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Practice Free EX267 Exam Online Questions

Question #31

Which resource type represents a data science project in OpenShift AI?

  • A . Project
  • B . Namespace
  • C . DataProject
  • D . ClusterProject

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Correct Answer: B
B

Explanation:

A Namespace is used to isolate and manage data science projects, providing a dedicated environment within OpenShift AI.
Question #32

What command installs the scikit-learn library in Python?

  • A . pip install numpy
  • B . pip install sklearn
  • C . pip install scikit-learn
  • D . pip install tensorflow

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Correct Answer: C
C

Explanation:

pip install scikit-learn installs the scikit-learn library, which offers tools for machine learning. It includes algorithms for classification, regression, and clustering tasks.
Question #33

Which two commands help diagnose issues with a workbench pod?

  • A . oc logs <pod-name>
  • B . oc describe pod <pod-name>
  • C . oc debug notebook <name>
  • D . oc inspect notebook <name>

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Correct Answer: A, B
A, B

Explanation:

oc logs shows container logs, while oc describe pod provides detailed pod information for diagnosing issues.
Question #34

What is the default namespace for DataScienceCluster objects?

  • A . openshift-ai
  • B . datascience
  • C . default
  • D . odh-system

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Correct Answer: A
A

Explanation:

openshift-ai is the default namespace where DataScienceCluster objects and associated Open Data Hub components are deployed.
Question #35

What is the purpose of the DataScienceCluster object in OpenShift AI?

  • A . To manage AI workloads
  • B . To configure OpenShift nodes
  • C . To manage Open Data Hub components
  • D . To handle cluster networking

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Correct Answer: C
C

Explanation:

The DataScienceCluster object manages the deployment and configuration of Open Data Hub components within OpenShift AI environments.
Question #36

What is the purpose of a validation dataset during model training?

  • A . To train the model
  • B . To visualize predictions
  • C . To deploy the model
  • D . To evaluate performance

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Correct Answer: D
D

Explanation:

A validation dataset helps assess the model’s performance on unseen data during training. It is used to tune hyperparameters and detect overfitting before final deployment.
Question #37

Which two storage backends are commonly used for PVCs in OpenShift AI?

  • A . Kafka
  • B . Redis
  • C . AWS EBS
  • D . Azure Disk

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Correct Answer: C, D
C, D

Explanation:

AWS EBS and Azure Disk are frequently used as storage backends for PVCs, providing reliable, scalable storage solutions.
Question #38

How do you create a .gitignore file to exclude .ipynb_checkpoints from Git tracking?

  • A . echo "*.ipynb_checkpoints" > .gitignore
  • B . git ignore *.ipynb_checkpoints
  • C . git add-ignore .ipynb_checkpoints
  • D . echo ".ipynb_checkpoints" >> .gitignore

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Correct Answer: A
A

Explanation:

echo "*.ipynb_checkpoints" > .gitignore creates a .gitignore file and excludes .ipynb_checkpoints folders.

This prevents temporary notebook data from being tracked.
Question #39

Which Elyra feature allows scheduling of pipeline runs?

  • A . Elyra Scheduler
  • B . Task Runner
  • C . Workflow Orchestrator
  • D . Pipeline Scheduler

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Correct Answer: D
D

Explanation:

The Pipeline Scheduler in Elyra lets users set automated schedules for running pipelines directly within JupyterLab.
Question #40

What field in ConfigMap sets the notebook cull timeout?

  • A . data.cull_timeout
  • B . data.cull_idle_timeout
  • C . spec.cull_time
  • D . spec.idleTimeout

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Correct Answer: B
B

Explanation:

The data.cull_idle_timeout field in the ConfigMap sets the duration a notebook can stay idle before being culled to save resources.