NS0-604 Exam Dumps : Hybrid Cloud - Architect Exam

In this scenario, the life sciences customer is looking to deploy Azure VMware Solution (AVS) while leveraging Azure NetApp Files for high performance and proximity to their applications in the EAST US region. The two critical components to consider in this design are:

Ensuring that the Azure VMware Solution and Azure NetApp Files volumes are in the same Availability Zone (A): This is crucial to reduce latency and ensure optimal performance for high-performance workloads. Placing both AVS and Azure NetApp Files in the same zone ensures that data access is faster and more efficient due to reduced network hops and minimal latency.

Choosing the Azure UltraPerformance Gateway and enabling Azure ExpressRoute FastPath (C): To further optimize performance and provide dedicated, low-latency connectivity between AVS and Azure NetApp Files, using ExpressRoute with FastPath and the UltraPerformance Gateway ensures high bandwidth and lower network latencies. FastPath enables direct traffic flow between the on-premises network and the virtual network hosting AVS, bypassing the need for extra routing hops, thus improving performance.

Using dark sites (B) or public IP addresses (D) is not relevant in this case, as they do not contribute to performance optimization or the integration of Azure NetApp Files and AVS in the same region.

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.

NetApp StorageGRID'sInformation Lifecycle Management (ILM)policies offer the key benefit ofautomated data optimization. ILM policies enable the system to automatically manage data placement and retention across different storage tiers and locations based on factors such as data age, usage patterns, and performance requirements. This ensures that frequently accessed data is placed on high-performance storage, while older or less critical data can be moved to lower-cost storage, optimizing resource use and reducing costs.

While ILM policies can contribute toimproved data security (A)andsimplified data access controls (D), their primary focus is on optimizing data storage over its lifecycle.Real-time data analytics capabilities (C)are not a core feature of ILM policies.