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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apply MLOps Practices | 20% | - Model monitoring, drift detection, and performance tracking - Governance, auditing, and compliance - ML pipelines, automation, and reproducibility |
| OCI Data Science - Introduction & Configuration | 10% | - Capabilities of the Accelerated Data Science (ADS) SDK - Tenancy and environment configuration for Data Science - Overview and core concepts of OCI Data Science |
| Implement End-to-End Machine Learning Lifecycle | 45% | - Model saving, cataloging, and versioning - Use AutoML and built-in algorithms - Deploy models and manage endpoints - Data preparation, exploration, and transformation - Model development, training, and evaluation |
| Integrate Related OCI Services | 10% | - Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking |
| 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 |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
Which OCI cloud service lets you centrally manage the encryption keys that protect your data and the secret credentials that you use to securely access resources?
- A. Data Guard
- B. Data Safe
- C. Cloud Guard
- D. Vault
Correct Answer: D 🗳️
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What is the minimum active storage duration for logs used by Logging Analytics to be archived?
- A. 10 days
- B. 15 days
- C. 60 days
- D. 30 days
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
Which is NOT a valid OCI Data Science notebook session approach?
- A. 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
- B. 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
- C. Ensure you don’t execute long-running Python processes in a notebook cell
- D. Run the process directly in the terminal and use Python logging to get updates on the progress of your job
- E. Avoid having multiple users in the same notebook session due to the possibility of resource contention and write conflicts
Correct Answer: B 🗳️
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Six months ago you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods would you employ to verify accuracy and lower customer churn?
- A. Validate the model using recent data
- B. Drift monitoring
- C. Redeploy the model
- D. Retrain the model
- E. Operational monitoring
Correct Answer: B,D 🗳️
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as assess the quality of the model class that you are using. What is the most appropriate search space strategy to choose?
- A. ADSTuner doesn’t need a search space to tune the hyperparameters
- B. Detailed
- C. Pass a dictionary that defines a search space
- D. Perfunctory
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
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