Latest Success Metrics For Actual FAAA_005 Exam 2026 Realistic Dumps [Q28-Q46]

NEW QUESTION 28
The customer asks if the FlashArray is suitable for a cloud-native application that utilizes containers and Kubernetes.
Which response addresses this question?

This is not supported with FlashArray and this application data will need to be stored on a different array.

This is supported via an installable CSI provider specifically for the FlashArray.

This is supported via Pure’s Portworx offering.

This is supported and Pure uses a software layer that is only compatible with DAS storage in Kubernetes.

The FlashArray is suitable for cloud-native applications that utilize containers and Kubernetes, but the best way to address this use case is through Pure Storage’s Portworx offering.
Why This Matters:
Portworx:
Portworx is a container storage and data management platform specifically designed for Kubernetes and cloud-native applications. It integrates seamlessly with FlashArray to provide persistent storage, data protection, and advanced features like snapshots, replication, and disaster recovery for containerized workloads.
Portworx ensures high performance, scalability, and reliability for stateful applications running in Kubernetes environments.
Why Not the Other Options?
A). This is not supported with FlashArray and this application data will need to be stored on a different array:
This statement is incorrect. FlashArray is fully capable of supporting cloud-native applications when paired with the right tools, such as Portworx.
B). This is supported via an installable CSI provider specifically for the FlashArray:
While FlashArray does support a Container Storage Interface (CSI) driver, it is a basic integration and does not provide the advanced features and capabilities offered by Portworx for Kubernetes environments.
D). This is supported and Pure uses a software layer that is only compatible with DAS storage in Kubernetes:
This statement is incorrect. Pure Storage solutions are compatible with both direct-attached storage (DAS) and external storage arrays like FlashArray.
Key Points:
Portworx: The recommended solution for integrating FlashArray with Kubernetes and containerized applications.
Advanced Features: Provides persistent storage, data protection, and scalability for cloud-native workloads.
Integration: Ensures seamless compatibility between FlashArray and Kubernetes environments.
Reference: Pure Storage Portworx Documentation: “Integrating Portworx with FlashArray” Pure Storage Whitepaper: “Cloud-Native Storage Solutions with Portworx” Pure Storage Knowledge Base: “Best Practices for Kubernetes and FlashArray Integration”

NEW QUESTION 29
A customer wants to add capacity to support a new Oracle workload. It has been determined that the application needs 398 TB of thick-provisioned storage from the host. The customer wants to purchase the minimum storage capacity to handle this workload.
How much capacity should the SE propose, assuming DRR is 3:1?

132 TB

21TB

186 TB

62 TB

NEW QUESTION 30
A customer notices a low data reduction ratio upon initial data ingest.
Which Purity data reduction technique will help increase the data reduction ratio over time?

Deep deduplication and deep compression

Snapshot cleanup and garbage collection

Capacity consolidation and cloning

RAID-HA protection and AES-256 encryption

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.
Reference: 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”

NEW QUESTION 31
A customer needs to be able to replicate from on-prem into the public cloud. They want to use the cloud as their DR site with failover and fallback capabilities.
Which Pure Storage feature should the customer use?

Snapshot replication to replicate between a FlashArray on site and Cloud Block Store

Purity//FA CloudSnap periodic offload of snapshots to AWS

ActiveCluster FC replication between a FlashArray on site and Evergreen//One

NEW QUESTION 32
A customer is reviewing their disaster recovery strategy and want to replicate their data to a secondary datacenter. They have stated that they have internal SLAs around RPO and RTO that they are not currently meeting.
Which two FlashArray features should the SE focus on? (Choose two.)

FlashRecover

ActiveCluster

CloudSnap

ActiveDR

The customer is reviewing their disaster recovery (DR) strategy and wants to replicate data to a secondary datacenter while addressing internal SLAs for RPO (Recovery Point Objective) and RTO (Recovery Time Objective). To meet these requirements, the SE should focus on two key Pure Storage FlashArray features: FlashRecover and ActiveDR.
Why These Features?
FlashRecover:
FlashRecover is a snapshot-based replication feature that allows efficient point-in-time copies of data to be replicated to a secondary site.
It helps achieve low RPOs by enabling frequent snapshots and replication to the DR site. This ensures minimal data loss in the event of a failure. ActiveDR:
ActiveDR is a disaster recovery solution that provides asynchronous replication between two FlashArrays.
It is specifically designed to minimize RTO by enabling fast failover and failback capabilities.
ActiveDR ensures that the secondary site is always ready to take over with minimal downtime, meeting strict RTO requirements.
Why Not the Other Options?
B). ActiveCluster:
ActiveCluster is a synchronous replication solution for high availability across two sites. While it provides zero RPO and near-zero RTO, it requires both sites to be within synchronous distance (typically <10ms latency). Since the customer is replicating to a secondary datacenter (likely farther away), ActiveCluster is not suitable.
C). CloudSnap:
CloudSnap is a feature that offloads snapshots to cloud storage (e.g., AWS S3 or Azure Blob). While it is useful for backup and archival purposes, it does not provide the real-time replication and failover capabilities needed for DR with strict RPO and RTO SLAs.
Key Points:
FlashRecover: Enables efficient replication with low RPOs through snapshot-based replication.
ActiveDR: Provides asynchronous replication with fast failover and failback capabilities to meet RTO requirements.
SLA Alignment: Both features are designed to help customers meet their internal SLAs for RPO and RTO.
Reference: Pure Storage FlashArray Documentation: “Disaster Recovery with FlashRecover and ActiveDR” Pure Storage Whitepaper: “Meeting RPO and RTO Requirements with FlashArray” Pure Storage Knowledge Base: “Best Practices for Disaster Recovery Planning”

NEW QUESTION 33
What should a protection group in a stretched pod be used for?

Integrating ActiveCluster with async snapshot replication

Using CloudSnap to offload to a third-site target

Initiating ActiveDR failover/failback in a test scenario

Configuring fan-out async snapshot replication

A protection group in a stretched pod should be used for integrating ActiveCluster with asynchronous snapshot replication. This combination allows for synchronous replication within the stretched pod (using ActiveCluster) while also enabling asynchronous replication to a third site for additional disaster recovery protection.
Why This Matters:
ActiveCluster: Provides synchronous replication between two sites within a stretched pod, ensuring zero RPO and near-zero RTO for high availability.
Async Snapshot Replication: Extends the disaster recovery strategy by replicating snapshots asynchronously to a third site, providing an additional layer of protection against regional failures.
Combining these features ensures both local high availability and remote disaster recovery.
Why Not the Other Options?
B). Using CloudSnap to offload to a third-site target:
CloudSnap is used to offload snapshots to cloud storage (e.g., AWS S3 or Azure Blob). While it is useful for backup purposes, it does not integrate with ActiveCluster for synchronous replication.
C). Initiating ActiveDR failover/failback in a test scenario:
ActiveDR is designed for asynchronous replication and failover/failback scenarios but does not integrate with ActiveCluster in a stretched pod configuration.
D). Configuring fan-out async snapshot replication:
Fan-out replication involves sending snapshots to multiple targets asynchronously. However, this does not align with the use case of integrating ActiveCluster with async replication for a stretched pod.
Key Points:
Stretched Pod: Enables synchronous replication across two sites using ActiveCluster. Async Replication: Adds a third-site replication target for comprehensive disaster recovery. Integrated Protection: Combines high availability and disaster recovery into a single solution.
Reference: Pure Storage FlashArray Documentation: “ActiveCluster with Async Replication” Pure Storage Whitepaper: “Disaster Recovery Strategies with FlashArray” Pure Storage Knowledge Base: “Using Protection Groups in Stretched Pods”

NEW QUESTION 34
After meeting with a potential customer, an SE confirmed the following details:
* The customer’s current workload is 50 TB
* The workload has an expected DRR of 4:1
* The customer’s data has predictable growth rate of 25% per year
* A 20% headroom for any unexpected workloads that may occur in the future When sizing this solution, the SE needs to make sure that the customer will have enough capacity to last 3 years.
Which raw capacity will meet these requirements?

30 TB

56 TB

225 TB

300 TB

NEW QUESTION 35
What is the minimally required FlashArray model that includes the DirectCompress Accelerator (DCA)?

FlashArray//X70 R4

FlashArray//X70 R3

FlashArray//X90 R4

FlashArray//XL130

NEW QUESTION 36
Which Pure Storage offering allows customers to own their array hardware while paying for storage on a subscription basis?

Evergreen//Foundation

Evergreen//One

Evergreen//Flex

Cloud Block Store

NEW QUESTION 37
A customer is unsatisfied because the level of data reduction on their FlashArray is NOT as high as expected.
What two statements should the SE make to the customer? (Choose two.)

A FlashArray’s compression and deduplication will need to be tuned for data subsets.

FlashArray’s deduplication effectiveness will usually increase as the data quantity grows.

FlashArray data reduction needs to be tuned to increase its effectiveness.

The Right-Size Guarantee means that the customer can work with their SE if necessary.

NEW QUESTION 38
A company has two data centers that are 30 miles apart with a round trip latency of 4ms.
What Pure Storage software will allow the lowest RPO disaster recovery strategy between the two data centers?

Purity Snapshot Replication

Purity ActiveCluster

Pure1 Manage

Purity Snapshots

NEW QUESTION 39
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?

Capacity Consolidation

Flat is Fair Maintenance

Right-Size Guarantee

Love Your Storage

NEW QUESTION 40
Refer to the exhibit.

A customer is experiencing latency in the VMware environment connected to this array.
What should the SE recommend?

Add DirectFlash Modules as the system is disk bound

Upgrade the controllers

Add network cards to alleviate network congestion

Check the ESXi host

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.
Reference: 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”

NEW QUESTION 41
What is the return window as defined by the Love Your Storage Guarantee?

15 days

30 days

60 days

90 days

NEW QUESTION 42
Which offering discounts controller upgrades with a purchase of qualifying storage capacity?

Love Your Storage

Right-Size Guarantee

Capacity Consolidation

Ever Agile

NEW QUESTION 43
A customer has presented two workloads that need to be replicated. One is a highly transactional database workload and the other is a VM datastore with tier one applications.
The customer has the following requirements:
* The database workload is highly reliant on storage performance The VM datastore requires zero downtime.
* The customer has advised the two FlashArrays will be 20 miles apart and they are worried that this could impact their internal SLAs.
What replication strategies should be advised for these workloads?

ActiveCluster should be used for both workloads.

ActiveDR should be used for both workloads.

ActiveCluster should be used for the VM workloads and ActiveDR for the database workload.

ActiveDR should be used for the VM workloads and ActiveCluster for the database workload.