Practice Free HPE2-N70 Exam Online Questions
Which maintenance task should be regularly performed to ensure data consistency in HPE Ezmeral Data Fabric?
- A . Upgrading the operating system
- B . Performing data replication checks
- C . Adding new storage nodes
- D . Updating firewall rules
What is HPE GreenLake for Data Fabric?
- A . A type of green technology for data centers
- B . A cloud-based data storage solution
- C . A consumption-based IT infrastructure service
- D . A data visualization tool
Which feature allows HPE Ezmeral Data Fabric to handle both structured and unstructured data?
- A . Multi-site replication
- B . Object storage interface
- C . POSIX compliance
- D . Unified storage architecture
How can a technician verify the health and status of individual nodes in an HPE Ezmeral Data Fabric cluster?
- A . By conducting user training sessions
- B . By checking the color of data cables
- C . By using monitoring tools and the HPE Ezmeral Fabric Manager
- D . By configuring network switches
What is the purpose of routine data integrity checks during maintenance of HPE Ezmeral Data Fabric?
- A . To select specific hardware vendors
- B . To choose the right data cable colors
- C . To ensure data consistency and reliability
- D . To configure data encryption settings
What aspect of HPE GreenLake simplifies the management of HPE Ezmeral Data Fabric?
- A . Pre-configured firewalls
- B . Unified billing for compute and storage
- C . Centralized management through the GreenLake Central portal
- D . Automatic hardware replacement
Which types of alerts are commonly configured in HPE Ezmeral Data Fabric to notify administrators of potential issues? (Select two)
- A . Replication lag alerts
- B . Storage usage threshold alerts
- C . Firewall access attempts
- D . Container status alerts
Which monitoring tool is recommended for tracking resource utilization in HPE Ezmeral Data Fabric?
- A . Prometheus
- B . Datadog
- C . Splunk
- D . Nagios
Which design considerations are critical for optimizing HPE Ezmeral Data Fabric for big data workloads? (Select two)
- A . Real-time data processing capability
- B . Support for high-latency disk I/O
- C . Scalable storage architecture
- D . Avoiding distributed data storage