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Latest EX267 Exam Practice Questions

The practice questions for EX267 exam was last updated on 2026-02-24 .

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Question#1

What is Elyra primarily used for in data science workflows?

A. Model deployment

B. Pipeline creation in JupyterLab

C. Hyperparameter tuning for model optimization

D. Dataset visualization

Explanation:
Elyra is a JupyterLab extension that allows users to create and manage data science pipelines using a visual interface.

Question#2

How do you check the differences in a notebook before committing?

A. git diff

B. git check <notebook>

C. git compare

D. git show

Explanation:
git diff displays the changes between the working directory and the staged area. It highlights what has been added, modified, or deleted before committing the notebook.

Question#3

How do you view detailed information about a TensorFlow dataset?

A. dataset.info()

B. dataset.element_spec

C. dataset.describe()

D. dataset.summary()

Explanation:
dataset.element_spec provides details on the structure and types of elements within the dataset, making it easier to understand its configuration.

Question#4

Which two commands build and run a Docker container for a model deployment?

A. docker-compose up

B. docker build

C. docker save

D. docker run

Explanation:
docker build creates a container image, and docker run launches a container instance, both crucial for deploying models with Docker.

Question#5

What OpenShift resource is commonly used to store data connection credentials?

A. ConfigMap

B. Secret

C. PersistentVolume

D. ServiceAccount

Explanation:
A Secret securely stores sensitive data like passwords, API keys, and credentials for data connections.

Disclaimer

This page is for educational and exam preparation reference only. It is not affiliated with RedHat, Red Hat Certified Specialist in OpenShift AI, or the official exam provider. Candidates should refer to official documentation and training for authoritative information.

Exam Code: EX267Q & A: 300 Q&AsUpdated: 2026-02-24

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