Data Protection Levels And Metrics

Question 1

What is data protection

Answer 1

A set of principles, strategies and processes to secure the privacy, integrity and availability of data

Question 2

Importance of data protection

Answer 2

Disasters: protection from weather, human error or technology failure.
External Threats: Guard against DOS, virus, ransomeware and other external threats
Regularly Compliance: Comply with government retention requirements
Internal Threats: Protect data against malicious internal access, rogue administrators or comprised users.

Question 3

Data protection metric

Answer 3

Recover Time Objective (RTO) - the maximum acceptable amount of time before data is available.
Recover Point Objective (RP0) - the maximum acceptable amount of data that can be lost

Question 4

Data protection requirements

Answer 4

High availability
Business continuity and DR
Backup and Archive
Cloud-based data protection
Security and compliance

Question 5

Data Protection for ONTAP software

Answer 5

HA solutions: NVRAM, HA Pair, RAID DP technology and SyncMirror feature
Business Continuity: SnapMirror Business Continuity (SMBC), NetAPP MetroCluster
DR: Snapmirror, Storage VM DR (SVM DR), Snapmirror Synchronous (SM-S)
Encryption and Security: Storage encription (NSE), Volume encryption (NVE), Aggregate Encryption (NAE)
Backup and Archie: Snapshot copy backups, Snapcenter, third-party integration, NDMP

Question 6

Data Protection fort SANtricty OS

Answer 6

DDP.
distributes data, protection information and spare capacity across the drives.
Shorter rebuild times. Simplified drive failure control
Minimum of 11 drives required

Question 7

Data protection for Elements software

Answer 7

Snapshot Copies
Remove replication between clusters and volumes (that are running on elements software). F
Replication between element clusters and ONTAP clusters using snapmirror
Backup to and restore volumes from SolidFire storage, S3 and swift object stores

Question 8

Data Protection for StorageGRID

Answer 8

Replication - uses ILM rules to determine how to store object data over time.
Erasure Coding - slides of the object are stored on different storage nodes with protection (parity) information.