Nutanix Exam Data Analysis & Reporting 4 — Questions and Answers
Question 1: Which Nutanix report type is most useful for identifying 'zombie VMs' — virtual machines that are powered on but consuming resources without active workloads?
- Capacity Runway Report
- VM Efficiency Report (Correct answer)
- Data Resiliency Report
- Cluster Performance Summary
Correct answer: VM Efficiency Report
The VM Efficiency Report in Prism Central identifies VMs with low utilization, helping admins find idle or zombie VMs consuming unnecessary resources.
Question 2: In Nutanix Prism analytics, what does the 'Write Amplification Factor' (WAF) metric measure?
- The ratio of logical writes to physical writes occurring on the storage layer (Correct answer)
- Network packet retransmission rate
- Snapshot replication overhead
- CVM memory consumption per write operation
Correct answer: The ratio of logical writes to physical writes occurring on the storage layer
WAF measures how many physical writes are generated per logical write, helping identify storage efficiency — high WAF means the storage system is doing significantly more work than the application requests.
Question 3: An administrator wants to analyze historical trends in cluster CPU utilization over the past 30 days in Prism Central. What is the maximum granularity available for historical data at that time range?
- 1-minute intervals
- 5-minute intervals
- 1-hour intervals (Correct answer)
- 24-hour daily averages
Correct answer: 1-hour intervals
For 30-day historical views in Prism Central, data is rolled up to hourly granularity; 1-minute granularity is only available for short recent windows.
Question 4: Which Nutanix Prism Central entity type can be used to group and filter data across multiple clusters for consolidated reporting?
- Storage Containers
- Categories (Key-Value Tags) (Correct answer)
- Protection Domains
- Availability Zones
Correct answer: Categories (Key-Value Tags)
Categories are key-value metadata tags applied to any Nutanix entity, enabling cross-cluster filtering and grouping in consolidated Prism Central reports.
Question 5: In Nutanix performance analysis, what is the primary difference between 'read cache hit rate' and 'metadata cache hit rate'?
- Read cache hit rate measures data block cache efficiency; metadata cache hit rate measures index and namespace lookup efficiency (Correct answer)
- They are identical metrics shown in different dashboards
- Read cache is on SSD; metadata cache is only in RAM
- Read cache hit rate applies only to VMs; metadata cache to CVMs
Correct answer: Read cache hit rate measures data block cache efficiency; metadata cache hit rate measures index and namespace lookup efficiency
Read cache hit rate reflects how often data blocks are served from cache rather than disk, while metadata cache hit rate reflects how efficiently Nutanix's distributed metadata lookups are served from memory.
Question 6: What does the 'Savings' section in a Nutanix storage efficiency report typically display?
- Network bandwidth saved by compression
- Combined space saved through deduplication, compression, and erasure coding (Correct answer)
- VM snapshot space reclaimed
- Storage tiering migration efficiency
Correct answer: Combined space saved through deduplication, compression, and erasure coding
The Savings section aggregates space reclaimed from deduplication, inline compression, and erasure coding to show the overall storage efficiency gain.
Question 7: Which Prism Central feature generates a PDF or CSV file summarizing VM inventory, including IP addresses, vCPU count, memory, and power state, across all registered clusters?
- NCC Cluster Report
- Prism Central VM Inventory Report (Correct answer)
- Calm Infrastructure Report
- Flow Policy Report
Correct answer: Prism Central VM Inventory Report
Prism Central's VM Inventory Report compiles VM attributes from all registered clusters into a downloadable PDF or CSV for asset management and auditing.
Which Nutanix report type is most useful for identifying 'zombie VMs' — virtual machines that are powered on but consuming resources without active workloads?