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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting | 20% | - System error handling and recovery - Resolving connectivity problems - Upgrade and maintenance procedures - Diagnosing performance issues |
| Monitoring | 20% | - Pure1 monitoring and analytics - Performance monitoring and analysis - Alert management and reporting |
| Administration | 30% | - Network setup and integration - User and access control - System configuration and management - Volume and host provisioning |
| Data Protection | 18% | - Replication and disaster recovery - Snapshot technology and management - Data encryption and security |
| FlashArray Files | 12% | - File access and sharing - File system management and optimization - File system deployment and configuration |
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NEW QUESTION # 49
Which of the following statements regarding REST APIv1 and REST APIv2 is true?
Answer: C
Explanation:
API Evolution: Pure Storage introduced REST API 2.x to provide a more scalable, standardized, and performant way to automate FlashArray management. It uses a different authentication method (OAuth2 with API Clients) compared to the API Token-based method in 1.x.
Feature Freeze on 1.x: As of Purity 6.x and beyond, Pure Storage has designated REST API 1.x as "Legacy." While 1.x is still supported for backward compatibility to ensure older scripts don't break, all new Purity features (such as specialized ActiveDR commands, advanced File Services, or new hardware capabilities) are only developed and exposed via REST API 2.x.
Side-by-Side Support: Contrary to option C, both versions are supported side-by-side on the same array. An administrator can run a script using 1.x for volume creation and another script using 2.x for performance monitoring simultaneously without contacting support.
Feature Parity: REST API 2.x has long since reached and exceeded the capabilities of 1.x. It offers improved filtering, pagination, and a more consistent object model (e.g., /volumes instead of multiple nested endpoints).
Best Practice: Pure Storage strongly recommends that all new automation projects use REST API 2.x to ensure access to the full suite of Purity features and to future-proof infrastructure-as-code (IaC) workflows.
NEW QUESTION # 50
An ActiveCluster (AC) FlashArray pair lost connectivity with each other over the replication network. When the pod failover occurred, a single volume in the stretched pod lost connectivity to its host while other volumes in the stretched pod remained available to the host.
What is the most likely cause of the loss of stretched volume connectivity from the host?
Answer: B
Explanation:
ActiveCluster Connectivity Models: In an ActiveCluster environment, hosts can connect to the arrays using either a Uniform or Non-Uniform access model. In a Uniform model, the host has active paths to both FlashArrays in the cluster.
The Failover Scenario: When the replication network between the two arrays fails (a "split-brain" scenario), the Mediator decides which array keeps the pod online (the winner) and which array takes it offline (the loser) to ensure data consistency.
Analyzing the Symptoms:
The pod failed over, meaning one array is now the exclusive servicer for that pod.
Most volumes in that pod stayed online for the host. This proves that the host is correctly registered in Purity (ruling out Option C) and that the general ActiveCluster/Pod logic is functioning.
Only one specific volume lost connectivity.
The Root Cause (Zoning/Access): If a single volume loses connectivity while others do not, it indicates a pathing issue specific to that volume's visibility. In an ActiveCluster failover, if the "winning" array does not have a physical path to the host for that specific volume (due to missing FC Zoning or Ethernet VLAN tagging on the switches), the host will lose access once the "losing" array drops its paths.
Why Option A is unlikely: If "Uniform access" (the ability to see both arrays) was the issue, it would typically affect all volumes in the pod equally during a failover, not just a single outlier. The fact that the rest of the volumes remained available suggests the host is configured for uniform access, but the specific network plumbing (zoning) for that one volume's path to the surviving array is missing.
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NEW QUESTION # 51
An application engineer reports seeing high latency in their application running in a VMware instance.
What is the best method to determine the source of the latency?
Answer: A
Explanation:
Within the Pure Storage ecosystem, the absolute best method to troubleshoot and pinpoint the exact source of VMware latency is to use VM Analytics (VM Topology) in Pure1.
VM Analytics is a feature built directly into Pure1 that maps the entire data path from the virtual machine all the way down to the physical FlashArray. It provides a visual topology map detailing the VM, Virtual Disk, ESXi Host, Datastore, and FlashArray Volume. By analyzing performance across this topology, an administrator can instantly identify exactly where the latency is being introduced. For example, you can clearly see if the latency spikes at the ESXi host layer (indicating compute contention) or the network layer, even if the FlashArray volume itself is reporting sub-millisecond latency at the storage level.
Here is why the other options are incorrect:
Analyze load metrics in Pure1 for each volume in the user's data path (C): Looking exclusively at volume-level metrics on the FlashArray will only tell you the latency from the array's perspective. If the latency is being caused by an overloaded ESXi host CPU or a saturated SAN fabric, the FlashArray metrics will look perfectly healthy, and you will fail to identify the source of the problem.
Analyze performance charts in vSphere for CPU, Memory, Network, and Storage Path for the user's data path (B): While vCenter performance charts are useful, they often lack deep storage-array-level context. Pure1's VM Topology is the "best" method because it correlates the vSphere stack data with the native FlashArray telemetry data in a single, unified view, making full-stack root cause analysis much faster.
NEW QUESTION # 52
An On-Premises ActiveCluster (AC) Mediator is installed on an ESXi server. The mediator was previously online but when the administrator checked the status of the ActiveCluster (AC) pods the mediator status was listed as "unreachable" for both FlashArrays in the ActiveCluster (AC) pair.
What is a possible cause of the mediator being unreachable from both FlashArrays?
Answer: A
Explanation:
The ActiveCluster Mediator (whether it is the Pure1 Cloud Mediator or the On-Premises VM) is a lightweight tie-breaker that communicates continuously with the management interfaces of both FlashArrays. If it was previously online and suddenly reports as "unreachable" from both arrays simultaneously, the issue is almost always caused by a network interruption or firewall rule change blocking the required communication ports between the arrays' management IP addresses and the Mediator VM.
If a network firewall is suddenly configured to drop or deny outbound TCP traffic (such as port 80/443 depending on the specific HTTP/HTTPS discovery and heartbeat configuration) from the FlashArrays to the ESXi-hosted Mediator, the arrays will fail to send their heartbeats, causing the mediator status to drop to "unreachable." Here is why the other options are incorrect:
Fibre Channel (FC) zoning or network access has not been created properly for the host (A): The Mediator is completely independent of the front-end host storage fabric (Fibre Channel or iSCSI). Host zoning issues would prevent the ESXi server from seeing its volumes, but it would not cause the FlashArrays to lose management network connectivity to the Mediator.
The mediator does not reside within a Pure datastore (B): This is actually a strict best practice and requirement. Pure Storage explicitly states that the On-Premises Mediator VM must be deployed in a separate (third) failure domain. It should not reside on the ActiveCluster mirrored datastore, because a site-wide SAN failure would take the mediator offline exactly when it is needed most. Therefore, not residing on a Pure datastore is the correct setup, not a cause for an outage.
NEW QUESTION # 53
The SNMP protocol can be used to monitor what statistics of the array's performance?
Answer: B
Explanation:
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.
NEW QUESTION # 54
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