MC Which statement is NOT CORRECT? Subjectivity can cause data quality issues. incorrect Data quality can always be measured objectively. correct All aspects of data quality need to be checked regularly, as every change in the database or even the company can lead to unforeseen issues. incorrect Consistency issues can arise due to sharing data across multiple departments. incorrect MC Which statement is NOT CORRECT? Data quality can always be measured objectively. correct Subjectivity can cause data quality issues. incorrect Consistency issues can arise due to sharing data across multiple departments. incorrect All aspects of data quality need to be checked regularly, as every change in the database or even the company can lead to unforeseen issues. incorrect MC Which statement is NOT CORRECT? Data quality can always be measured objectively. correct All aspects of data quality need to be checked regularly, as every change in the database or even the company can lead to unforeseen issues. incorrect Consistency issues can arise due to sharing data across multiple departments. incorrect Subjectivity can cause data quality issues. incorrect MC Which statement is NOT CORRECT? The DQ dimension 'Accessibility' often implies a tradeoff between more security measures and easily accessible. incorrect Consistency issues can arise due to sharing data across multiple departments. incorrect Backup and recovery management is the task of the database designer. correct The DBA will implement and monitor the database. incorrect MC Which statement is NOT CORRECT? Consistency issues can arise due to sharing data across multiple departments. incorrect Subjectivity can cause data quality issues. incorrect All aspects of data quality need to be checked regularly, as every change in the database or even the company can lead to unforeseen issues. incorrect Data quality can always be measured objectively. correct MC Which statement is NOT CORRECT? The data steward should ensure the quality of current business data and metadata. incorrect In a data quality context, 'Fitness for use' implies that the data should be of perfect quality in all decision contexts. correct The four categories in which DQ dimensions can be grouped according to Wang et al. (1996) are: intrinsic, contextual, representation and access. incorrect Subjectivity can cause data quality issues. incorrect MC Is the following statement true or false? "Accuracy of a database depends on its representational and contextual characteristics." True correct False incorrect MC Is the following statement true or false? "Accuracy of a database depends on its representational and contextual characteristics." True correct False incorrect MC Which statement is CORRECT? Ideally, data governance should be set-up as a company-wide controlled and supported approach. correct The data owner is always the original producer of the data. incorrect We can distinguish only two perspectives in the completeness dimension: schema completeness and population completeness. incorrect The catalog is typically not part of the DBMS. incorrect MC Is the following statement true or false? "Accuracy of a database depends on its representational and contextual characteristics." True correct False incorrect