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최신 FlashArray Architect Associate FAAA_004 무료샘플문제 (Q56-Q61):
질문 # 56
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. Capacity consolidation and cloning
- B. Snapshot cleanup and garbage collection
- C. Deep deduplication and deep compression
- D. RAID-HA protection and AES-256 encryption
정답:C
설명:
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"
질문 # 57
Which Pure Storage offering can be deployed in AWS?
- A. Cloud Block Store
- B. ObjectEngine
- C. CloudSnap
정답:A
설명:
The Pure Storage offering that can be deployed in AWS is Cloud Block Store .
Why This Matters:
Cloud Block Store:
Cloud Block Store is a cloud-native block storage solution that runs in public clouds like AWS and Azure.
It provides enterprise-grade storage features, including deduplication, compression, and thin provisioning, while seamlessly integrating with on-premises FlashArray environments.
Why Not the Other Options?
A . ObjectEngine:
ObjectEngine is a backup and recovery solution designed for rapid restores and backups. It is not a storage solution that can be deployed in AWS.
C . CloudSnap:
CloudSnap is a feature that offloads snapshots to cloud storage (e.g., AWS S3 or Azure Blob). It is not a standalone storage solution but rather a feature of FlashArray.
Key Points:
Cloud Block Store: Provides block storage in AWS with enterprise-grade features.
Integration: Seamlessly integrates with on-premises FlashArray environments for hybrid cloud architectures.
Scalability: Enables scalable and cost-effective storage in the cloud.
Reference:
Pure Storage Cloud Block Store Documentation: "Deploying Cloud Block Store in AWS" Pure Storage Whitepaper: "Hybrid Cloud Architectures with FlashArray and Cloud Block Store" Pure Storage Knowledge Base: "Cloud Block Store Use Cases and Deployment"
질문 # 58
Refer to the exhibit.
Which FlashArray controller(s) does the exhibit show?
- A. Top: CTO, Bottom: CT1
- B. Top: Primary, Bottom: Secondary
- C. Top: CT1, Bottom: CT2
정답:C
설명:
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"
질문 # 59
Which two public cloud storage services are supported as offload targets for Purity CloudSnap? (Choose two.)
- A. Azure Blob Storage
- B. Amazon AWS S3
- C. IBM Object Storage
- D. Amazon AWS EBS
정답:A,B
설명:
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.
질문 # 60
Which Pure Storage offering allows customers to own their array hardware while paying for storage on a subscription basis?
- A. Evergreen//One
- B. Evergreen//Flex
- C. Cloud Block Store
- D. Evergreen//Foundation
정답:B
설명:
The Evergreen//Flex offering allows customers to own their array hardware while paying for storage on a subscription basis .
Why This Matters:
Evergreen//Flex:
This model combines the benefits of ownership with the flexibility of a subscription. Customers own the hardware outright but pay for storage capacity and services (e.g., maintenance, upgrades) on a subscription basis.
It provides predictable costs and access to Pure Storage's Evergreen architecture, ensuring long-term value and future-proofing.
Why Not the Other Options?
A . Evergreen//Foundation:
Evergreen//Foundation is a traditional purchase model where customers buy the hardware and software upfront. It does not involve a subscription-based payment structure.
B . Evergreen//One:
Evergreen//One is a fully managed subscription service where customers do not own the hardware. Instead, they lease the equipment and pay for storage as a service.
D . 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 involve owning on-premises hardware.
Key Points:
Ownership: Customers retain ownership of the hardware.
Subscription Flexibility: Pay for storage and services on a subscription basis.
Predictable Costs: Aligns with budgeting and financial planning goals.
Reference:
Pure Storage Evergreen//Forever Documentation: "Understanding Evergreen//Flex" Pure Storage Whitepaper: "Maximizing Value with Evergreen Subscriptions" Pure Storage Knowledge Base: "How Evergreen//Flex Works"
질문 # 61
......
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