Nutanix NCSE-Core Dumps Questions Answers

C. Inline compression:

Inline compression compresses data as it is written to the storage, reducing the amount of storage used and improving capacity utilization immediately. This is highly effective for reducing the storage footprint of a Splunk workload.

D. Capacity tier de-duplication:

Capacity tier de-duplication eliminates duplicate copies of data, further reducing the storage requirements. This is particularly useful for environments with repetitive data patterns, like log files generated by Splunk.

References:

Nutanix documentation and best practices on storage capacity optimization highlight the use of inline compression and de-duplication as key techniques for reducing storage usage and improving overall storage efficiency.

Understanding Critical Requirements:

For critical business operations, high availability, performance, and redundancy are essential to ensure minimal downtime and robust performance.

NX-1065S-G5 Node Specifications:

When using the Sizer in Automatic mode, it can provide various configurations based on the specified workload and capacity requirements. The following configurations are possible:

6x NX-8055-G7:

Each node has 2 x 7.68TB SSDs and 10x 6TB HDDs.

This configuration balances high-performance SSDs with large-capacity HDDs, suitable for mixed workload environments.

4x NX-1075S-G7 + 4x NX-8035-G7:

NX-1075S-G7 nodes have 4x 3.85TB SSDs each.

NX-8035-G7 nodes have 6x 3.84TB SSDs each.

This combination provides high SSD storage capacity across different node types, optimized for performance-intensive workloads.

References:

Nutanix Sizer Documentation: Details on how the Sizer tool calculates and recommends configurations.

Nutanix Hardware Specifications: Specifications for different node models and their storage capabilities.