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Latest EX267 Exam Practice Questions

The practice questions for EX267 exam was last updated on 2025-09-15 .

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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.

Exam Code: EX267Q & A: 300 Q&AsUpdated: 2025-09-15

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