Free Oracle Cloud Infrastructure 2025 Data Science Professional Exam 1Z0-1110-25 Exam Practice Test

What is a common maxim about data scientists?

• They spend 80% of their time finding and preparing data and 20% analyzing it.
• They spend 80% of their time analyzing data and 20% finding and preparing it.
• They spend 80% of their time on failed analytics projects and 20% doing useful work.

Which Security Zone policy is NOT valid?

• A boot volume can be moved from a security zone to a standard compartment
• A compute instance cannot be moved from a security zone to a standard compartment
• Resources in a security zone should not be accessible from the public internet
• Resources in a security zone must be automatically backed up regularly

You are a data scientist designing an air traffic control model, and you choose to leverage Oracle AutoML. You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?

• Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning
• Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning
• Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
• Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning

Where do calls to stdout and stderr from score.py go in the model deployment?

• The file that was defined for them on the virtual machine (VM)
• The OCI Console
• The OCI Cloud Shell, which can be accessed from the console
• The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment

You have trained a binary classifier for a loan application and saved this model into the model catalog. A colleague wants to examine the model, and you need to share the model with your colleague. From the model catalog, which model artifacts can be shared?

• Metadata, hyperparameters, metrics only
• Model metadata and hyperparameters only
• Models and metrics only
• Models, model metadata, hyperparameters, metrics

You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage Bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?

• Create a pre-authenticated request (PAR) for the Object Storage bucket and use that in the job code
• Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog
• Package your personal OCI config file and keys in the job artifact
• Store your personal OCI config file and keys in the Vault, and access the Vault through the job run resource principal

You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which two should you look for to ensure permissions are set up correctly?

• The model artifact is saved to the block volume of the notebook session
• A dynamic group has rules that match the notebook sessions in its compartment
• The policy for your user group grants manage permissions for the model catalog in this compartment
• The policy for a dynamic group grants manage permissions for the model catalog in this compartment
• The networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway

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 sub-folders and classes. What is the best way to run this project as a Job?

• 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
• Rewrite your code so that it is a single executable Python or Bash/Shell script file
• ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically
• 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

Which activity is NOT a part of the machine learning life cycle?

• Database Management
• Model Deployment
• Modeling
• Data Access

You are a researcher who requires access to large datasets. Which OCI service would you use?

• Oracle Databases
• ADW (Autonomous Data Warehouse)
• OCI Data Science
• Oracle Open Data