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Pure Storage FAAA_004資格認定試験: Pure Storage FlashArray Architect Associate - JPTestKingいつでも無料ダウンロード
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Pure Storage FlashArray Architect Associate 認定 FAAA_004 試験問題 (Q19-Q24):
質問 # 19
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?
- A. Run both workloads on the current FlashArray
- B. NDU the FlashArray //X to a //XL and run both workloads there
- C. Add another disk pool for file storage to their current FlashArray
- D. Purchase an entry level FlashBlade for the file workload
正解:A
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 # 20
Which two public cloud storage services are supported as offload targets for Purity CloudSnap? (Choose two.)
- A. IBM Object Storage
- B. Amazon AWS S3
- C. Azure Blob Storage
- D. Amazon AWS EBS
正解:B、C
解説:
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.
Reference:
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.
質問 # 21
What is the fastest way to duplicate volume data for a test/dev environment?
- A. Use a backup copy
- B. Mount the snapshot to a development host
- C. Restore from a volume snapshot
- D. Make a volume copy
正解:B
解説:
The fastest way to duplicate volume data for a test/dev environment is to mount the snapshot to a development host . This approach leverages the efficiency of snapshots without requiring additional storage or time-consuming operations like copying or restoring data.
Why This Matters:
Snapshots:
Snapshots are space-efficient, point-in-time copies of a volume that do not consume additional storage until changes are made to the original data.
Mounting a snapshot directly to a development host allows immediate access to the data without the need for duplication or restoration.
Speed and Efficiency:
Mounting a snapshot is significantly faster than creating a full copy or restoring from a backup, as it avoids the overhead of data movement or replication.
Why Not the Other Options?
A . Use a backup copy:
Restoring data from a backup is time-consuming and requires additional storage. It is not the fastest method for duplicating data.
B . Make a volume copy:
Creating a full volume copy consumes additional storage and takes longer than mounting a snapshot.
C . Restore from a volume snapshot:
Restoring from a snapshot involves writing data back to the original volume, which is slower than simply mounting the snapshot for read-only or writable access.
Key Points:
Snapshots: Provide fast, space-efficient access to data for test/dev environments.
Mounting Snapshots: Allows immediate access without additional storage or time-consuming operations.
Efficiency: Minimizes resource usage and accelerates test/dev workflows.
Reference:
Pure Storage FlashArray Documentation: "Using Snapshots for Test/Dev Environments" Pure Storage Whitepaper: "Best Practices for Managing Test/Dev Workloads" Pure Storage Knowledge Base: "Mounting Snapshots to Hosts"
質問 # 22
A Storage Administrator has two //X50R3 FlashArrays. The two FlashArrays are located in different data centers with a network link between them. The ethernet link between data centers has a latency of 35 ms.
Which Purity feature will provide protection against a site failure with the lowest recovery point?
- A. Local snapshots
- B. ActiveDR
- C. Snapshot replication
- D. ActiveCluster
正解:B
解説:
Given that the two FlashArrays are located in different data centers with a network link latency of 35 ms , the best Purity feature to provide protection against a site failure with the lowest recovery point is ActiveDR .
Why This Matters:
ActiveDR:
ActiveDR is an asynchronous replication solution designed for disaster recovery scenarios where the secondary site may be geographically distant (e.g., >10 ms latency).
It provides low RPOs (typically seconds to minutes) and supports fast failover and failback capabilities, ensuring minimal data loss and downtime.
With a 35 ms latency between sites, synchronous replication (e.g., ActiveCluster) is not feasible due to the high latency impacting performance.
Why Not the Other Options?
A . ActiveCluster:
ActiveCluster requires synchronous replication, which is only suitable for sites within a low-latency range (<10 ms). At 35 ms latency, ActiveCluster would cause significant performance degradation.
C . Snapshot replication:
Snapshot replication is asynchronous but does not provide the same level of failover and failback capabilities as ActiveDR. It is better suited for backup purposes rather than disaster recovery with low RPOs.
D . Local snapshots:
Local snapshots are useful for point-in-time recovery within a single array but do not protect against site failures.
Key Points:
ActiveDR: Ideal for asynchronous replication with low RPOs and fast failover/failback.
Latency Considerations: ActiveDR supports higher latencies (e.g., 35 ms) compared to synchronous solutions like ActiveCluster.
Disaster Recovery: Ensures protection against site failures with minimal data loss and downtime.
Reference:
Pure Storage FlashArray Documentation: "ActiveDR for Disaster Recovery" Pure Storage Whitepaper: "Meeting RPO and RTO Requirements with FlashArray" Pure Storage Knowledge Base: "Choosing the Right Replication Solution for High Latency"
質問 # 23
What does Pure Storage's Right-Size Guarantee promise?
- A. The performance of the FlashArray model
- B. The customer's Total Efficiency Ratio
- C. The effective capacity of the FlashArray
- D. The Data Reduction Rate by workload
正解:C
解説:
Pure Storage's Right-Size Guarantee promises the effective capacity of the FlashArray , ensuring that customers receive the logical capacity they expect based on their workload's data reduction profile.
Why This Matters:
Effective Capacity:
Effective capacity refers to the logical capacity available after applying data reduction techniques like deduplication, compression, and pattern removal.
The Right-Size Guarantee ensures that customers achieve the expected effective capacity for their workloads, aligning with Pure Storage's commitment to delivering predictable and reliable storage solutions.
Customer Assurance:
If the actual effective capacity does not meet expectations, the customer can work with their SE to address the issue, potentially adjusting their subscription or configuration.
Why Not the Other Options?
A . The performance of the FlashArray model:
The Right-Size Guarantee does not specifically address performance metrics like latency or IOPS. It focuses on capacity-related assurances.
C . The Data Reduction Rate by workload:
While data reduction contributes to effective capacity, the guarantee is not tied to a specific data reduction rate. Instead, it ensures the overall effective capacity meets expectations.
D . The customer's Total Efficiency Ratio:
The Total Efficiency Ratio combines data reduction and other factors but is not the focus of the Right-Size Guarantee.
Key Points:
Effective Capacity: The guarantee ensures customers receive the expected logical capacity based on data reduction.
Data Reduction Techniques: Deduplication, compression, and pattern removal contribute to effective capacity.
Customer Support: Customers can collaborate with their SE if the guaranteed capacity is not achieved.
Reference:
Pure Storage Evergreen//Forever Documentation: "Understanding the Right-Size Guarantee" Pure Storage Whitepaper: "Maximizing Data Reduction with FlashArray" Pure Storage Knowledge Base: "Right-Size Guarantee Terms and Conditions"
質問 # 24
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