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| Section | Objectives |
|---|---|
| Troubleshooting and Maintenance | - Common system issues and diagnostics - Software upgrades and lifecycle management - Performance troubleshooting basics |
| FlashArray Architecture Fundamentals | - Storage efficiency and data reduction technologies - Purity OS architecture and data services - FlashArray hardware components and models |
| Data Protection and High Availability | - Replication concepts and configuration - Snapshots and protection groups - Disaster recovery basics |
| Installation and Configuration | - Network configuration and connectivity - Initial setup and system initialization - Array provisioning and host connectivity |
| Storage Management and Operations | - Performance monitoring and optimization - Host and host group configuration - Volume creation and management |
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質問 # 17
A customer currently has a FlashArray//X for their block storage with 40 TB of available storage. They need 10 TB of file workloads and want to spend the least amount possible on infrastructure.
What should the SE recommend?
正解：B
解説：
The customer currently has a FlashArray//X with 40 TB of available block storage and needs to add 10 TB of file workloads while minimizing infrastructure costs. Let's analyze the options:
Analysis of Options:
A). Run both workloads on the current FlashArray:
Pure Storage FlashArray supports both block and file workloads using the Purity File Services feature, which allows customers to run file workloads directly on their FlashArray.
Since the FlashArray already has 40 TB of available storage, adding 10 TB of file workloads is feasible without requiring additional hardware. This is the most cost-effective solution.
B). Add another disk pool for file storage to their current FlashArray:
Adding a separate disk pool for file storage is unnecessary because Purity File Services can handle both block and file workloads on the same array.
C). Purchase an entry-level FlashBlade for the file workload:
While FlashBlade is designed for file and object workloads, purchasing a new FlashBlade would be significantly more expensive than leveraging the existing FlashArray. This option does not align with the customer's goal of minimizing costs.
D). NDU the FlashArray //X to a //XL and run both workloads there:
Upgrading the FlashArray//X to a FlashArray//XL via a Non-Disruptive Upgrade (NDU) is unnecessary for this use case. The current FlashArray//X has sufficient capacity to handle both workloads, and upgrading to a higher-tier array would increase costs unnecessarily.
Recommendation:
The most cost-effective solution is
A). Run both workloads on the current FlashArray, leveraging Purity File Services to support the file workload.
Reference: Purity File Services Documentation:
Purity File Services
Explains how to configure and use file services on FlashArray.
FlashArray Use Cases:
FlashArray Use Cases
Highlights the versatility of FlashArray for both block and file workloads.
質問 # 18
A customer is looking for a new storage system with the following requirements:
* 20 TB of file shares
* Support 800 TB of Wols
* Low cost per GB
* CloudSnap utilization in the future
Which Pure Storage platform should be recommended?
正解：B
解説：
The customer is looking for a storage system that supports 20 TB of file shares, 800 TB of workloads, has a low cost per GB, and can utilize CloudSnap in the future. The best recommendation is FlashArray//C.
Why This Matters:
FlashArray//C:
FlashArray//C is designed for capacity-optimized workloads, making it ideal for use cases requiring large amounts of storage at a lower cost per GB compared to higher-performance arrays like FlashArray//X.
It supports QLC flash technology, which provides high density and cost efficiency for less performance-intensive workloads.
CloudSnap is fully supported on FlashArray//C, enabling snapshots to be offloaded to public cloud storage for disaster recovery or archival purposes.
Why Not the Other Options?
A). FlashArray//X:
FlashArray//X is optimized for high-performance workloads, such as databases and mission-critical applications. While it supports CloudSnap, it is more expensive and not the most cost-effective solution for large-scale capacity needs.
C). Cloud Block Store:
Cloud Block Store is a cloud-native block storage solution that runs in public clouds (e.g., AWS, Azure). It does not meet the requirement for on-premises storage with file shares and CloudSnap utilization.
D). FlashBlade//S:
FlashBlade//S is designed for file and object storage but is typically used for high-performance, unstructured data workloads. It is more expensive than FlashArray//C and not necessary for this use case.
Key Points:
FlashArray//C: Provides high-density storage at a low cost per GB, ideal for large-scale workloads.
CloudSnap Support: Enables offloading snapshots to the cloud for disaster recovery or archival purposes.
Cost Efficiency: Balances performance and cost, making it suitable for file shares and large datasets.
Reference: Pure Storage FlashArray//C Documentation: "Use Cases for FlashArray//C" Pure Storage Whitepaper: "Optimizing Storage Costs with FlashArray//C" Pure Storage Knowledge Base: "Choosing the Right FlashArray Model for Your Workload"
質問 # 19
Refer to the exhibit.
The customer wants to add an additional 10 TB of test/dev workload to this array.
What should the SE recommend?
正解：D
解説：
SE should recommend adding the 10 TB test/dev workload to the array while advising the admin to monitor performance and capacity. This recommendation assumes that the array has sufficient resources (e.g., available capacity, performance headroom) to handle the additional workload without requiring immediate upgrades or changes.
Why This Matters:
Current Array Capacity and Performance:
Pure Storage FlashArray is designed to efficiently handle workloads with advanced data reduction techniques (deduplication, compression, etc.) and high-performance NVMe storage.
If the array has sufficient unused capacity and performance headroom, adding a 10 TB test/dev workload is feasible without requiring hardware upgrades.
Monitoring:
After adding the workload, it is critical to monitor both performance metrics (e.g., latency, IOPS, throughput) and capacity utilization to ensure the array continues to meet SLAs and does not exceed its limits.
Why Not the Other Options?
A). Upgrade the controller to an //X90R3 to handle the additional workload:
Upgrading the controller is unnecessary unless the current controller is nearing its performance limits. Test/dev workloads are typically less demanding than production workloads, so this step would likely be premature.
B). Add more DirectFlash NVMe modules to the expansion shelf to handle the additional capacity:
Adding more NVMe modules is only necessary if the array is running out of physical capacity. If the array already has sufficient capacity, this step is not required.
C). Upgrade the 22 TB DirectFlash NVMe modules to a higher capacity to handle the additional workload:
Upgrading the NVMe modules to higher-capacity ones is a significant investment and is only justified if the array is consistently running out of capacity. For a 10 TB workload, this step is likely excessive.
Key Points:
Feasibility of Adding Workload: The array can likely handle the additional 10 TB workload without immediate upgrades.
Monitoring: Continuous monitoring ensures that performance and capacity remain within acceptable limits.
Cost Efficiency: Avoiding unnecessary upgrades or changes helps optimize costs while meeting the customer's needs.
Reference: Pure Storage FlashArray Documentation: "Capacity Planning and Workload Sizing" Pure Storage Whitepaper: "Best Practices for Managing Test/Dev Workloads" Pure Storage Knowledge Base: "Adding Workloads to FlashArray Without Disruption"
質問 # 20
Refer to the exhibit.
Which FlashArray controller(s) does the exhibit show?
正解：C
解説：
Exhibit controllers of a Pure Storage FlashArray, specifically labeled as CT1 (top) and CT2 (bottom).
This labeling is consistent with Pure Storage's naming convention for its controllers.
Why This Matters:
Controller Identification:
Pure Storage FlashArray controllers are typically labeled as CT1 and CT2 to distinguish between the two controllers in an active/active architecture.
Both controllers work together to provide high availability and redundancy, ensuring seamless operation even if one controller is offline for maintenance or upgrades.
Active/Active Architecture:
In an active/active design, both controllers share the workload equally. If one controller is taken offline, the other seamlessly handles all I/O operations without impacting performance or availability.
Why Not the Other Options?
B). Top: Primary, Bottom: Secondary:
Pure Storage does not use "Primary" and "Secondary" labels for its controllers. Instead, it uses specific identifiers like CT1 and CT2 to refer to the controllers.
C). Top: CTO, Bottom: CT1:
The label "CTO" is not a valid designation for FlashArray controllers. Pure Storage consistently uses CT1 and CT2 to identify the controllers.
Key Points:
Controller Labels: Pure Storage FlashArray controllers are labeled as CT1 and CT2.
Active/Active Design: Both controllers operate simultaneously to ensure high availability and performance.
Redundancy: The dual-controller architecture provides fault tolerance and minimizes downtime during maintenance or failures.
Reference: Pure Storage FlashArray Documentation: "Understanding FlashArray Controller Architecture" Pure Storage Knowledge Base: "Identifying FlashArray Controllers" Pure Storage Whitepaper: "Active/Active Controller Design for High Availability"
質問 # 21
Which Evergreen//Forever benefit allows a customer to trade in an existing 12 TB shelf for a new 60 TB shelf while only paying for a 48 TB increase?
正解：D
解説：
The Right-Size Guarantee is an Evergreen//Forever benefit that allows customers to trade in existing storage shelves for newer, higher-capacity shelves while only paying for the incremental capacity increase. In this scenario, the customer can trade in a 12 TB shelf for a 60 TB shelf and only pay for the additional 48 TB of capacity.
Why This Matters:
The Right-Size Guarantee ensures that customers can upgrade their storage infrastructure without overpaying for capacity they already own. This aligns with Pure Storage's commitment to providing flexible and cost-effective storage solutions.
By leveraging this benefit, the customer can modernize their storage environment while optimizing costs.
Why Not the Other Options?
A). Capacity Consolidation:
Capacity Consolidation refers to the ability to consolidate workloads onto fewer arrays or shelves, but it does not specifically address trading in existing shelves for higher-capacity ones at a reduced cost.
B). Flat is Fair Maintenance:
Flat is Fair Maintenance ensures predictable and consistent maintenance pricing over time, but it does not apply to upgrading or trading in storage shelves.
D). Love Your Storage:
Love Your Storage is a program that provides hardware upgrades and enhancements, but it does not directly relate to trading in shelves for capacity increases.
Key Points:
Right-Size Guarantee: Allows customers to trade in existing shelves for higher-capacity shelves at a reduced cost.
Cost Optimization: Ensures customers only pay for the incremental capacity increase, reducing total cost of ownership (TCO).
Evergreen Benefits: Part of Pure Storage's commitment to delivering flexible and future-proof storage solutions.
Reference: Pure Storage Evergreen//Forever Documentation: "Understanding the Right-Size Guarantee" Pure Storage Whitepaper: "Evergreen Architecture and Subscription Benefits" Pure Storage Knowledge Base: "How to Leverage the Right-Size Guarantee"
質問 # 22
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