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IBM

000-221 · Question #211

Based on the following topas output, what is the most cause for concern?

The correct answer is C. CPU allocation. The topas output indicates that CPU allocation is the most critical concern, suggesting the LPAR may be capped or under-provisioned relative to its workload demand.

Performance Monitoring and Tuning

Question

Based on the following topas output, what is the most cause for concern?

Exhibit

000-221 question #211 exhibit

Options

  • AI/O Wait
  • BPaging activity
  • CCPU allocation
  • DStorage write latency

How the community answered

(37 responses)
  • A
    3% (1)
  • B
    11% (4)
  • C
    84% (31)
  • D
    3% (1)

Why each option

The topas output indicates that CPU allocation is the most critical concern, suggesting the LPAR may be capped or under-provisioned relative to its workload demand.

AI/O Wait

The I/O wait percentage shown in the topas output is not at a level that would constitute the primary performance bottleneck compared to the CPU allocation issue.

BPaging activity

Paging activity metrics in the output do not indicate a critical memory shortage that would rank above the CPU allocation concern.

CCPU allocationCorrect

In a shared processor LPAR environment, topas exposes CPU entitlement utilization and capping indicators that reveal whether a partition is consuming its full allocation or being throttled. When CPU allocation shows the LPAR is consistently hitting or exceeding its entitlement cap, application throughput and response time are directly degraded in a way that cannot be self-corrected by the workload. This makes CPU allocation the highest-priority item to investigate and remediate compared to the other metrics shown.

DStorage write latency

Storage write latency is not surfaced at an alarming threshold in the displayed topas output and is therefore a lower priority than the CPU allocation metric.

Concept tested: AIX topas CPU entitlement and allocation analysis

Source: https://www.ibm.com/docs/en/aix/7.2?topic=t-topas-command

Topics

#topas#CPU monitoring#performance analysis#resource utilization

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