Commvault employs various strategies such as incremental backups and offsite replication to ensure data recovery in disaster scenarios.

Organizations may face challenges such as complexity in identifying sensitive data, ensuring consistent policies across systems, and managing the performance impact when implementing data masking and anonymization techniques. These challenges require careful planning and management to overcome successfully.

Compression reduces the size of data by encoding it using efficient algorithms, leading to smaller storage requirements and faster data transfers. It is crucial for data optimization in storage solutions.

Advanced features like Live Sync in Commvault provide continuous data protection by synchronizing changes in real-time, ensuring minimal data loss in case of disruptions. While other features such as workflow automation, data encryption, and access control are important for overall data management, they don't specifically complement virtual machine protection capabilities like Live Sync does.

Implementing data encryption can pose challenges like managing encryption keys securely, dealing with performance overheads, and ensuring compatibility across systems, all of which require careful consideration.

Option A is correct because data anonymization techniques like data masking and data encryption are essential for preserving data privacy and security. Data masking obscures sensitive information, making it challenging to identify individuals, while data encryption ensures data remains unreadable without the correct decryption key. These techniques are vital for safeguarding personal data and complying with privacy regulations. Understanding data anonymization methods is crucial for protecting sensitive information and maintaining data confidentiality.

Storage reporting and monitoring tools contribute to capacity planning by helping predict future storage needs based on historical data, identifying underutilized resources that can be optimized or repurposed, and analyzing trends to make informed decisions. This proactive approach ensures efficient resource allocation and prevents potential storage capacity issues.

Commvault supports various databases for application-aware backups, including Oracle Database, Microsoft SQL Server, MySQL, and PostgreSQL. These backups ensure data consistency and application integrity, making them crucial for reliable disaster recovery and backup operations.

Customization in Commvault plays a vital role in enhancing reporting by enabling users to create custom report templates tailored to their unique requirements. This customization leads to more detailed data analysis and accurate insights, empowering organizations to make informed decisions and optimize their data management strategies effectively.

Performing application-aware backups offers advantages such as improved data consistency, allowing for granular recovery options and reducing the risk of data corruption. Additionally, these backups often result in faster backup and restore times, making them ideal for databases and email servers.

Commvault's compatibility is ensured through its extensive library of connectors and integration modules, allowing seamless interaction with various external applications.

Commvault employs hashing techniques during data deduplication and compression to ensure data integrity. Hashing generates unique identifiers for data chunks, allowing the system to detect any changes or corruption in the deduplicated data. This helps maintain data integrity throughout the storage and retrieval processes.