D. Allows you to save the conda environment in a block volume Explanation: 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?
Which of the following are common data preprocessing tasks before model training? (Choose two)
How does the ADS SDK simplify working with multiple data sources?
Which tools or libraries are integrated into ADS for data visualization? (Choose two)
Which ADS feature allows for automated summarization of dataset metrics?
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science interface would you use?
