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To help prepare for the HPE2-N70 exam, you may want to consider using HPE2-N70 exam dumps questions. These questions are designed to test your knowledge and understanding of the topics covered on the exam. The more you practice answering HPE2-N70 dumps questions, the more comfortable you will become with the exam format and the types of questions you can expect to see. HPE2-N70 dumps can help reduce anxiety on exam day and improve your chances of success. Go and test free HPE2-N70 exam dumps questions here.

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1. Match the following features of HPE GreenLake for Data Fabric with their benefits.

Feature 1: Capacity forecasting tools

Feature 2: Pay-per-use pricing model

Feature 3: Centralized management through GreenLake Central

Feature 4: Integration with hybrid cloud environments

Options:

A) Enables real-time scalability and resource allocation

B) Allows for proactive management and planning of resources

C) Minimizes upfront capital investment

D) Provides a unified interface to manage cloud and on-prem infrastructure

Feature 1: Capacity forecasting tools → B) Allows for proactive management and planning of resources Feature 2: Pay-per-use pricing model → C) Minimizes upfront capital investment Feature 3: Centralized management through GreenLake Central → D) Provides a unified interface to manage cloud and on-prem infrastructure Feature 4: Integration with hybrid cloud environments → A) Enables real-time scalability and resource allocation

Feature 1: Capacity forecasting tools → A) Enables real-time scalability and resource allocation Feature 2: Pay-per-use pricing model → C) Minimizes upfront capital investment Feature 3: Centralized management through GreenLake Central → D) Provides a unified interface to manage cloud and on-prem infrastructure Feature 4: Integration with hybrid cloud environments → B) Allows for proactive management and planning of resources

Feature 1: Capacity forecasting tools → D) Provides a unified interface to manage cloud and on-prem infrastructure Feature 2: Pay-per-use pricing model → C) Minimizes upfront capital investment Feature 3: Centralized management through GreenLake Central → B) Allows for proactive management and planning of resources Feature 4: Integration with hybrid cloud environments → A) Enables real-time scalability and resource allocation

Feature 1: Capacity forecasting tools → C) Minimizes upfront capital investment Feature 2: Pay-per-use pricing model → B) Allows for proactive management and planning of resources Feature 3: Centralized management through GreenLake Central → D) Provides a unified interface to manage cloud and on-prem infrastructure Feature 4: Integration with hybrid cloud environments → A) Enables real-time scalability and resource allocation

2. What is the primary advantage of using HPE Ezmeral Data Fabric for data storage and management?

It only supports structured data.

It provides centralized data storage with no redundancy.

It offers scalability, high availability, and data resilience.

It focuses on real-time data analysis.

3. What is the benefit of using HPE GreenLake’s pay-per-use pricing for Data Fabric solutions?

Improved data integrity

Lower costs with upfront investment

Reduced operational complexity

Financial flexibility by paying only for what is used

4. HPE GreenLake for Data Fabric provides an option for _____.

Full system replacement every 5 years

Capacity management and real-time monitoring

Open-source container management

Limiting access to certain applications

5. What is the first step in troubleshooting node communication failures in HPE Ezmeral Data Fabric?

Check for corrupted files

Verify network configurations and connectivity

Reboot all nodes

Check data replication settings

6. Which HPE technology allows for real-time analytics and processing of data within HPE Ezmeral Data Fabric?

HPE GreenLake

HPE Ezmeral Container Platform

HPE Vertica

HPE StoreOnce

7. In HPE Ezmeral Data Fabric solution design, what is the purpose of workload analysis?

To determine the customer's office layout

To select the data fabric color scheme

To assess the data fabric vendor's reputation

To understand the resource requirements of specific workloads

8. When planning a software-defined storage solution, which factors should be considered for performance optimization? (Select two)

Storage latency

Geographic proximity of data centers

Cost of network infrastructure

Data deduplication rates

9. Which of the following is a key feature of HPE Ezmeral Data Fabric?

Real-time weather forecasting

Artificial intelligence chatbots

Distributed file and object storage

Virtual reality gaming

10. During the implementation of an HPE Ezmeral Data Fabric solution, which command is used to check the status of nodes in the fabric?

maprcli node list

kubectl get nodes

maprcli volume status

docker ps

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11. How does HPE GreenLake for Data Fabric contribute to data center sustainability?

It increases power consumption.

It encourages the use of non-renewable energy sources.

It optimizes resource utilization, reducing waste.

It requires the disposal of old hardware.

12. Which two services does HPE GreenLake provide to assist with compliance and security in Data Fabric deployments? (Select two)

Role-based access control (RBAC)

Data lifecycle management

Embedded encryption protocols

Multi-factor authentication

13. Which component of HPE Ezmeral Data Fabric provides real-time monitoring and management capabilities through a web-based interface?

HPE Ezmeral Fabric Node

HPE Ezmeral Fabric Catalog

HPE Ezmeral Fabric Gateway

HPE Ezmeral Fabric Manager

14. Which characteristics make HPE Ezmeral Data Fabric suitable for big data analytics environments? (Select two)

Unified storage for multiple data types

Vendor lock-in with specific hardware

Support for real-time data processing

Inflexible data migration policies

15. When designing an HPE Ezmeral Data Fabric solution, how should data access and security requirements be addressed?

By ignoring them to simplify the design

By prioritizing them based on their complexity

By involving external consultants

By including them as a key design consideration

16. What benefit does HPE Ezmeral Data Fabric offer in terms of data resilience?

It eliminates the need for data replication.

It centralizes data storage for added resilience.

It relies on third-party data protection solutions.

It provides data replication and distribution for resilience.

17. When designing an HPE Ezmeral Data Fabric solution for a customer with large-scale data requirements, which factor should be prioritized?

Cost of storage hardware

Availability of cloud service providers

Scalability of storage and compute nodes

Latency between data centers

18. How can a technician verify the health and status of individual nodes in an HPE Ezmeral Data Fabric cluster?

By conducting user training sessions

By checking the color of data cables

By using monitoring tools and the HPE Ezmeral Fabric Manager

By configuring network switches

19. In HPE Ezmeral Data Fabric, what role does the "data node" play?

Managing user authentication

Running virtual machines

Performing data analytics

Storing and serving data

20. What is the purpose of testing and validation in the HPE Ezmeral Data Fabric implementation process?

To choose the data cable type

To reduce data replication

To ensure that the solution meets customer requirements

To select network switches

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21. What is the primary focus of HPE Ezmeral Data Fabric in terms of data management?

Data destruction and disposal

Data preservation for archival purposes

Efficient data movement, access, and utilization

Data storage without data processing

22. In HPE Ezmeral Data Fabric solution implementation, what is the purpose of user training?

To configure network switches

To select the hardware vendor

To educate users on data access and management

To choose data cable colors

23. What type of organizations can benefit from HPE GreenLake for Data Fabric?

Only large enterprises

Only government agencies

Organizations of all sizes and industries

Only non-profit organizations

24. What is the primary advantage of SDS in terms of cost savings?

It increases hardware acquisition costs.

It eliminates the need for storage management.

It reduces operational and hardware costs through resource pooling.

It requires expensive proprietary storage devices.

25. Match the following SDS concepts with their descriptions.

Control Plane

Data Plane

Multi-Site Replication

Snapshots

Options:

A) Manages the physical data movement

B) Ensures data availability across locations

C) Takes point-in-time copies of data

D) Centralized management of storage resources

Control Plane → D) Centralized management of storage resources Data Plane → A) Manages the physical data movement Multi-Site Replication → B) Ensures data availability across locations Snapshots → C) Takes point-in-time copies of data

Control Plane → B) Ensures data availability across locations Data Plane → A) Manages the physical data movement Multi-Site Replication → D) Centralized management of storage resources Snapshots → C) Takes point-in-time copies of data

Control Plane → D) Centralized management of storage resources Data Plane → C) Takes point-in-time copies of data Multi-Site Replication → B) Ensures data availability across locations Snapshots → A) Manages the physical data movement

Control Plane → C) Takes point-in-time copies of data Data Plane → A) Manages the physical data movement Multi-Site Replication → B) Ensures data availability across locations Snapshots → D) Centralized management of storage resources

26. What is the significance of documenting maintenance and troubleshooting procedures for an HPE Ezmeral Data Fabric Solution?

To select data cable types

To choose the right data cable colors

To provide a reference for future troubleshooting and training

To configure network switches

27. What role does data classification play in designing an HPE Ezmeral Data Fabric solution?

It determines the color of data cables used.

It helps prioritize data access and security requirements.

It defines the physical location of data servers.

It specifies the number of virtual machines needed.

28. What does the term "Ezmeral" in HPE Ezmeral Data Fabric represent?

A type of data encryption algorithm

A reference to cloud-based services

A combination of "easy" and "emerald," symbolizing simplicity and value

A proprietary data compression technology

29. What is the purpose of using Grafana in conjunction with HPE Ezmeral Data Fabric?

To automate data replication between nodes

To visualize performance metrics for monitoring purposes

To provide backup scheduling options

To compress data in real time

30. How does HPE Ezmeral Data Fabric handle data replication across multiple nodes?

Through synchronous replication only

By leveraging cloud providers' replication mechanisms

Through multi-site replication

By replicating data to external databases

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31. What is the default replication factor for volumes in HPE Ezmeral Data Fabric?

32. Which technology is commonly used for data virtualization and resource pooling in HPE Ezmeral Data Fabric?

Storage virtualization

Quantum computing

Blockchain

Augmented reality

33. What are the key steps involved in deploying an HPE Ezmeral Data Fabric solution? (Select two)

Install the control plane

Set up persistent volumes on all nodes

Assign roles to specific storage nodes

Perform a backup of all data prior to the deployment

34. What role does SDS play in data redundancy and data protection?

It reduces data redundancy to save storage space.

It centralizes all data protection mechanisms.

It simplifies data replication and redundancy management.

It eliminates the need for data protection.

35. How does HPE Ezmeral Data Fabric support rolling upgrades and maintenance without system downtime?

By requiring manual hardware installation

By selecting specific hardware vendors

By enabling software updates and node replacements while the system is running

By configuring data encryption settings

36. Which technology is used to ensure data resilience and high availability in HPE Ezmeral Data Fabric?

Blockchain

Distributed file systems and replication

Quantum computing

Augmented reality

37. In the context of HPE Ezmeral Data Fabric design, what is the purpose of a proof of concept (POC)?

To finalize the project budget

To showcase the solution's capabilities to stakeholders

To select the hardware vendor

To create a production-ready environment

38. What is the key consideration when selecting the appropriate storage nodes for an HPE Ezmeral Data Fabric solution?

Number of users accessing the data

Latency requirements for real-time analytics

Network bandwidth between data centers

Storage availability in cloud regions

39. Which concept does HPE Ezmeral Data Fabric rely on for efficient data access and management across geographically dispersed locations?

Data consolidation

Data silos

Data segregation

Data locality

40. When monitoring data replication in an HPE Ezmeral Data Fabric environment, what should be checked to ensure data consistency?

Node CPU usage

Disk write speed

Replication lag time

Memory usage of nodes

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41. Which factor should be considered when planning the implementation timeline for an HPE Ezmeral Data Fabric solution?

The customer's preferred data fabric color

The availability of network switches

The complexity of data migration

The number of virtual machines

42. Which factor should be considered when determining the scalability of the HPE Ezmeral Data Fabric solution?

The color of the data cables

The number of employees in the organization

The projected data growth rate

The location of the customer's offices

43. What are the primary objectives when designing a disaster recovery (DR) solution with HPE Ezmeral Data Fabric? (Select two)

Minimizing the recovery time objective (RTO)

Limiting data recovery to critical systems

Ensuring multi-cloud data replication

Reducing storage costs for backup data

44. What is the role of the HPE Ezmeral Fabric Catalog?

Managing user authentication

Storing and managing metadata and data locations

Providing network optimization services

Running virtual machines

45. Which technology is commonly used in SDS to virtualize and pool storage resources from different hardware devices?

Artificial intelligence

Blockchain

Storage virtualization

Quantum computing

46. Which of the following is a key feature of HPE GreenLake for Data Fabric?

On-premises resource allocation only

Single-region data deployment

Integration with cloud-native storage platforms

Fixed storage capacity

47. What is the purpose of routine data integrity checks during maintenance of HPE Ezmeral Data Fabric?

To select specific hardware vendors

To choose the right data cable colors

To ensure data consistency and reliability

To configure data encryption settings

48. Which feature allows HPE Ezmeral Data Fabric to handle both structured and unstructured data?

Multi-site replication

Object storage interface

POSIX compliance

Unified storage architecture

49. What is the primary benefit of SDS in terms of data mobility?

It restricts data movement between different locations.

It allows data to be easily moved between different storage devices and locations.

It requires physical data transfer for data mobility.

It doesn't support data migration.

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