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PCD Practice Question: Using Cloud Bigtable for a high-throughput write…
A company is using Cloud Bigtable for a high-throughput write workload. They notice periodic latency spikes. Which two metrics should they monitor to diagnose the issue? (Choose two.)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Error count
Request latency directly measures performance. Error count indicates failures or throttling. CPU utilization and disk usage are less direct indicators for write spikes. However, the question asks for two metrics to diagnose latency spikes; the most relevant are request latency and error count.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disk bytes used
Why it's wrong here
Disk usage is a storage metric, not directly related to latency spikes.
- ✗
Network throughput
Why it's wrong here
Network throughput is not a Bigtable metric; it's not directly indicative of latency spikes.
- ✓
Error count
Why this is correct
Error count (e.g., deadline exceeded) indicates issues causing latency spikes.
- ✓
Request latency
Why this is correct
Directly measures the latency of read/write requests.
- ✗
CPU utilization
Why it's wrong here
CPU is not the primary metric for write latency spikes; it can be a symptom but not direct.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCD practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCD exam.