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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. Which two statements are true about published conda environments?

A) In addition to service job run environment variables, conda environment variables can be used inData Science Jobs
B) They are curated by Oracle Cloud Infrastructure (OCI) Data Science
C) The odsc conda init command is used to configure the location of published conda environments
D) Your notebook session acts as the source to share published conda environments with team members
E) You can only create a published conda environment by modifying a Data Science conda environment

2. Which step is unique to MLOps, as opposed to DevOps?

A) Continuous training
B) Continuous deployment
C) Continuous integration
D) Continuous delivery

3. Arrange the following in the correct Git Repository workflow order:
Install, configure, and authenticate Git.
Configure SSH keys for the Git repository.
Create a local and remote Git repository.
Commit files to the local Git repository.
Push the commit to the remote Git repository.

A) 3, 5, 1, 2, 4
B) 4, 2, 3, 1, 5
C) 1, 2, 3, 4, 5
D) 2, 3, 1, 4, 5

4. Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.

A) Periodically rotating keys limits the amount of data encrypted by one key version
B) Periodically rotating keys makes it easier to reuse keys
C) Key rotation reduces risk if a key is ever compromised
D) Key rotation allows you to encrypt no more than five keys at a time
E) Key rotation improves encryption efficiency

5. What is the primary difference between a data scientist and a data engineer?

A) A data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation, and analysis.
B) A data engineer collects and prepares data, and a data scientist then analyzes it.
C) A data engineer analyzes data after a data scientist collects and prepares it.
D) A data engineer creates data flows to be used as templates by the data analyst.

Solutions: