Data Lifecycle Management in Cloud Questions and Answers for Viva

Answer-1: DLM is a policy-based approach to managing data from creation to deletion in a cloud environment, ensuring efficiency, compliance, and cost control.

Answer-2: Creation, Storage, Usage, Sharing, Archival, and Deletion.

Answer-3: DLM helps reduce costs, ensure compliance, manage storage efficiently, and protect data through its lifecycle.

Answer-4: AWS tools include S3 Lifecycle Policies, AWS Backup, and Amazon Data Lifecycle Manager for EBS snapshots.

Answer-5: A set of guidelines that define how long data is stored and when it should be deleted or archived.

Answer-6: It reduces storage costs while keeping data available for long-term access or compliance.

Answer-7: It helps in applying different lifecycle policies based on data sensitivity, importance, or usage.

Answer-8: Versioning keeps multiple versions of an object in cloud storage to prevent accidental deletion or overwrites.

Answer-9: It is the practice of moving data between different storage classes based on its usage to optimize performance and cost.

Answer-10: Amazon S3 Intelligent-Tiering, Azure Blob Storage lifecycle policies, Google Cloud Storage Classes.

Answer-11: A policy that allows you to automatically transition or delete objects in S3 based on their age.

Answer-12: Using Azure Backup policies that define retention range, backup frequency, and data deletion.

Answer-13: Hot is for frequently accessed data, Cool for infrequent access, and Archive for long-term storage with infrequent access.

Answer-14: It enforces strict rules on data retention, deletion, and user rights, impacting DLM strategies.

Answer-15: The concept that data is subject to the laws and governance of the country where it is stored.

Answer-16: Encryption ensures data security during storage and transit, an essential step during all lifecycle phases.

Answer-17: Metadata provides context about data, enabling automated classification and lifecycle actions.

Answer-18: It depends on the backup and versioning strategy. Without backups/versioning, permanent deletion may be irreversible.

Answer-19: They define how long data must be retained, where it should be stored, and how it must be protected.

Answer-20: A backup that cannot be altered or deleted for a defined retention period, important for regulatory compliance.

Answer-21: A tool to automate EBS volume snapshot management using policies for creation and retention.

Answer-22: Rules that define when snapshots are created and how long they are retained before being deleted.

Answer-23: To track data access and modifications, enabling auditing and ensuring policy enforcement.

Answer-24: Tags can identify data purpose, owner, and sensitivity, helping to automate lifecycle actions.

Answer-25: A plan to move less frequently accessed data to low-cost storage while maintaining compliance and accessibility.

Answer-26: It provides low-cost archival storage for long-term retention with slower retrieval times.

Answer-27: Backup is for disaster recovery; archiving is for long-term storage of infrequently accessed data.

Answer-28: Automation ensures consistency, reduces manual errors, and enforces policies efficiently.

Answer-29: A feature to automate data movement between access tiers and manage data deletion based on rules.

Answer-30: It offers object lifecycle management for Cloud Storage to automate transition and deletion of objects.

Answer-31: It increases storage costs and complexity. Deduplication strategies can help optimize storage.

Answer-32: Soft delete temporarily hides or moves data to a recycle bin, while hard delete permanently removes it.

Answer-33: The process of categorizing data based on how old it is to determine its placement in the lifecycle.

Answer-34: AI can analyze data usage patterns to automate tiering, retention, and policy enforcement.

Answer-35: Risks include non-compliance, increased storage costs, data loss, and security breaches.

Answer-36: It requires managing data across on-premises and cloud platforms, increasing complexity.

Answer-37: Audit trails record data access and changes, essential for compliance and security reviews.

Answer-38: A process where data is automatically deleted after a predefined time based on policy.

Answer-39: ISO 27001, HIPAA, GDPR, SOC 2, FedRAMP.

Answer-40: Use centralized tools or third-party DLM solutions that support multiple providers.

Answer-41: Challenges include managing data sprawl, ensuring compliance, integrating tools, and controlling costs.

Answer-42: A set of rules applied to S3 buckets to automate object transitions and deletions.

Answer-43: Cold data is rarely accessed, warm data is occasionally accessed. DLM helps store them cost-effectively.

Answer-44: Ensures critical data is backed up, retained, and recoverable when needed.

Answer-45: The responsibility of managing data throughout its lifecycle, including security, privacy, and compliance.

Answer-46: Yes, by organizing and retaining data properly, it simplifies data retrieval for legal and compliance purposes.

Answer-47: A timetable that defines how long data should be kept before archival or deletion.

Answer-48: Regularly?at least annually?or whenever there are regulatory or business changes.

Answer-49: Optimized storage usage, fewer unnecessary backups, and automated transitions to lower-cost tiers.

Answer-50: Increased automation, AI-driven policy management, cross-cloud integration, and stricter compliance enforcement.