Free Nutanix NCSE-Core Practice Exam with Questions & Answers | Set: 5

When using Live Optics to assist with sizing a partial infrastructure refresh, it's crucial to capture data that accurately reflects the peak usage periods to ensure the sizing will accommodate the highest demands placed on the infrastructure. Here are the detailed steps and reasons:

Peak Utilization:

Capturing data during peak utilization provides a realistic picture of the maximum load the infrastructure needs to handle.

It ensures that the proposed sizing can accommodate the highest performance and capacity demands, reducing the risk of undersizing.

24-hour Window:

A 24-hour window captures a full day’s cycle, including peak and off-peak hours, providing a comprehensive view of the utilization patterns.

This duration helps in understanding not only the peak loads but also the variations and average loads throughout the day.

Combining these two factors, the most accurate and comprehensive data for sizing would be gathered during 24-hour windows at periods of peak utilization.

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.

For migrating 5 Petabytes of unstructured, archived patient data, Nutanix Objects is the recommended product. Nutanix Objects provides a scalable object storage solution designed to handle large volumes of unstructured data efficiently, making it ideal for archival purposes​​.

Manual Sizing Considerations:

Switching to manual mode requires a more detailed consideration of various factors to ensure the configuration meets the desired requirements.

Key Considerations:

N + 1 Availability:

Explanation: Ensures high availability and fault tolerance by adding redundancy. This means the system can tolerate the failure of one node without impacting the overall system availability.

Erasure Coding (EC-X) is an efficient method to save storage space, particularly for data that is infrequently accessed. Given the characteristics of the VM, such as generating large, sequential writes, needing long-term data retention, and infrequent access, post-process compression is the most suitable feature.

Large Sequential Writes: Post-process compression is well-suited for large, sequential writes because it can significantly reduce the storage footprint after the data has been written to disk. It is more efficient for sequential data patterns compared to inline compression, which might add latency during write operations.

Long-term Data Retention: Since the data needs to be stored for years and is only accessed occasionally, post-process compression can help save storage space over time without impacting the performance of current write operations. This method compresses data after it has been written to storage, optimizing storage usage for long-term retention.

Infrequent Access: Data that is rarely accessed benefits from post-process compression because the slight delay in accessing compressed data is acceptable compared to the significant storage savings.

Comparison with Other Options:

Inline Compression: This compresses data as it is written, which can add latency and is less efficient for large, sequential writes.

Flash Mode: This option is intended for performance optimization by pinning data in the flash tier, which is not relevant for space saving.

Cache Dedup: This reduces the footprint of redundant data in the cache, which is not directly relevant to long-term storage optimization.

Post-process compression aligns well with the characteristics and requirements of the VM described, providing optimal storage efficiency for large, sequential writes and long-term data retention.

References:

Nutanix Bible, Section on Data Reduction Techniques, particularly the comparison between inline and post-process compression​​.

Nutanix-NDB-User-Guide, Guidelines on data storage optimization​​.

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:

Nutanix Era is the most appropriate product for the given scenario. It simplifies and automates database management, including the provisioning and management of PostgreSQL databases. With Era, the online retailer can efficiently manage multiple database instances and copies, significantly reducing storage capacity demands through features like space-efficient snapshots and cloning capabilities .

After evacuating VMs from the host to be moved, the administrator should highlight the host in the Hardware pane in Prism and select "Remove from Metadata Ring." This action ensures that the host is properly removed from the Nutanix cluster metadata management, allowing it to be moved without causing inconsistencies in the metadata ring​​​​.

To configure alerts to notify the administrator before VM CPU utilization hits 90%, follow these steps:

Open the Health dashboard in the Prism web console.

Locate the VM CPU Check alert configuration.

Adjust the alert threshold to a value below 90%, such as 80% or 85%.

Save the changes to ensure that the alert will trigger when VM CPU utilization reaches the newly set threshold.

By lowering the alert threshold, the administrator will receive notifications before CPU utilization becomes critical, allowing for proactive management and mitigation of potential performance issues.

References:

Nutanix Prism Web Console Guide

Nutanix Health Dashboard Documentation

C. ABS (Acropolis Block Services):

Acropolis Block Services (ABS) enables Nutanix storage to be used by external servers, providing the performance and benefits of Nutanix’s distributed storage fabric while allowing the customer to continue using their existing investment in Oracle servers.

ABS allows the integration of all-flash storage with the existing Oracle environment, addressing the prospect's preference for all-flash arrays while leveraging Nutanix’s advanced storage capabilities.

References:

Nutanix documentation on ABS describes its features and benefits, particularly its ability to integrate Nutanix storage with external servers and support high-performance applications like Oracle databases.