AI0-001 AI Infrastructure and Technologies Practice Question
An ML team uses Kubeflow to orchestrate a pipeline that includes data preprocessing, model training, and evaluation. The pipeline runs on a Kubernetes cluster. After a cluster upgrade, the pipeline fails at the training step with an 'OOMKilled' error. What is the MOST likely cause?
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
✓
The Kubernetes node's memory resources were not correctly allocated to the pod's resource requests or limits
OOMKilled indicates the container exceeded its memory limit. The resource requests/limits likely were not adjusted for the new cluster configuration, or the node's allocatable memory decreased after upgrade.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The training code has a memory leak
Why it's wrong here
A memory leak is possible but less likely to coincide with a cluster upgrade; OOMKilled after upgrade suggests resource allocation changes.
- ✗
The pipeline definition is missing a step dependency
Why it's wrong here
Missing dependency would cause a DAG error, not OOMKill.
- ✓
The Kubernetes node's memory resources were not correctly allocated to the pod's resource requests or limits
Why this is correct
After upgrade, default resource limits may have changed, or the pod's memory request exceeded available node memory, causing OOMKill.
- ✗
The training data is corrupted
Why it's wrong here
Data corruption would cause a different error (e.g., data loading failure), not OOMKill.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.