Most Recent Pure Storage FAAA_004 Exam Dumps

Purity CloudSnap is a feature of Pure Storage FlashArray that enables customers to offload snapshots to public cloud storage for long-term retention or disaster recovery purposes. To determine which public cloud storage services are supported as offload targets, let's analyze the options:

Analysis of Options:

A . Amazon AWS S3 :

Amazon S3 (Simple Storage Service) is one of the most widely used object storage services in the public cloud.

Purity CloudSnap supports AWS S3 as an offload target, making it a valid choice.

B . IBM Object Storage :

IBM Object Storage is not currently supported as an offload target for Purity CloudSnap.

Pure Storage focuses on integration with major cloud providers like AWS and Azure.

C . Amazon AWS EBS :

Amazon EBS (Elastic Block Store) is a block storage service designed for use with EC2 instances.

However, CloudSnap does not support AWS EBS as an offload target because it is intended for object storage services like S3.

D . Azure Blob Storage :

Azure Blob Storage is Microsoft's object storage service, similar to AWS S3.

Purity CloudSnap supports Azure Blob Storage as an offload target, making it a valid choice.

Recommendation:

The correct answers are A. Amazon AWS S3 and D. Azure Blob Storage , as these are the supported public cloud storage services for CloudSnap.

Pure Storage CloudSnap Documentation :

CloudSnap Overview

Explains how CloudSnap integrates with public cloud storage services.

Supported Cloud Providers :

CloudSnap Supported Targets

Lists AWS S3 and Azure Blob Storage as supported offload targets.

To meet the customer's requirement for 450 TB of block storage with a 4:1 data reduction ratio, we need to calculate the effective usable capacity required and select the appropriate array configuration.

Step-by-Step Calculation:

Effective Usable Capacity Needed :

The workload requires 450 TB of logical storage.

With a 4:1 data reduction ratio, the physical storage required is:

Array Selection :

The selected array must provide at least 112.5 TB of usable capacity after accounting for overhead and RAID protection.

Let's evaluate the options:

A . FlashArray//C40R3 247 TB :

The FlashArray//C40R3 provides 247 TB of raw capacity. After accounting for overhead (typically ~20%), the usable capacity is approximately:UsableCapacity=247TB0.8=197.6TB.

This exceeds the required 112.5 TB , making it a valid option.

B . FlashArray//C60R3 878 TB :

The FlashArray//C60R3 provides 878 TB of raw capacity, which is significantly larger than needed. While it meets the requirement, it is not the minimum configuration.

C . FlashArray//X70R3 228 TB :

The FlashArray//X70R3 provides 228 TB of raw capacity. After overhead, the usable capacity is approximately:UsableCapacity=228TB0.8=182.4TB.

While this also meets the requirement, it is more expensive than the C40R3.

D . FlashArray//C60R3 366 TB :

The FlashArray//C60R3 with 366 TB of raw capacity is overkill for this requirement and not cost-effective.

Recommendation :

The FlashArray//C40R3 247 TB provides the minimum required usable capacity while meeting the customer's needs.

Final Recommendation:

The correct answer is A. FlashArray//C40R3 247 TB .

FlashArray//C Series Product Overview :

FlashArray//C Series

Details the capacity and use cases for FlashArray//C models.

Capacity Planning Guide :

Pure Storage Capacity Planning

Provides guidance on calculating usable capacity based on data reduction ratios.

Pure Storage's Right-Size Guarantee ensures that customers can accurately predict their storage needs based on their workload characteristics. Here's an analysis of the statements:

Correct Statements:

B . Evergreen//Foundation subscriptions are not eligible for guarantee :

The Right-Size Guarantee applies only to specific subscription tiers, such as Evergreen//One and Evergreen//Forever. Evergreen//Foundation, which is a lower-tier subscription, is not eligible for this guarantee.

C . The Workload Mix cannot change by more than 20% :

To maintain the accuracy of the Right-Size Guarantee, the customer's workload mix (e.g., database, VDI, file shares) must remain relatively stable. A significant change in the workload mix (greater than 20%) could invalidate the guarantee, as it affects data reduction ratios and capacity predictions.

Incorrect Statements:

A . The customer must complete a 6-month proof of concept :

A proof of concept is not required to qualify for the Right-Size Guarantee. Instead, the guarantee is based on the initial assessment of the workload and adherence to the terms.

D . Capacity upgrades will extend the Right-Size Guarantee :

Capacity upgrades do not automatically extend the Right-Size Guarantee. The guarantee is tied to the initial assessment and workload stability, not hardware upgrades.

Final Recommendation:

The correct answers are B. Evergreen//Foundation subscriptions are not eligible for guarantee and C. The Workload Mix cannot change by more than 20% .

Pure Storage Right-Size Guarantee Overview :

Pure Storage Right-Size Guarantee

Details the terms and conditions of the Right-Size Guarantee.

Evergreen Subscription Tiers :

Pure Storage Evergreen Subscriptions

Explains the differences between Evergreen subscription tiers.

The exhibit shows latency in the VMware environment connected to the FlashArray. When troubleshooting latency issues in a VMware environment, the first step is to identify whether the issue originates from the storage array, the network, or the ESXi host. In this case, the SE should recommend checking the ESXi host , as it is often the source of latency problems in VMware environments.

Why This Matters:

ESXi Host Issues:

The ESXi host could be experiencing resource contention (e.g., CPU, memory, or network bottlenecks) or misconfigurations (e.g., improper queue depth settings or multipathing policies).

High latency on the ESXi host can impact the performance of virtual machines and appear as storage latency, even if the FlashArray itself is functioning optimally.

Why Not the Other Options?

A . Add DirectFlash Modules as the system is disk bound:

Pure Storage FlashArray uses DirectFlash Modules, which are NVMe-based and provide extremely low latency. If the array were disk-bound, it would indicate a hardware limitation, but this is unlikely with FlashArray's architecture. The issue is more likely related to the ESXi host or network.

B . Upgrade the controllers:

Controller upgrades are typically unnecessary unless the array is nearing its performance limits. Since the exhibit does not indicate any signs of controller saturation, this is not the correct recommendation.

C . Add network cards to alleviate network congestion:

While network congestion can cause latency, the issue is more likely related to the ESXi host configuration. Adding network cards should only be considered after confirming network bottlenecks through diagnostics.

Key Points:

ESXi Host Diagnostics: Start by checking the ESXi host for resource contention, misconfigurations, or improper settings.

Storage Array Health: Verify that the FlashArray is not experiencing any performance issues (e.g., high queue depths or latency).

Network Analysis: Only after ruling out the ESXi host and storage array should network-related issues be investigated.

Pure Storage FlashArray Documentation: 'Troubleshooting Latency in VMware Environments'

VMware Best Practices Guide: 'Optimizing ESXi Host Performance'

Pure Storage Knowledge Base: 'Diagnosing and Resolving Latency Issues'

If a customer notices a low data reduction ratio upon initial data ingest, the Purity data reduction technique that will help increase the data reduction ratio over time is deep deduplication and deep compression .

Why This Matters:

Deep Deduplication and Deep Compression:

Purity//FA (the operating system for FlashArray) applies deduplication to eliminate duplicate data blocks and compression to reduce the size of unique data blocks.

These techniques are applied continuously as new data is written to the array. Over time, as more data is ingested and patterns emerge, the effectiveness of deduplication and compression increases, leading to a higher data reduction ratio.

For example, deduplication becomes more effective as the dataset grows and more duplicates are identified. Similarly, compression benefits from identifying repetitive patterns in larger datasets.

Why Not the Other Options?

B . Snapshot cleanup and garbage collection:

Snapshot cleanup and garbage collection are maintenance processes that reclaim space from deleted snapshots or unused data blocks. While these processes free up space, they do not directly contribute to increasing the data reduction ratio.

C . Capacity consolidation and cloning:

Capacity consolidation refers to combining workloads onto fewer arrays, and cloning creates space-efficient copies of volumes. While cloning leverages data reduction techniques, it does not inherently improve the overall data reduction ratio for existing data.

D . RAID-HA protection and AES-256 encryption:

RAID-HA (high availability) ensures data redundancy, and AES-256 encryption secures data. Neither of these features impacts the data reduction ratio.

Key Points:

Deep Deduplication and Compression: Continuously optimize storage efficiency as more data is ingested.

Data Reduction Ratio: Improves over time as deduplication identifies duplicates and compression reduces unique data.

Purity//FA Automation: These techniques are fully automated and do not require manual intervention.

Pure Storage FlashArray Documentation: 'Understanding Data Reduction in Purity//FA'

Pure Storage Whitepaper: 'Maximizing Data Reduction with FlashArray'

Pure Storage Knowledge Base: 'How Deduplication and Compression Work in FlashArray'