Oracle Cloud Infrastructure Data Science 2023 Professional - 1z0-1110-23

You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?

• A. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
• B. You can move a project to a different compartment without affecting its associated notebook sessions and models
• C. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
• D. You cannot move a project to a different compartment after it has been created.

As you are working in your notebook session, you 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. 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 session with a larger compute shape selected.
• B. Create a temporary bucket on Object Storage, write all your files and data to Object Storage, delete your notebook session, provision a new notebook session on a larger compute shape, Want any exam dump in pdf email me at [email protected] (Little Paid) and copy your files and data from your temporary bucket onto your new notebook session.
• C. Download all 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.
• D. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.

You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?

• A. OCI Anomaly Detection
• B. OCI Speech
• C. OCI Translation
• D. OCI Language

You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolders and classes.
What is the best way to run this project as a Job?

• A. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.
• B. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
• C. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.
• D. ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file.

3. When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py file?

• A. Execute the inference logic code.
• B. Configure the deployment infrastructure.
• C. Define the compute scaling strategy.
• D. Define the inference server dependencies