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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design and Set Up Data Science Workspace | 15% | - Create and manage projects and notebook sessions - Configure compute shapes, storage, and networking - Manage access control, security, and IAM integration |
| Integrate Related OCI Services | 10% | - Integration with OCI Object Storage, Vault, and Networking - Use OCI AI and data services with Data Science |
| Apply MLOps Practices | 20% | - ML pipelines, automation, and reproducibility - Governance, auditing, and compliance - Model monitoring, drift detection, and performance tracking |
| OCI Data Science - Introduction & Configuration | 10% | - Capabilities of the Accelerated Data Science (ADS) SDK - Overview and core concepts of OCI Data Science - Tenancy and environment configuration for Data Science |
| Implement End-to-End Machine Learning Lifecycle | 45% | - Model development, training, and evaluation - Use AutoML and built-in algorithms - Data preparation, exploration, and transformation - Deploy models and manage endpoints - Model saving, cataloging, and versioning |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
Question 1
Which Oracle Cloud Service provides restricted access to target resources?
A. Load Balancer
B. Bastion
C. SSL Certificate
D. Internet Gateway
Question 2
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) to create a model and need some additional Python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
A. You can only install libraries using yum and pip as a normal user
B. You cannot install a library that’s not preinstalled in the provided image
C. OCI Data Science allows root privileges in notebook sessions
D. You can install any open-source package available in a publicly accessible Python Package Index (PyPI) repository
E. You can install private or custom libraries from your own internal repositories
Question 3
Which statement about logs for Oracle Cloud Infrastructure Jobs is true?
A. Logs are automatically deleted when the job and job run is deleted
B. All stdout and stderr are automatically stored when automatic log creation is enabled
C. Each job run sends outputs to a single log for that job
D. Integrating data science jobs resources with logging is mandatory
Question 4
Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hyperparameter tuning is completed?
A. A hyperparameter configuration with a minimum learning rate
B. The current best-known hyperparameter configuration
C. The last generated hyperparameter configuration
D. A random hyperparameter configuration
Question 5
Which is NOT a valid OCI Data Science notebook session approach?
A. Run the process directly in the terminal and use Python logging to get updates on the progress of your job
B. Ensure you don’t execute long-running Python processes in a notebook cell
C. Authenticate using your notebook session’s resource principal to access other OCI resources. Resource principals provide a more secure way to authenticate to resources compared to the OCI configuration and API approach
D. Avoid having multiple users in the same notebook session due to the possibility of resource contention and write conflicts
E. While connecting to data in OCI Object Storage from your notebook session, the best practice is to make a local copy on the device and then upload it to your notebook session block volume
Solutions:
| Question 1 Answer: B | Question 2 Answer: B,D,E | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: E |


