NS0-162 Exam Results

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?

When you set up an ONTAP cluster, the cluster setup process automatically creates the admin SVM and the node SVMs for the cluster. The admin SVM represents the cluster and provides cluster-wide management services. The node SVMs represent the individual nodes of the cluster and provide node-specific management services. The data SVMs and the cluster SVMs are not automatically created, but can be created manually or by using the System Manager GUI. The data SVMs provide data access to the clients and applications using various protocols. The cluster SVMs provide intercluster communication and data replication between clusters12. References :- Types of SVMs, ONTAP - Types of SVMs

File System Analytics is a native ONTAP feature that collects and aggregates data in real time, providing detailed information concerning file and directory count, file-age histograms, capacity use, and other parameters1. You can use ONTAP System Manager to visualize the data using industry standard measures such as hot, warm, and cold2. File System Analytics is available on ONTAP 9.8 and later versions3. Quality of Service, Logical Space Reporting, and volume autosizeare not features that report real-time file counts, but rather features that manage performance, efficiency, and capacity of volumes45 . References :- TR-4867: Best Practice Guidelines for ONTAP FIle System Analytics, File System Analytics overview, File System Analytics feature availability, [Quality of Service overview], [Logical space reporting overview], [Volume autosize overview]

 To find the highest latency seen on restore, you need to look at the output of the table that shows the latency measurements for different operations and sizes. The highest latency is 10021 ms, which is the maximum latency for the GET operation with 8KB size. This means that when the users recover files with the Windows Previous Versions tab, they are reading data from the cloud tier that has been tiered using the snapshot-only policy, which causes high latency and slow restores.

• The other latencies are not correct, as they are lower than 10021 ms. The maximum latency for the PUT operation with 4MB size is 10500 ms, but this is not related to the restore operation, as it is writing data to the cloud tier. The maximum latency for the GET operation with 4KB size is 9591 ms, which is slightly lower than 10021 ms. The maximum latency for the GET operation with 32KB size is 7889 ms, which is much lower than 10021 ms. The maximum latency for the GET operation with 256KB size is 7838 ms, which is also much lower than 10021 ms. References :- FabricPool overview, FabricPool requirements, FabricPool best practices, High READ Latency from the fabric pool aggregate.