NS0-162 Exam Dumps : NetApp Certified Data Administrator (ONTAP)

 According to the NetApp best practices, flow control should be disabled on data network ports and cluster network ports using 10GbE Ethernet. This is because flow control can cause excessive pause frames, xon/xoff frames, or packets being re-queued, which can affect the network performance and TCP throughput. Flow control works at the physical link layer and does not consider the upper level protocols. Therefore, it is recommended to disable flow control end-to-end on both data and cluster network ports for optimal performance. References :- How to modify flow control on cluster port in ONTAP, What are the flow control best practices for Ethernet?, Configure your network for best performance

 Temperature Sensitive Storage Efficiency (TSSE) is a method of compressing data based on data “temperature”, or how often the data is used. “Cold” data, or data that is not used often, is recompressed with a higher compression ratio for increased storage efficiency. TSSE is enabled automatically on newly created thinly provisioned AFF volumes, not thick provisioned volumes. TSSE operations on AFF arrays are automatically throttled depending on whether data is hot or cold, to balance performance and efficiency. TSSE is not supported on Cloud Volumes ONTAP or ONTAP Select, as these platforms have different storage characteristics and requirements. References :- Temperature-sensitive storage efficiency overview, How does Temperature Sensitive Storage Efficiency affect SnapMirror?, ONTAP Temperature Sensitive Storage Efficiency (TSSE) – A Simple Introduction

The performance capacity report shows the current and optimal performance metrics for the CPU resource on each node of the cluster. The current metrics reflect the actual workload on the resource, while the optimal metrics reflect the workload that would result in the best performance. The performance capacity, or headroom, is the difference between the current and optimal metrics. A low or negative headroom indicates that the resource is over utilized and may experience performance degradation. The exhibit shows that both nodes have negative headroom for the CPU resource, which means that the CPU has been over utilized. A storage failover event will cause performance issues, as the surviving node will have to handle the workload of both nodes, which will further reduce the headroom and increase the latency. References :- Identify remaining performance capacity, What is Performance Capacity in ONTAP 9 and Unified Manager?