Data Ownership vsData Governance — Learn free

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Questions 1–10 of 10

1. Which statement best describes data ownership?
Question 1A. A broad framework ensuring data quality, availability, usability and security across an organisationB. The concept that defines the rights and responsibilities associated with data, specifying who has control over itC. The technical process of backing up databasesD. The cross-functional assignment of stewardship rolesE. A set of standards for how data is stored in the cloud
2. Data ownership is described as focusing on which aspect of data control?
Question 2A. The 'how' aspect: the processes used to manage dataB. The 'when' aspect: retention periods for dataC. The 'who' aspect: determining who has the ultimate say over the dataD. The 'where' aspect: physical storage locationE. The 'why' aspect: business justification for collecting data
3. Which of the following is a responsibility of a data owner?
Question 3A. Being accountable for ensuring data is handled in compliance with laws, regulations and internal policiesB. Writing the organisation-wide data governance frameworkC. Assigning stewardship roles across every departmentD. Defining the enterprise data lifecycle for all datasetsE. Compressing data to reduce storage costs
4. Which statement best describes data governance?
Question 4A. The right of one individual to decide who may access a datasetB. A method of encrypting data at restC. A broader framework and set of practices ensuring high data quality, availability, usability and security across the organisationD. The archiving of historical records for legal reasonsE. The role of a single business unit that controls a dataset
5. Which of the following is NOT listed as something data governance encompasses?
Question 5A. Data qualityB. Data stewardshipC. Data managementD. ComplianceE. Individual authority to override all organisational policies
6. In terms of scope, how do data ownership and data governance differ?
Question 6A. Data ownership addresses the organisation-wide framework; data governance addresses individual accountabilityB. Data ownership focuses on individual accountability and decision-making authority; data governance addresses the broader framework and processes across the organisationC. Both have identical scope and are interchangeable termsD. Data ownership covers only technical systems; data governance covers only legal mattersE. Data governance is limited to a single dataset; data ownership spans all datasets
7. How do data ownership and data governance differ in terms of responsibilities?
Question 7A. Ownership deals with specific individuals or units responsible for particular datasets; governance takes a cross-functional approach assigning responsibilities to various rolesB. Ownership is cross-functional; governance is limited to one personC. Both assign responsibility exclusively to the IT departmentD. Neither assigns any responsibilitiesE. Ownership assigns responsibility to external regulators; governance to internal staff
8. What is the focus of data governance compared with data ownership?
Question 8A. Governance emphasises control and decision rights; ownership emphasises qualityB. Governance emphasises storage cost; ownership emphasises speedC. Both emphasise decision rights onlyD. Governance emphasises overall management, quality and compliance of data; ownership emphasises control and decision rights over dataE. Governance emphasises hardware; ownership emphasises software
9. What is the relationship between data ownership and data governance?
Question 9A. They are unrelated concepts from different disciplinesB. Data governance is a component of data ownershipC. Data ownership is a component of data governance, which is the more comprehensive approachD. Data ownership replaces data governance in modern organisationsE. They are exact synonyms
10. The head of a sales department is designated as the person with authority to decide how the customer contact dataset is collected, stored, accessed and used. Which concept does this illustrate?
Question 10A. Data governanceB. Data ownershipC. Data archivingD. Data compressionE. Data integration