Free NetApp NS0-604 Exam Dumps July 2026

When setting up NetApp Cloud Volumes ONTAP for a general-purpose file share workload, the primary focus should be on implementing backup to ensure data availability. Backups are essential to protect data from accidental deletion, corruption, or catastrophic failures. Implementing a solid backup strategy ensures that, in the event of an issue, the data can be recovered and made available again quickly.

While compression (A) and encryption (B) are important features for storage efficiency and data security, they do not directly address data availability. Tiering inactive data (D) helps optimize costs but is not a primary concern for ensuring availability in the event of a failure or loss.

For an application-aware data management solution for Kubernetes clusters that can be deployed on-premises on the customer's own hardware, the following two solutions should be deployed:

NetApp ONTAP AFF (C): ONTAP AFF systems provide enterprise-grade storage with Kubernetes integration, allowing the customer to manage Kubernetes workloads with advanced data management features like snapshots and replication.

NetApp Astra Control Center (D): Astra Control Center is designed for on-premises environments and provides application-aware data management for Kubernetes clusters. It helps with backup, restore, and migration for containerized applications on the customer's infrastructure.

Azure NetApp Files (A) and Astra Control Service (B) are cloud-based solutions and are not designed for on-premises deployments.

When replicating data between Azure NetApp Files volumes in different regions, the appropriate replication method is asynchronous replication. Asynchronous replication is commonly used for geo-replication across regions to ensure data is copied between regions, providing disaster recovery capabilities while allowing some latency in data synchronization.

Synchronous (D) replication is typically used for high-availability within the same region or low-latency environments. Bidirectional (A) and semi-synchronous (B) are not applicable or commonly used terms in Azure NetApp Files replication scenarios.

When creating dashboards in NetApp Cloud Insights, two of the available widget types are:

Note (C): This widget allows users to add explanatory text or annotations to the dashboard. It helps provide context or details regarding the displayed metrics or data.

Single Value (D): This widget is used to display a single metric or value prominently. It is useful for tracking specific KPIs or performance metrics in a simple and easy-to-read format.

Machine learning (A) is not a widget type; rather, it is a feature that Cloud Insights uses to provide intelligent insights from collected data. VMware (B) is not a widget but can be a data source that Cloud Insights monitors.

When deploying NetApp Cloud Volumes ONTAP on Amazon Web Services (AWS), for applications that use large sequential I/O, the key workload characteristic used for sizing Amazon Elastic Block Store (Amazon EBS) is MBps (megabytes per second). Large sequential I/O workloads, such as video streaming or backup operations, typically require high throughput rather than high IOPS (input/output operations per second).

Capacity (A) and IOPS (B) are important for other types of workloads, such as databases, while CPU (C) is related to processing power but not specific to large sequential I/O. For these workloads, throughput, measured in MBps, is the critical sizing metric.