A customer has 100TB of used capacity after efficiencies on an on-premises AFF volume. There is a requirement to tier cold data to Amazon Simple Storage Service (Amazon S3) with BlueXP tiering. There is also a requirement to back up the data with BlueXP backup and recovery to Amazon S3. After enabling tiering, 80% of cold data is tiered, then the first full backup is completed.
What is the total ingress traffic into AWS?
In this scenario, the customer has 100TB of used capacity on an on-premises AFF volume, and 80% of the data is cold and tiered to Amazon S3 using BlueXP tiering. After tiering, 80TB of cold data is tiered to Amazon S3, leaving 20TB of hot data on the AFF system. When BlueXP backup and recovery performs the first full backup, it backs up all the data (100TB). Since the backup is a full copy and independent of the tiering process, the total ingress traffic into AWS is 80TB (tiered data) + 100TB (full backup), resulting in 180TB of total ingress.
A customer wants to back up on-premises data to Google by using NetApp BlueXP backup and recovery. What is the first step that is required to implement the backup solution?
The first step in implementing NetApp BlueXP backup and recovery for backing up on-premises data to Google Cloud is to install the NetApp BlueXP Connector. The Connector acts as a central management component that facilitates communication between your on-premises storage and the cloud storage provider (Google Cloud in this case). It is a key part of the BlueXP infrastructure and is essential for managing backups, replication, and tiering to the cloud.
Creating a Google Cloud bucket (A) is necessary but not the first step. NetApp Cloud Volumes Service (B) is used for different scenarios, not specifically for backups. Installing an Acquisition Unit (D) is related to monitoring and gathering data for systems like Cloud Insights, not for the BlueXP backup process.
A customer wants to create a flexible solution to consolidate data in the cloud. They want to share files globally and cache a subset on distributed locations.
Which two components does the customer need? (Choose two.)
For a company looking to create a flexible, cloud-based solution that consolidates data and shares files globally while caching a subset in distributed locations, the following two components are required:
NetApp BlueXP edge caching Edge instances (A): This enables customers to create edge caches in distributed locations. The edge instances cache frequently accessed data locally, while the full data set remains in the central cloud storage. This setup optimizes performance for remote locations by reducing latency for cached data and improving access speeds.
NetApp Cloud Volumes ONTAP (D): Cloud Volumes ONTAP provides scalable and efficient cloud storage management for the customer's data. It supports global file sharing and allows for seamless integration with edge caching solutions. This component ensures that the data is centralized in the cloud and is available for caching to distributed locations using edge instances.
Flash Cache intelligent caching (B) is more relevant for on-premises storage performance rather than cloud-based solutions, and BlueXP copy and sync (C) is used for data migration or synchronization, but does not provide global file sharing or edge caching capabilities.
Which network construct is required to enable nondisruptive failover between nodes in a Multi-AZ NetApp Cloud Volumes ONTAP cluster in AWS?
In a Multi-AZ (Availability Zone) setup for NetApp Cloud Volumes ONTAP in AWS, ensuring nondisruptive failover between nodes is critical for high availability. 'Floating IPs' are required for seamless failover between nodes in such a configuration.
Floating IPs allow the primary node to automatically transfer its IP address to the secondary node during a failover event, ensuring that clients can continue to access the service without needing to reconfigure anything. This mechanism enables clients to access the same IP regardless of which node in the cluster is actively serving requests, thus maintaining nondisruptive operations.
Elastic Network Interfaces (ENIs) facilitate networking in AWS but do not inherently handle IP floating between nodes for failover. Security groups and Intercluster UFs manage security and inter-node communication, respectively, but do not address the failover requirements. Floating IPs are explicitly designed to enable failover in high-availability cloud storage environments like NetApp Cloud Volumes ONTAP.
Thus, 'floating IPs' are the required network construct that allows for nondisruptive failover between nodes in a multi-AZ setup, ensuring continuous service availability even in the event of an outage in one availability zone.
A customer wants an application-aware data management solution for Kubernetes clusters. The customer wants to install this solution on-premises on their own hardware.
Which two solutions should the customer deploy? (Choose two.)
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.
