Data Archiving Solutions in Cloud Questions and Answers for Viva

Answer-1: It provides higher durability and disaster recovery by storing copies in different locations.

Answer-2: They secure data at rest and in transit, controlled by the customer or provider.

Answer-3: They move or delete data based on age or access frequency automatically.

Answer-4: Analyzing archived data without moving it back to active storage using specialized tools.

Answer-5: By using expedited retrieval options or hybrid storage solutions.

Answer-6: Deep archive offers lower costs with longer retrieval times than standard archive.

Answer-7: By freezing data so it cannot be deleted until the hold is lifted.

Answer-8: AI-based data management, improved retrieval speeds, and enhanced security features.

Answer-9: Data archiving in the cloud is the process of moving inactive or infrequently accessed data to low-cost, long-term cloud storage.

Answer-10: It helps reduce storage costs, improves system performance, and ensures compliance with data retention policies.

Answer-11: Amazon S3 Glacier, Azure Blob Archive Storage, and Google Cloud Archive Storage.

Answer-12: Cloud archiving offers scalability, pay-as-you-go pricing, and easier accessibility compared to on-premises.

Answer-13: Old emails, logs, compliance records, backups, and historical business data.

Answer-14: A low-cost, secure, durable cloud storage service for data archiving and long-term backup.

Answer-15: Retrieval times can range from minutes to hours, depending on the retrieval option chosen.

Answer-16: Azure's low-cost storage tier optimized for long-term retention of rarely accessed data.

Answer-17: Cost savings, scalability, durability, security, and easy compliance.

Answer-18: Automating data movement from active storage to archival based on predefined policies.

Answer-19: By securely storing data for required retention periods and ensuring data integrity.

Answer-20: Cost, retrieval times, durability, security features, and integration capabilities.

Answer-21: Backup is for data recovery after loss, while archiving is for long-term storage of inactive data.

Answer-22: It depends on the storage service; some offer write-once-read-many (WORM) compliance.

Answer-23: The delay between requesting archived data and accessing it.

Answer-24: By using encryption at rest and in transit, access controls, and auditing.

Answer-25: A feature that prevents archived data from being altered or deleted within a retention period.

Answer-26: It reduces storage space and cost by minimizing data size.

Answer-27: Metadata helps in indexing, searching, and managing archived data efficiently.

Answer-28: AWS S3 Lifecycle policies, Azure Blob Lifecycle Management, Google Cloud Storage lifecycle rules.

Answer-29: Storage costs, data retrieval fees, and data transfer charges.

Answer-30: Through checksums, data verification, and periodic audits.

Answer-31: A storage class optimized for data that is infrequently accessed and has longer retrieval times.

Answer-32: Data is moved between hot, cool, and archive tiers based on access frequency.

Answer-33: Retention periods vary widely, from months to several years, based on compliance needs.

Answer-34: Cool is for infrequently accessed data with faster access, Archive is for rarely accessed data with higher retrieval latency.

Answer-35: WORM (Write Once Read Many) storage prevents data from being overwritten or deleted to meet compliance requirements.

Answer-36: Managing retrieval times, controlling costs, and ensuring data security and compliance.

Answer-37: Archived data can be restored in case of data loss or corruption.

Answer-38: A technique to eliminate duplicate copies of repeating data to save storage space.

Answer-39: Through identity and access management (IAM) policies and encryption keys.

Answer-40: Hot data is actively used, while cold data is infrequently accessed and moved to archive.

Answer-41: A set of rules that defines how long data must be kept and when it can be deleted.

Answer-42: By replicating data across multiple geographically dispersed data centers.

Answer-43: It defines availability, durability, and performance guarantees by the provider.

Answer-44: Cloud provider consoles, third-party management tools, and automation scripts.

Answer-45: Using cloud provider dashboards and cost management tools.

Answer-46: Rules that define how and when archived data can be accessed or restored.

Answer-47: Using bulk data transfer tools like AWS Snowball, Azure Data Box, or Google Transfer Appliance.

Answer-48: Object storage is scalable and metadata-rich; file storage offers hierarchical organization.

Answer-49: Through encryption, access control, audit logs, and data residency options.

Answer-50: Reduced on-premises hardware and energy use, leveraging efficient cloud data centers.