NS0-593 Exam Dumps - Netapp Certification Questions and Answers

A B2B type consistency point (CP) occurs when a new CP is triggered before the previous CP is completed, due to the second memory buffer reaching a watermark. This can cause write latency to increase as user write operations are not replied until a write buffer frees up. However, this only affects the aggregate that is undergoing the B2B processing, and not the other aggregates on the same node. Therefore, the performance of the client operations on the data aggregates will not be affected by B2B processing on the root aggregate. References = What is the Back-to-Back (B2B) Consistency Point Scenario?, What are the different Consistency Point types and how are they measured in ONTAP 9?, What are the different Consistency Point types and how are they measured?

A MetroCluster configuration requires the ISLs between the sites to be up and running for the switchover to occur. If the ISLs are down, the MetroCluster configuration cannot communicate with the other site and cannot perform the switchover. Additionally, a MetroCluster configuration requires all aggregates to be mirrored across the sites for data protection and availability. If a site has unmirrored aggregates, the switchover will fail because the data on those aggregates will not be accessible from the other site. References = Configuring the MetroCluster software in ONTAP, NetApp MetroCluster FC for ONTAP 9.8

Data. However, I cannot guarantee the accuracy or completeness of this answer, and you should verify it with the NetApp Support Engineer ONTAP Specialist documents and learning resources.

Here are some references that might help you:

1: qos statistics volume latency show - NetApp 2: How to use and understand qos statistics commands to monitor volume latency in real time - NetApp Knowledge Base

 The two throughput elements that are controlled by host applications are operation size and concurrency. Operation size refers to the amount of data that is transferred in a single I/O request, and concurrency refers to the number of I/O requests that are issued simultaneously. Both of these factors affect the throughput of a host application, as they determine how much data can be sent or received within a given time period. Larger operation sizes and higher concurrency can increase the throughput, but they may also increase the latency and resource consumption12. References: 1: NetApp Performance Analysis on Data ONTAP - Chapter 3: Host-Side Performance 2: NetApp Performance Analysis on Data ONTAP - Chapter 4: Storage System Performance