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| Section | Weight | Objectives |
|---|---|---|
| FlashArray Files | 12% | - File system deployment and configuration - File access and sharing - File system management and optimization |
| Troubleshooting | 20% | - System error handling and recovery - Resolving connectivity problems - Upgrade and maintenance procedures - Diagnosing performance issues |
| Monitoring | 20% | - Alert management and reporting - Pure1 monitoring and analytics - Performance monitoring and analysis |
| Administration | 30% | - Network setup and integration - System configuration and management - User and access control - Volume and host provisioning |
| Data Protection | 18% | - Data encryption and security - Replication and disaster recovery - Snapshot technology and management |
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質問 # 43
In reviewing space metrics via the Pure Management GUI, a storage manager notices the total reduction rate is much higher than the Data Reduction Rate (DRR).
What is the reason for this?
正解：B
解説：
Understanding Data Reduction Rate (DRR): DRR is a measure of the effectiveness of Purity's deduplication and compression algorithms. It compares the amount of data written by the host to the amount of physical space actually occupied on the flash media after these processes have occurred.
Calculation: $\text{DRR} = (\text{Deduplication} \times \text{Compression})$.
Understanding Total Reduction: The Total Reduction metric is a broader "efficiency" value. It represents the ratio of the Total Provisioned (logical) space to the Physical space used.
The "Thin Provisioning" Factor: The primary difference between these two numbers is Thin Provisioning.
FlashArrays are 100% thin-provisioned by default. If a customer creates a 100TB volume but the host only writes 1TB of data, the "Total Reduction" will be massive because it counts all that unwritten, "virtual" space as "saved." The DRR, however, only looks at the 1TB that was actually written and calculates how well it was compressed and deduped.
Why Option C is incorrect: Both metrics generally account for the efficiency of snapshots. However, snapshots contribute to DRR through deduplication (since they share blocks with the source volume). The massive gap between DRR and Total Reduction is almost always mathematically attributed to the "unwritten" space provided by thin provisioning.
Key Takeaway: If your DRR is 5-to-1 but your Total Reduction is 50-to-1, it means your data is compressing/deduping well, but you have also provisioned a significant amount of volume space that hasn't been written to yet.
質問 # 44
A FlashArray//XL is used for NVMe-RoCE services. The array has been lightly loaded and has performed as expected. A new workload has been added to the array, which is within the array's performance envelope. The change has resulted in extreme latency and service outages for all workloads utilizing NVMe-RoCE.
Which misconfiguration is this a symptom of?
正解：B
解説：
Requirement for Lossless Ethernet: NVMe over RoCE (RDMA over Converged Ethernet) requires a lossless fabric to function correctly. Unlike standard iSCSI which uses TCP for error recovery, RoCE assumes the network will not drop packets. If the network is "lossy," performance degrades significantly.
The Role of PFC: Priority Flow Control (PFC) (IEEE 802.1Qbb) is the specific mechanism used in Data Center Bridging (DCB) to provide flow control on a per-priority basis. It allows the switch to send a "pause" frame to the sender when buffers are full, preventing packet drops.
Symptom Analysis: In the scenario provided, the array itself is not overloaded ("within the performance envelope"). However, the addition of a new workload increased traffic to the point where buffer congestion occurred. Because PFC was likely misconfigured (either on the FlashArray ports, the network switches, or the host NICs), the network dropped packets instead of pausing traffic. This leads to "go-back-N" retransmissions and massive latency spikes that affect all workloads sharing that fabric.
Pure Storage Best Practices: Pure Storage documentation for NVMe-RoCE emphasizes that PFC must be enabled and consistent across the entire path. If there is a mismatch in PFC configuration, the resulting packet loss will cause the symptoms described: extreme latency and potential service outages.
質問 # 45
A storage administrator has presented VMFS datastores from a FlashArray with 10TB of raw capacity.
Why would the administrator see system space when logging in to the FlashArray GUI?
正解：C
解説：
On a Pure Storage FlashArray, "System Space" is a specific GUI-reported metric. Purity has a predefined, hidden internal space budget-typically around 20% of the raw mapped capacity (which would be 2TB on a 10TB array)-reserved for internal array operations. This budget covers RAID/parity overhead, metadata, and reclaimable space (data from deleted volumes, snapshots, or overwritten blocks that are waiting for the backend garbage collection process to fully erase them from the flash chips).
Normally, this internal overhead stays below the 20% budget, and "System Space" displays as 0.00 in the GUI. However, if an administrator deletes a massive amount of data at once, causing the reclaimable space to exceed that 2TB budget, the overflow is prominently displayed in the GUI as "System Space." Here is why the other options are incorrect:
Virtual machines have not yet issued an unmap command (A): If a VMware VM deletes a file but the OS hasn't issued an UNMAP/TRIM command, the FlashArray is completely unaware that the data was deleted. Therefore, the array continues to report that capacity as standard Volume Space, not System Space.
More than 2TB of volume snapshots were destroyed (C): While destroying snapshots leads to reclaimable space, "reclaimable space" (Option B) is the specific, correct Purity architectural term and metric that the system uses to calculate the internal budget threshold.
質問 # 46
The SNMP protocol can be used to monitor what statistics of the array's performance?
正解：B
解説：
SNMP Capabilities on FlashArray: Pure Storage FlashArrays support SNMP (Simple Network Management Protocol) versions v2c and v3. The primary use case for SNMP on the FlashArray is for integration with third-party monitoring tools (like SolarWinds, Nagios, or Zabbix) to provide a real-time health and performance heartbeat.
Performance Metrics (MIBs): The Pure Storage Management Information Base (MIB) specifically exposes high-level array performance metrics. These include the "Big Three" of storage performance: Latency (response time in microseconds), Bandwidth (throughput in bytes per second), and IOPS (I/O operations per second).
Scope of Monitoring: While the FlashArray GUI and CLI provide deep granularity (per host, per volume, or per pod), standard SNMP queries typically focus on array-wide performance and health status. Detailed "Host and volume performance" (Option B) is generally more effectively monitored via the Pure Storage REST API or the Pure1 VM Analytics, as SNMP is less efficient for pulling large tables of per-object data.
Capacity vs. Performance: While SNMP can report on capacity (Option C) through specific OIDs, the question specifically asks about performance statistics. In the context of Pure Storage monitoring documentation, the core performance metrics provided via SNMP traps and polling are latency, bandwidth, and IOPS.
質問 # 47
How would a FlashArray administrator view external latency for write requests for a specific volume?
正解：A
解説：
The Analysis Tab: In the Pure Storage FlashArray GUI, the Analysis tab is the primary location for deep-dive performance troubleshooting and historical data visualization. While the Storage tab provides a real-time "at-a-glance" view of a volume, the Analysis tab allows for granular filtering of specific metrics.
Granular Metric Filtering: When troubleshooting latency, it is critical to distinguish between Read and Write operations, as they interact with the Purity operating environment differently (e.g., writes hitting NVRAM vs. reads hitting the Flash modules).
External vs. Internal Latency: Pure Storage differentiates between "Array Latency" (internal processing) and "External Latency" (the time seen by the host). By navigating to Analysis > Performance, an administrator can drill down into the Volumes sub-tab.
Selecting the Volume and Operations: Once a specific volume is selected, the chart typically defaults to a combined view. To isolate "external latency for write requests," the administrator must use the legend/filters to select "Write" while deselecting "Read" and "Mirrored Write" (which refers to synchronous replication traffic in ActiveCluster environments). This provides a clean graph of the round-trip write latency specifically for that volume's host I/O.
Why other options are incorrect: Option B refers to physical port health and hardware status, not volume-level performance. Option C provides basic volume metadata and real-time total latency, but lacks the granular historical filtering (selecting/deselecting specific I/O types) required for detailed performance analysis.
質問 # 48
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