Data Governance in Cloud Computing Questions and Answers for Viva

Answer-1: Encryption ensures data confidentiality and integrity, a key requirement for secure data governance.

Answer-2: Azure Purview, AWS Lake Formation, Google Cloud Data Catalog, Collibra, Alation.

Answer-3: Policy enforcement ensures that all data-related activities adhere to predefined governance standards.

Answer-4: Giving users the minimum level of access required to perform their tasks, enhancing data security.

Answer-5: It enforces standards and validations that maintain consistency, accuracy, and completeness of data.

Answer-6: Data governance defines the strategy and rules, while data management executes and enforces those rules.

Answer-7: The process of organizing data into categories based on sensitivity, usage, and importance.

Answer-8: It provides a trail of data access and usage for compliance and security monitoring.

Answer-9: Automation reduces manual errors and enforces governance policies consistently and at scale.

Answer-10: AI/ML can help detect anomalies, classify data, and automate policy enforcement.

Answer-11: Rules that define how long data should be stored and when it should be archived or deleted.

Answer-12: Managing data through its creation, storage, usage, archival, and deletion stages.

Answer-13: It requires re-evaluation and enforcement of governance policies in the new environment.

Answer-14: Shadow IT is the use of unauthorized systems which complicates data control and compliance.

Answer-15: It introduces complexity in policy enforcement, consistency, and visibility across platforms.

Answer-16: RBAC is a method of restricting access to data based on the user's role in an organization.

Answer-17: Clear data ownership ensures accountability and responsibility for data quality and usage.

Answer-18: To establish governance policies, resolve conflicts, and guide data strategy.

Answer-19: It helps organize, secure, and manage the vast unstructured data stored in data lakes.

Answer-20: The use of code to define and enforce compliance policies automatically.

Answer-21: Unauthorized access, data breaches, loss of data control, and non-compliance.

Answer-22: A technique that hides sensitive data in real-time to unauthorized users without altering the actual data.

Answer-23: It requires organizations to manage data with user consent, privacy, and transparency.

Answer-24: Cloud governance requires additional controls for shared responsibility and remote infrastructure.

Answer-25: Tagging helps categorize and track data resources for accountability and cost management.

Answer-26: A Service Level Agreement defines the level of service, data availability, and compliance guarantees.

Answer-27: It tracks changes in datasets or metadata and ensures historical accuracy.

Answer-28: The process of removing personally identifiable information from data to protect privacy.

Answer-29: By tracking metrics like data quality scores, compliance rate, and user adoption.

Answer-30: An incident where unauthorized individuals gain access to confidential or sensitive data.

Answer-31: It defines the division of security and governance responsibilities between the cloud provider and the customer.

Answer-32: By integrating with APIs, using cloud access security brokers (CASBs), and IAM solutions.

Answer-33: Ensuring data is used responsibly, fairly, and in ways that do not harm individuals or groups.

Answer-34: They define data requirements, enforce policies, and ensure data supports business goals.

Answer-35: To ensure employees understand governance policies and comply with data handling procedures.

Answer-36: By scaling policies, automating processes, and aligning governance with business expansion.

Answer-37: Data governance in cloud computing refers to the overall management of data availability, usability, integrity, and security in a cloud environment.

Answer-38: It ensures data privacy, regulatory compliance, and proper data lifecycle management across cloud environments.

Answer-39: Data quality, data stewardship, data policies, metadata management, compliance, and data security.

Answer-40: A data steward is responsible for managing and enforcing data governance policies and maintaining data quality.

Answer-41: Data residency, jurisdictional laws, decentralized data storage, and limited control over physical infrastructure.

Answer-42: It refers to the tracking of data origin, movement, and transformation across systems to ensure traceability.

Answer-43: Managing data about data, including data definitions, formats, ownership, and lineage, critical for governance.

Answer-44: By enforcing policies that align with regulations like GDPR, HIPAA, and CCPA.

Answer-45: Data residency refers to the physical or geographic location where data is stored, which may have legal implications.

Answer-46: Data sovereignty is the concept that data is subject to the laws and governance structures of the country in which it is located.

Answer-47: By offering tools for data classification, encryption, access control, and auditing.

Answer-48: A structured set of policies, processes, roles, responsibilities, and metrics to ensure effective data management.

Answer-49: Through identity and access management (IAM) tools, roles, and permissions.

Answer-50: A data catalog is an organized inventory of data assets with metadata, making it easier to manage and govern.