Oracle 1Z0-1110-26

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

Question #1
Which statement about Oracle Cloud Infrastructure Multi-Factor Authentication (MFA) is NOT valid?

A. A user can register only one device to use for MFA
B. Users must install a supported authenticator app on the mobile device they intend to register for MFA
C. Users cannot disable MFA for themselves
D. An administrator can disable MFA for another user

Question #2
While working with Git on Oracle Cloud Infrastructure (OCI) Data Science, you notice that two of the operations are taking more time than the others due to your slow internet speed. Which TWO operations would experience the delay?

A. Pushing changes to a remote repository
B. Updating the local repo to match the content from a remote repository
C. Making a commit that is taking a snapshot of the local repository for the next push
D. Moving the changes into staging area for the next commit
E. Converting an existing local project folder to a Git repository

Question #3
What happens when a notebook session is deactivated?

A. Compute cost increases due to frequent deactivation
B. The data on boot volume is preserved
C. The block volume attached to the notebook is permanently deleted
D. The underlying compute instance stops

Question #4
You have an embarrassingly parallel or distributed batch job with a large amount of data running using Data Science Jobs. What would be the best approach to run the workload?

A. Create a new job for every job run that you have to run in parallel, because the Data Science Job service can have only one job per job
B. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required
C. Create a job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
D. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel

Question #5
You are working in your notebook session and find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?

A. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete the notebook session, provision a new notebook session on a larger compute shape, and copy your files and data from your temporary bucket to your new notebook session
B. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook with a larger compute shape selected
C. Deactivate your notebook session, provision a new notebook session on a larger compute shape, and recreate all your file changes
D. Download your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to the new notebook session

Solutions: