What does QualityStage investigation helps you do?
A. Gain a better understanding of the quality of the data.
B. Identify problem areas, such as blanks, errors, or formatting issues.
C. Learn enough about the data to help you establish business rules at the data level.
D. All of the above.
Which of the following is TRUE regarding the use of Survive Rules?
A. Survive Rules contains one or more targets.
B. If any survive rule could not select a record, the firstrecord is selected as the best record.
C. If any survive rule could not select a record, the last record is selected as the best record.
D. All of the above.
What will a QualityStage match job do?
A. Gain complete understanding of data within context.
B. Construct consolidated household views of individuals.
C. Enforce business standards on data elements.
D. Create cross reference keys.
Which of the following isWeight Override used to add or replace?
A. Agreement weight
B. Disagreement weight
C. Calculated weight
D. All of the above.
Which of the following is NOT a Match Stage comparison method?
A. UNCERT
B. FREQUENCY
C. NAME_UNCERT
D. CNT_DIFF
What does the QualityStage Standardization Rule Set contain?
A. Information on how to perform calculation with the data.
B. Logic for parsing, classifying, and pattern processing the data.
C. Rulesfor eliminating columns of data.
D. Rules on which records to keep.
Which one of the following is NOT a necessary step in QualityStage to address data quality issues?
A. Survive
B. Investigate
C. Transform
D. Standardize
If data value AEJPA 5342G is investigated using an all-C mask, what would the result look like?
A. AEJPA G
B. CCCCBCCCCC
C. AEJPA 5342G
D. AEJPA XXXXG
Which of the following is NOT true regarding theuse of Match Type?
A. Reference Match has many-to-one correspondence.
B. Reference Match has one-to-one correspondence.
C. Unduplicate Match requires two source files.
D. All of the above.
A QualityStage investigate job will NOT ________________
A. group records together that are considered duplicates.
B. discover trends and anomalies.
C. identify invalid and default values.
D. examine single domain and free-form text fields.
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