Detailed Answer in Step-by-Step Solution:

Understand Published Conda Environments: In OCI Data Science, these are custom conda environments

shared across users via Object Storage.

Evaluate Options:

A: Vague—All conda environments can address use cases; not unique to “published.” B:

Incorrect—Availability on reactivation applies to session persistence, not publishing. C:

Correct—Publishing saves the environment to Object Storage for sharing/reuse.

D: Incorrect—Block volumes store session data, not published environments.

Reasoning: The unique aspect of “published” environments is their storage in Object Storage (via odsc

conda publish), enabling team access.

Conclusion: C is the distinctive feature.

The OCI Data Science documentation highlights that “published conda environments are saved to an OCI

Object Storage Bucket, allowing them to be shared across notebook sessions and users.” This

distinguishes C from A (generic), B (session-related), and D (block volume is for session state, not

publishing). Publishing to Object Storage is the defining trait per Oracle’s design.

: Oracle Cloud Infrastructure Data Science Documentation, "Managing Conda Environments Publishing" section.

What is a conda environment?

A. A system that manages package dependencies

B. A collection of kernels

C. An open-source environment management system

D. An environment deployment system on Oracle AI

Answer: C

Explanation:

Detailed Answer in Step-by-Step Solution:

Define Conda: Conda is a widely used tool for managing packages and environments in data science.

Evaluate Options:

A: Partially true—Conda manages dependencies, but it’s broader (an environment system). B:

Incorrect—Kernels (e.g., Jupyter) are separate; Conda manages environments.

C: Correct—Conda is an open-source tool for creating isolated environments with specific packages. D:

Incorrect—Not specific to Oracle AI; it’s a general tool.

Reasoning: C captures Conda’s full scope as an open-source system, beyond just dependency

management (A).

Conclusion: C is the most accurate.

OCI documentation describes Conda as “an open-source package and environment management system

that allows data scientists to create isolated environments with specific versions of Python and libraries.”

A is too narrow, B misaligns with kernel concepts, and D ties it incorrectly to Oracle AI. C aligns with

Conda’s official definition and OCI’s usage.

: Oracle Cloud Infrastructure Data Science Documentation, "Conda Environments Overview".