PCDOE Optimizing service performance Practice Question
Your GKE cluster runs a batch job that processes large files from Cloud Storage. The job uses CPUs inefficiently, with low utilization. You want to reduce cost while maintaining throughput. Which approach should you take?
⚠ Common exam trap
Google Cloud often tests the misconception that faster storage (local SSDs) or cheaper compute (spot VMs) always reduces cost, when the real issue is inefficient resource utilization that must be addressed at the application or data access layer.
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
✓
Use Cloud Storage FUSE to stream files directly into containers, avoiding local storage.
Cloud Storage FUSE allows containers to stream files directly from Cloud Storage without first downloading them to a local disk. This eliminates the I/O bottleneck of writing to local storage and reduces CPU overhead from disk operations, enabling the batch job to process files more efficiently and maintain throughput while using fewer CPU resources.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Cloud Storage FUSE to stream files directly into containers, avoiding local storage.
Why this is correct
Streaming reduces latency and cost by eliminating disk.
- ✗
Configure the node pool to use spot VMs.
Why it's wrong here
Spot VMs can be preempted, causing job failure.
- ✗
Use local SSDs for faster file access.
Why it's wrong here
Local SSDs are costly and not needed if CPU is bottleneck.
- ✗
Increase the CPU request for the job pods.
Why it's wrong here
CPU is underutilized; more CPU won't help.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCDOE 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 PCDOE exam.