NetApp NS0-604 Exam Questions

For setting up disaster recovery in the Central US region for an existing Azure NetApp Files workload in the East US2 region, the customer should use cross-region replication. This feature allows data replication across different Azure regions, providing a robust disaster recovery solution by keeping a secondary copy of the data in a geographically separate location.

Cross-zone replication (A) deals with replication within the same region across availability zones. SnapMirror (B) and SyncMirror (C) are ONTAP-specific replication technologies but are not directly applicable to Azure NetApp Files in this scenario.

The customer is using 30TB of capacity in NetApp Cloud Volumes ONTAP but only 10TB of this capacity is actively in use. The most cost-efficient solution in this case is to implement data tiering and optimization. Data tiering moves inactive or cold data to lower-cost storage (such as object storage in Azure), while keeping frequently accessed data on higher-performance storage. This strategy allows the customer to reduce costs by only paying for premium storage for the data that is actively in use, while moving less frequently accessed data to a cheaper storage tier.

Storing all data in the premium storage tier (A) would increase costs rather than reduce them. BlueXP backup and recovery (B) is for data protection, not cost optimization. Deploying an additional single-node Cloud Volumes ONTAP instance (D) would increase storage costs rather than optimize them.

NetApp Cloud Volumes ONTAP provides several storage efficiency features that help optimize cloud storage costs. Two of the key methods for reducing costs are:

Thin Provisioning: This feature allows users to allocate more storage capacity than is physically available. Instead of reserving full storage at the time of volume creation, space is only consumed as data is written. This reduces upfront costs and optimizes storage use by delaying actual storage allocation until necessary, making it cost-effective.

Volume Deduplication: Deduplication removes redundant copies of data within a volume, reducing the total storage footprint. By eliminating duplicate blocks of data, volume deduplication significantly cuts down on the amount of storage consumed, leading to lower storage costs in the cloud environment.

Other options like 'aggregate deduplication' and the 'TCO calculator' are not direct methods to optimize storage costs. Aggregate deduplication is not as granular as volume deduplication, and the TCO calculator is a tool for estimating total cost, not a method for optimization.

Azure NetApp Files volumes need to be placed in a specially purposed subnet within your Azure Virtual Network (VNet) to ensure proper isolation and security. This subnet must be delegated specifically to Azure NetApp Files services.

A delegated subnet in Azure allows certain Azure resources (like Azure NetApp Files) to have exclusive use of that subnet. It ensures that no other services or VMs can be deployed in that subnet, enhancing security and performance. Moreover, it ensures that the volumes are only accessible through private connectivity options like VNet peering or a Virtual Network Gateway, without any exposure to the public internet.

Subnets such as basic, default, or dedicated do not have the specific delegation capabilities required for Azure NetApp Files, making delegated the correct answer for this scenario.

To add personal data identifiers from an Oracle database to NetApp BlueXP classification scans, the customer should use custom categories. Custom categories allow the user to define specific types of data (such as personal identifiers) for classification, helping BlueXP to scan and detect those specific data types within the environment.

RegEx (A) can be used for pattern matching but would require the user to manually define regular expressions, while custom keywords (D) and Data Fusion (C) are not the appropriate mechanisms for this specific use case of adding personal data identifiers to the scans. Custom categories are specifically designed for managing such identifiers.