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Pure Storage FlashArray Architect Associate Sample Questions (Q59-Q64):

NEW QUESTION # 59
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.)

A. CloudSnap
B. ActiveDR
C. ActiveCluster
D. FlashRecover

Answer: B,D

Explanation:
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 # 60
The customer asks if the FlashArray is suitable for a cloud-native application that utilizes containers and Kubernetes.
Which response addresses this question?

A. This is not supported with FlashArray and this application data will need to be stored on a different array.
B. This is supported via an installable CSI provider specifically for the FlashArray.
C. This is supported and Pure uses a software layer that is only compatible with DAS storage in Kubernetes.
D. This is supported via Pure's Portworx offering.

Answer: D

Explanation:
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 # 61
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?

A. 62 TB
B. 21TB
C. 132 TB
D. 186 TB

Answer: C

Explanation:
To calculate the minimum storage capacity required to handle the Oracle workload, we need to account for the thick-provisioned storage requirement and the expected data reduction ratio (DRR).
Step-by-Step Calculation:
Logical Storage Requirement:
The application requires 398 TB of thick-provisioned storage from the host.
Data Reduction Ratio (DRR):
The DRR is 3:1, meaning the physical storage required is:
Recommendation:
The SE should propose 132 TB of physical storage, as it meets the requirement after accounting for data reduction.
Final Recommendation:
The correct answer is
A). 132 TB.
Reference: Capacity Planning Guide:
Pure Storage Capacity Planning
Provides guidance on calculating usable capacity based on data reduction ratios.
Thick vs. Thin Provisioning:
Provisioning Best Practices
Explains the differences between thick and thin provisioning.

NEW QUESTION # 62
Refer to the exhibit.

Which FlashArray controller(s) does the exhibit show?

A. Top: Primary, Bottom: Secondary
B. Top: CTO, Bottom: CT1
C. Top: CT1, Bottom: CT2

Answer: C

Explanation:
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"

NEW QUESTION # 63
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?

A. RAID-HA protection and AES-256 encryption
B. Capacity consolidation and cloning
C. Deep deduplication and deep compression
D. Snapshot cleanup and garbage collection

Answer: C

Explanation:
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 # 64
......

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