Data or Business Glossary — Learn free

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Questions 1–10 of 10

1. What risk does a Data Glossary help to mitigate?
Question 1A. Creating a potential Data SwampB. Slow network throughputC. Database index fragmentationD. Password leakageE. Hardware failure
2. Under which umbrella discipline do the Data Glossary and Data Dictionary fall?
Question 2A. Master Data ManagementB. Metadata ManagementC. Data Quality ManagementD. Security ModellingE. Business Intelligence
3. What does a Data Glossary contain?
Question 3A. Field data types and lengthsB. Database indexes and primary keysC. Business terms that provide meaning and contextD. Row counts for each tableE. Server configuration settings
4. How is a Data Dictionary described in contrast to a Data Glossary?
Question 4A. As a collection of business terms in non-technical languageB. As a list of dashboards owned by each departmentC. As a set of data science modelsD. As a repository housing names, definitions and attributes of data elementsE. As a backup catalogue of database objects
5. Which of the following can a comprehensive Data Glossary refer to?
Question 5A. Only physical tablesB. Only business reportsC. Only spreadsheetsD. Only data science modelsE. Tables, schemas, databases, reports, dashboards and data science models
6. What proportion of redundant objects can consulting a Data Glossary reduce?
Question 6A. Up to 10%B. Up to 25%C. Up to 50%D. Up to 80%E. Up to 100%
7. How does a Data Glossary reduce redundancy?
Question 7A. By deleting duplicate rows automaticallyB. By letting users check whether an equivalent object already exists before creating a new oneC. By compressing tablesD. By merging all dashboards into oneE. By enforcing primary keys
8. Who normally interacts with a Data Glossary?
Question 8A. Business usersB. Database administrators onlyC. Network engineersD. Security architects onlyE. Hardware vendors
9. In the example glossary terms region, sales, quantity, brand and year, what would an analyst quickly conclude about the table?
Question 9A. That it holds employee payroll dataB. That it holds server log dataC. That it relates to sales data with quantities by brand at a regional levelD. That it is a security audit tableE. That it stores customer complaints
10. What does combining a Data Glossary with a Data Dictionary achieve?
Question 10A. It replaces the need for a databaseB. It eliminates all business termsC. It converts the glossary into a security policyD. It makes the glossary an integral part of metadata managementE. It doubles the storage requirement