dropdown lists) helps reduce ________ deteriorated data problems.
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data entry
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The process of combining data from various sources into a single table or view is called:
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joining
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Informational and operational data differ in all of the following ways EXCEPT:
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level of detail.
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A technique using artificial intelligence to upgrade the quality of raw data is called:
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data scrubbing
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TQM stands for:
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Total Quality Management.
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Quality data can be defined as being:
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unique
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Data quality is important for all of the following reasons EXCEPT:
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it provides a stream of profit.
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A technique using pattern recognition to upgrade the quality of raw data is called:
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data scrubbing.
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The process of transforming data from a detailed to a summary level is called:
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aggregating
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All of the following are tasks of data cleansing EXCEPT:
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creating foreign keys.
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Data that are accurate, consistent, and available in a timely fashion are considered:
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high-quality.
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A characteristic of reconciled data that means the data reflect an enterprise-wide view is:
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comprehensive
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The major advantage of data propagation is
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real-time cascading of data changes throughout the organization.
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User interaction integration is achieved by creating fewer ________ that feed different systems.
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user interfaces
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Event-driven propagation:
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pushes data to duplicate sites as an event occurs.
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In the ________ approach, one consolidated record is maintained from which all applications draw data.
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persistent
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________ duplicates data across databases.
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Data propagation
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One way to improve the data capture process is to:
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check entered data immediately for quality against data in the database
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Which of the following are key steps in a data quality program?
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Apply TQM principles and practices.
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The methods to ensure the quality of data across various subject areas are called:
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Master Data Management.
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Datatype conflicts is an example of a(n) ________ reason for deteriorated data quality.
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external data source.
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hich type of index is commonly used in data warehousing environments?
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Bit-mapped index
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Data quality problems can cascade when:
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data are copied from legacy systems.
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In the ________ approach, one consolidated record is maintained, and all applications draw on that one actual "golden" record.
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persistent
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Data federation is a technique which:
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provides a virtual view of integrated data without actually creating one centralized database.
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One simple task of a data quality audit is to:
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statistically profile all files.
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A method of capturing only the changes that have occurred in the source data since the last capture is called ________ extract.
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incremental
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Which of the following is a basic method for single field transformation?
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Table lookup
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Loading data into a data warehouse does NOT involve:
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formatting the hard drive.
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Getting poor data from a supplier is a(n) ________ reason for deteriorated data quality.
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external data source.
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All of the following are popular architectures for Master Data Management EXCEPT:
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Normalization
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Data quality ROI stands for:
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risk of incarceration.
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The best place to improve data entry across all applications is:
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in the database definitions.
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An approach to filling a data warehouse that employs bulk rewriting of the target data periodically is called:
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refresh mode.
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