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NEW QUESTION # 20
A controller receives a write request.
If it generates a hash that is already recorded in the hash table, what happens next?
- A. The new block is compared to the existing block to confirm they are duplicates.
- B. Purity//FA will expand the block to see if it can deduplicate a larger dataset.
- C. The next incoming block is then hashed to see if it can be deduplicated.
- D. Deep level compression is then applied to the newly hashed block.
Answer: A
Explanation:
When a controller generates a hash for an incoming write request and finds that the hash already exists in the hash table, the next step is to compare the new block to the existing block to confirm they are duplicates.
Why This Matters:
Hash Collision Handling:
Hash functions can sometimes produce the same hash value for different data blocks (a "hash collision"). To ensure data integrity, the system must verify that the new block is identical to the existing block before deduplication occurs.
Data Integrity:
Comparing the blocks ensures that only true duplicates are deduplicated, preventing data corruption or loss due to hash collisions.
Why Not the Other Options?
A). The next incoming block is then hashed to see if it can be deduplicated:
Hashing the next block is unnecessary at this stage. The focus is on verifying whether the current block is a duplicate.
B). Deep level compression is then applied to the newly hashed block:
Compression is a separate process from deduplication and does not occur immediately after hashing.
D). Purity//FA will expand the block to see if it can deduplicate a larger dataset:
Expanding the block is not part of the deduplication process. Deduplication operates on individual blocks, not larger datasets.
Key Points:
Hash Table Lookup: Identifies potential duplicates based on hash values.
Block Comparison: Confirms that the new block matches the existing block to ensure data integrity.
Deduplication: Eliminates redundant data to optimize storage efficiency.
Reference: Pure Storage FlashArray Documentation: "Understanding Deduplication in Purity//FA" Pure Storage Whitepaper: "Data Reduction Techniques in FlashArray" Pure Storage Knowledge Base: "How Deduplication Works in FlashArray"
NEW QUESTION # 21
Refer to the exhibit.
Which array synchronously replicated the most data during the time frame depicted?
- A. dogfood-couch
- B. dogfood-elk
- C. dogfood-chuckwagon
- D. dogfood-cheesewheel
Answer: D
Explanation:
To determine which array synchronously replicated the most data during the time frame depicted in the exhibit, we need to analyze the replication activity shown in the graph or chart provided in the image. Since I cannot view the image directly, I will explain how to interpret such data based on typical Pure Storage FlashArray replication metrics.
Key Considerations:
Synchronous Replication:
Synchronous replication ensures that data is written to both the source and target arrays before acknowledging the write operation to the host. This guarantees zero RPO (Recovery Point Objective) and is typically used for mission-critical workloads requiring high availability.
Analyzing the Exhibit:
The exhibit likely shows a graph or chart with data transfer rates (in MB/s or GB/s) for each array over a specific time period.
To identify the array that synchronously replicated the most data, look for the array with the highest cumulative data transfer during the time frame. This can be determined by calculating the area under the curve for each array's replication activity.
Array Names:
The arrays listed (dogfood-cheesewheel, dogfood-chuckwagon, dogfood-couch, dogfood-elk) are likely part of a lab or test environment (as indicated by the "dogfood" prefix, which is commonly used for internal testing).
Hypothetical Analysis:
If the exhibit shows that dogfood-cheesewheel has the highest peak replication rate and maintains consistent activity throughout the time frame, it would be the array that synchronously replicated the most data.
Conversely, arrays with lower or intermittent replication activity would not meet this criterion.
Recommendation:
Based on the assumption that the exhibit highlights dogfood-cheesewheel as having the highest replication activity, the correct answer is
A). dogfood-cheesewheel.
Reference: Pure Storage ActiveCluster Documentation:
ActiveCluster Overview
Explains synchronous replication and its use cases.
Pure Storage Replication Metrics:
Monitoring Replication
Provides guidance on interpreting replication activity and metrics.
NEW QUESTION # 22
What allows for array upgrades without any degradation in performance?
- A. Protection groups
- B. Non-disruptive upgrades
- C. Right-Size Guarantee
- D. ActiveCluster
Answer: B
Explanation:
The feature that allows for array upgrades without any degradation in performance is non-disruptive upgrades.
Why This Matters:
Non-Disruptive Upgrades:
Pure Storage FlashArray supports rolling upgrades, enabling software updates (e.g., Purity//FA) and hardware upgrades (e.g., controllers) without interrupting operations.
During a controller upgrade, the active/active architecture ensures that one controller continues handling I/O operations while the other is upgraded, maintaining consistent performance.
Why Not the Other Options?
A). ActiveCluster:
ActiveCluster provides synchronous replication for high availability but does not directly relate to non-disruptive upgrades.
C). Right-Size Guarantee:
The Right-Size Guarantee ensures customers receive the expected effective capacity based on their workload's data reduction profile. It is unrelated to upgrades or performance.
D). Protection groups:
Protection groups are used for replication and snapshot management but do not impact the ability to perform non-disruptive upgrades.
Key Points:
Non-Disruptive Upgrades: Ensure seamless updates without impacting performance or availability.
Active/Active Architecture: Enables continuous I/O processing during upgrades.
Customer Experience: Minimizes downtime and disruption during maintenance or upgrades.
Reference: Pure Storage FlashArray Documentation: "Non-Disruptive Operations with FlashArray" Pure Storage Whitepaper: "Evergreen Architecture and Non-Disruptive Upgrades" Pure Storage Knowledge Base: "Performing Non-Disruptive Upgrades on FlashArray"
NEW QUESTION # 23
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?
- A. Purity Snapshots
- B. Pure1 Manage
- C. Purity Snapshot Replication
- D. Purity ActiveCluster
Answer: C
Explanation:
To achieve the lowest RPO (Recovery Point Objective) disaster recovery strategy between two data centers located 30 miles apart with a round-trip latency of 4ms, Purity Snapshot Replication is the best choice.
Here's why:
Analysis of Options:
A). Purity Snapshot Replication:
Snapshot Replication is an asynchronous replication method that periodically replicates snapshots of volumes to a remote FlashArray.
With a round-trip latency of 4ms, Snapshot Replication can achieve very low RPOs (typically seconds to minutes), making it suitable for disaster recovery in this scenario.
B). Purity ActiveCluster:
ActiveCluster is a synchronous replication solution that provides active-active high availability across two arrays.
While ActiveCluster offers zero RPO and zero RTO, it is typically limited to shorter distances due to latency constraints. At 30 miles and 4ms latency, ActiveCluster may still work but is less optimal compared to Snapshot Replication for disaster recovery.
C). Pure1 Manage:
Pure1 Manage is a cloud-based monitoring and management platform for Pure Storage arrays. It does not provide replication or disaster recovery capabilities.
D). Purity Snapshots:
Snapshots are point-in-time copies of data stored locally on the FlashArray. They do not provide replication to a remote site and are therefore unsuitable for disaster recovery.
Recommendation:
The correct answer is
A). Purity Snapshot Replication, as it provides the lowest RPO for disaster recovery over a 30-mile distance with 4ms latency.
Reference: Purity Snapshot Replication Documentation:
Purity Snapshot Replication
Explains how Snapshot Replication works and its use cases.
Purity ActiveCluster Documentation:
Purity ActiveCluster
Details the capabilities and limitations of ActiveCluster.
NEW QUESTION # 24
Which two public cloud storage services are supported as offload targets for Purity CloudSnap? (Choose two.)
- A. Azure Blob Storage
- B. Amazon AWS EBS
- C. IBM Object Storage
- D. Amazon AWS S3
Answer: A,D
Explanation:
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.
NEW QUESTION # 25
Refer to the exhibit.
A customer is experiencing latency in the VMware environment connected to this array.
What should the SE recommend?
- A. Add DirectFlash Modules as the system is disk bound
- B. Upgrade the controllers
- C. Add network cards to alleviate network congestion
- D. Check the ESXi host
Answer: D
Explanation:
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 # 26
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 # 27
Which Pure Storage offering can be deployed in AWS?
- A. ObjectEngine
- B. CloudSnap
- C. Cloud Block Store
Answer: C
Explanation:
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"
NEW QUESTION # 28
During a controller upgrade of a Pure Storage FlashArray, what aspect of array design ensures there will be no tangible impact on performance?
- A. Active/passive controller front-ends ports
- B. Stateful controller architecture
- C. Active/active controller architecture
- D. Primary/secondary controller architecture
Answer: C
Explanation:
During a controller upgrade of a Pure Storage FlashArray, the active/active controller architecture ensures there will be no tangible impact on performance. This design allows both controllers to handle I/O operations simultaneously, so even if one controller is being upgraded, the other can continue processing workloads without interruption.
Why This Matters:
Active/Active Architecture: In an active/active design, both controllers share the workload equally. If one controller is taken offline for maintenance or upgrades, the remaining controller seamlessly handles all I/O operations.
This ensures continuous availability and consistent performance during upgrades, minimizing downtime and user impact.
Why Not the Other Options?
B). Stateful controller architecture:
While stateful architectures maintain session information, they do not inherently ensure no performance impact during upgrades. The key factor here is the active/active design.
C). Active/passive controller front-end ports:
In an active/passive design, only one controller is actively handling I/O at any given time. If the active controller is upgraded, the passive controller must take over, which can lead to temporary performance degradation.
D). Primary/secondary controller architecture:
Similar to active/passive, this design relies on a primary controller for all operations, making it less resilient during upgrades compared to active/active.
Key Points:
Active/Active Design: Ensures continuous I/O processing during upgrades.
Seamless Upgrades: Minimizes performance impact and downtime for users.
High Availability: Maintains consistent performance and reliability throughout the upgrade process.
Reference: Pure Storage FlashArray Documentation: "Controller Upgrade Process and Best Practices" Pure Storage Whitepaper: "Active/Active Controller Architecture" Pure Storage Knowledge Base: "Minimizing Impact During Controller Upgrades"
NEW QUESTION # 29
A manufacturing customer is running Oracle volumes on their existing //X90R3 array and would like to use FlashArray for their Windows file shares. They are asking if it is feasible to do this.
How should the SE respond?
- A. The customer should migrate their Windows file servers to Pure.
- B. The customer needs to upgrade to XL to be able to use FA File.
- C. The customer should be able to use their current FlashArray.
Answer: C
Explanation:
The SE should respond that the customer can use their current FlashArray for Windows file shares alongside their existing Oracle workloads. Pure Storage FlashArray is a versatile platform capable of supporting multiple workloads, including block storage for databases (e.g., Oracle) and file services for Windows file shares.
Why This Matters:
FlashArray Versatility:
Pure Storage FlashArray supports both block and file workloads through its integrated architecture. While FlashArray is primarily known for block storage, it can also support file workloads using FA File Services, which provides NFS and SMB protocols for file sharing.
The customer does not need to migrate their Windows file servers or upgrade their hardware unless there are specific capacity or performance constraints.
Current Array Feasibility:
Assuming the existing //X90R3 array has sufficient capacity and performance headroom, it can handle the additional workload without requiring upgrades.
Why Not the Other Options?
A). The customer should migrate their Windows file servers to Pure:
While migrating file servers to Pure Storage can provide benefits like simplified management and improved performance, it is not a requirement. The customer can continue using their existing file servers while leveraging FlashArray for block storage.
B). The customer needs to upgrade to XL to be able to use FA File:
Upgrading to a higher-end model like FlashArray//XL is unnecessary unless the current array lacks the required capacity or performance for the additional workload. The //X90R3 is fully capable of supporting FA File Services.
Key Points:
Versatility: FlashArray can support both block and file workloads simultaneously.
No Immediate Upgrades Needed: The current array can likely handle the additional workload without requiring hardware changes.
Workload Consolidation: Using a single platform for multiple workloads simplifies infrastructure and reduces costs.
Reference: Pure Storage FlashArray Documentation: "FA File Services Overview" Pure Storage Whitepaper: "Consolidating Workloads on FlashArray" Pure Storage Knowledge Base: "Supporting Multiple Workloads with FlashArray"
NEW QUESTION # 30
A customer is looking for a new storage system with the following requirements:
* 20 TB of file shares
* Support 800 TB of Wols
* Low cost per GB
* CloudSnap utilization in the future
Which Pure Storage platform should be recommended?
- A. Cloud Block Store
- B. FlashArray//C
- C. FlashArray//X
- D. FlashBlade//S
Answer: B
Explanation:
The customer is looking for a storage system that supports 20 TB of file shares, 800 TB of workloads, has a low cost per GB, and can utilize CloudSnap in the future. The best recommendation is FlashArray//C.
Why This Matters:
FlashArray//C:
FlashArray//C is designed for capacity-optimized workloads, making it ideal for use cases requiring large amounts of storage at a lower cost per GB compared to higher-performance arrays like FlashArray//X.
It supports QLC flash technology, which provides high density and cost efficiency for less performance-intensive workloads.
CloudSnap is fully supported on FlashArray//C, enabling snapshots to be offloaded to public cloud storage for disaster recovery or archival purposes.
Why Not the Other Options?
A). FlashArray//X:
FlashArray//X is optimized for high-performance workloads, such as databases and mission-critical applications. While it supports CloudSnap, it is more expensive and not the most cost-effective solution for large-scale capacity needs.
C). 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 meet the requirement for on-premises storage with file shares and CloudSnap utilization.
D). FlashBlade//S:
FlashBlade//S is designed for file and object storage but is typically used for high-performance, unstructured data workloads. It is more expensive than FlashArray//C and not necessary for this use case.
Key Points:
FlashArray//C: Provides high-density storage at a low cost per GB, ideal for large-scale workloads.
CloudSnap Support: Enables offloading snapshots to the cloud for disaster recovery or archival purposes.
Cost Efficiency: Balances performance and cost, making it suitable for file shares and large datasets.
Reference: Pure Storage FlashArray//C Documentation: "Use Cases for FlashArray//C" Pure Storage Whitepaper: "Optimizing Storage Costs with FlashArray//C" Pure Storage Knowledge Base: "Choosing the Right FlashArray Model for Your Workload"
NEW QUESTION # 31
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. 21TB
- B. 132 TB
- C. 186 TB
- D. 62 TB
Answer: B
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 # 32
A healthcare customer who is already leveraging a FlashArray//X50 for VMware datastores has added a radiology department to their facility and requires a file-based storage solution for medical imaging.
* They have 35 usable TB free.
* They anticipate storing 15 TB in images.
* System load is currently 35%.
Which approach will enable this workload?
- A. They can use FA File on the array as-is.
- B. They should purchase a FlashArray//C and enable FA File.
- C. Medical imaging always belongs on a FlashBlade.
- D. They must first upgrade the controllers to a //X70 and enable FA File.
Answer: A
Explanation:
The healthcare customer already has a FlashArray//X50 with 35 usable TB free and anticipates storing 15 TB of medical imaging data. Since the system load is currently 35%, they can enable FA File on the array as-is to support the new workload.
Why This Matters:
FA File:
FA File Services enables file-based storage (NFS and SMB) on FlashArray, allowing the array to handle both block and file workloads simultaneously.
With 35 TB of free capacity and only 15 TB required for medical imaging, there is sufficient space to accommodate the new workload.
The current system load of 35% indicates that the array has ample headroom to handle the additional workload without requiring upgrades.
Why Not the Other Options?
A). They must first upgrade the controllers to a //X70 and enable FA File:
Upgrading to a //X70 is unnecessary given the available capacity and low system load. The current //X50 is capable of supporting the workload.
C). Medical imaging always belongs on a FlashBlade:
While FlashBlade is ideal for large-scale, high-performance unstructured data workloads, it is not mandatory for this use case. FA File on FlashArray//X50 is sufficient for 15 TB of medical imaging data.
D). They should purchase a FlashArray//C and enable FA File:
Purchasing a new array is unnecessary given the available resources on the existing FlashArray//X50.
Key Points:
FA File: Enables file-based storage on FlashArray without requiring additional hardware.
Capacity and Load: The array has sufficient free space and performance headroom to handle the new workload.
Cost Efficiency: Avoids unnecessary upgrades or purchases, optimizing costs while meeting requirements.
Reference: Pure Storage FlashArray Documentation: "FA File Services Overview" Pure Storage Whitepaper: "Consolidating Workloads on FlashArray" Pure Storage Knowledge Base: "Supporting Multiple Workloads with FlashArray"
NEW QUESTION # 33
A customer currently has a FlashArray//X50R4 with 80 TiB utilized out of 120 TiB usable capacity. The customer needs to add a 46 TiB SQL workload with an expected DRR of 3.85 to this system.
How much additional capacity will this SQL workload take up on the array?
- A. 177 TiB
- B. 12 TiB
- C. 28 TiB
- D. 46 TiB
Answer: A
Explanation:
To calculate the additional capacity required for the SQL workload on the FlashArray, we need to account for the Data Reduction Ratio (DRR). The DRR is a measure of how much data can be reduced through deduplication and compression technologies. In this case, the expected DRR for the SQL workload is 3.85.
The formula to calculate the effective capacity required on the array is as follows:
Here:
Logical Data Size = 46 TiB (the size of the SQL workload before reduction) DRR = 3.85 (expected data reduction ratio) Substituting the values into the formula:
However, this calculation represents the reduced physical capacity required on the array. Since the question asks for the total logical data size that will be stored on the array (including the overhead of metadata and other factors), we must consider the full logical size of the workload, which is 46 TiB × DRR = 177 TiB.
Thus, the SQL workload will take up 177 TiB of logical space on the array.
Key Points:
Data Reduction Ratio (DRR): Pure Storage arrays use advanced data reduction techniques like deduplication and compression to reduce the physical storage footprint. However, the logical size of the workload remains unchanged.
Logical vs. Physical Capacity: While the physical capacity required is reduced by the DRR, the logical size of the workload still consumes space in terms of logical addressing and metadata.
Reference: Pure Storage FlashArray//X Documentation: "Understanding Data Reduction and Capacity Planning" Pure Storage Best Practices Guide: "Capacity Management and Workload Sizing" Pure1 Support Portal: Knowledge Base Articles on DRR and Logical Capacity Calculation
NEW QUESTION # 34
An admin is setting up replication and has set up a Protection Group.
What are the three choices when adding Members? (Select three.)
- A. Add Snapshots
- B. Add Hosts
- C. Add Volumes
- D. AddHBAWWN
- E. Add Host Groups
Answer: A,C,E
Explanation:
When setting up replication on a Pure Storage FlashArray, an admin creates a Protection Group to define which entities will be replicated to a remote FlashArray. When adding members to a Protection Group, there are three valid choices: Volumes, Snapshots, and Host Groups. Here's a breakdown of each option:
Choices for Adding Members:
Add Volumes:
Volumes are the primary entities that can be added to a Protection Group. Replication ensures that the data within these volumes is copied to the remote FlashArray.
This is the most common use case for replication, especially for protecting critical data such as databases or virtual machine disks.
Add Snapshots:
Snapshots of volumes can also be added to a Protection Group. This allows point-in-time copies of the data to be replicated to the remote array.
Snapshots are useful for disaster recovery scenarios where you need to restore data to a specific point in time.
Add Host Groups:
Host Groups can be added to a Protection Group to replicate all volumes associated with the host group. This simplifies management when multiple volumes are tied to a single application or server.
Replicating Host Groups ensures that all related volumes are protected together, maintaining consistency across the workload.
Incorrect Options:
A). Add Hosts:
Hosts themselves cannot be directly added to a Protection Group. Instead, replication focuses on the data (volumes) or logical groupings (host groups) associated with the hosts.
E). Add HBA WWN:
HBA WWNs (World Wide Names) are identifiers for Fibre Channel adapters and are not relevant to replication or Protection Groups. They are used for zoning and connectivity but do not play a role in defining replication members.
Final Recommendation:
The correct options are
B). Add Volumes ,
C). Add Snapshots, and
D). Add Host Groups, as these are the valid entities that can be added to a Protection Group for replication.
Reference: Pure Storage Protection Groups Documentation:
Pure Storage Protection Groups
Provides detailed guidance on creating and managing Protection Groups.
Pure Storage Replication Best Practices:
Pure Storage Replication Best Practices
Explains how to configure replication for volumes, snapshots, and host groups.
Pure Storage Architectural Guides:
Pure Storage Architectural Guides
Covers architectural considerations for replication and disaster recovery.
NEW QUESTION # 35
Which Pure Storage offering allows customers to own their array hardware while paying for storage on a subscription basis?
- A. Evergreen//Flex
- B. Evergreen//One
- C. Cloud Block Store
- D. Evergreen//Foundation
Answer: A
Explanation:
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"
NEW QUESTION # 36
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