nerdexam
Google

PROFESSIONAL-CLOUD-DEVOPS-ENGINEER · Question #135

You are analyzing Java applications in production. All applications have Cloud Profiler and Cloud Trace installed and configured by default. You want to determine which applications need performance…

The correct answer is D. Examine the latency time the wall-clock time and the CPU time of the application. If the latency E. Examine the heap usage of the application. If the usage is low, mark the application for. To identify Java applications needing performance tuning using Cloud Profiler and Cloud Trace, examine application latency in conjunction with CPU and wall-clock times to detect I/O or contention bottlenecks, and analyze heap usage patterns for memory-related inefficiencies.

Submitted by omar99· Apr 18, 2026Implementing service monitoring strategies

Question

You are analyzing Java applications in production. All applications have Cloud Profiler and Cloud Trace installed and configured by default. You want to determine which applications need performance tuning. What should you do? (Choose two.)

Options

  • AExamine the wall-clock time and the CPU time of the application. If the difference is substantial
  • BExamine the wall-clock time and the CPU time of the application. If the difference is substantial,
  • CExamine the wall-clock time and the CPU time of the application. If the difference is substantial,
  • DExamine the latency time the wall-clock time and the CPU time of the application. If the latency
  • EExamine the heap usage of the application. If the usage is low, mark the application for

How the community answered

(54 responses)
  • A
    11% (6)
  • B
    4% (2)
  • C
    6% (3)
  • D
    80% (43)

Why each option

To identify Java applications needing performance tuning using Cloud Profiler and Cloud Trace, examine application latency in conjunction with CPU and wall-clock times to detect I/O or contention bottlenecks, and analyze heap usage patterns for memory-related inefficiencies.

AExamine the wall-clock time and the CPU time of the application. If the difference is substantial

A substantial difference between wall-clock time and CPU time indicates waiting (I/O, locks), not that the application is CPU-bound; a CPU-bound application would have CPU time close to wall-clock time.

BExamine the wall-clock time and the CPU time of the application. If the difference is substantial,

This interpretation is closer to correct (I/O-bound), but option D is more comprehensive by including latency and explicitly mentioning contention, making it a stronger answer given the choices.

CExamine the wall-clock time and the CPU time of the application. If the difference is substantial,

A substantial difference between wall-clock and CPU time indicates an issue (waiting) that absolutely needs tuning, so stating it does not need tuning is incorrect.

DExamine the latency time the wall-clock time and the CPU time of the application. If the latencyCorrect

High latency, coupled with a significant difference between wall-clock time (total elapsed time) and low CPU time, indicates that an application is spending excessive time waiting for external resources or on contention, which is a clear indicator for performance tuning. Cloud Trace provides latency, and Cloud Profiler provides CPU and wall-clock time.

EExamine the heap usage of the application. If the usage is low, mark the application forCorrect

Analyzing heap usage patterns with Cloud Profiler is crucial for Java performance tuning, as inefficient memory allocation, excessive object creation, or memory leaks can severely impact performance, even if average usage appears low.

Concept tested: Application performance analysis, Cloud Profiler, Cloud Trace, Java performance metrics

Source: https://cloud.google.com/profiler/docs/concepts/profile-types#cpu_and_wall_time

Topics

#performance tuning#Cloud Profiler#Cloud Trace#application monitoring

Community Discussion

No community discussion yet for this question.

Sign up to join the discussion
Full PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Practice