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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% | - Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking |
| Implement End-to-End Machine Learning Lifecycle | 45% | - Deploy models and manage endpoints - Model saving, cataloging, and versioning - Use AutoML and built-in algorithms - Data preparation, exploration, and transformation - Model development, training, and evaluation |
| OCI Data Science - Introduction & Configuration | 10% | - Overview and core concepts of OCI Data Science - Capabilities of the Accelerated Data Science (ADS) SDK - Tenancy and environment configuration for Data Science |
| Apply MLOps Practices | 20% | - ML pipelines, automation, and reproducibility - Model monitoring, drift detection, and performance tracking - Governance, auditing, and compliance |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
What happens when a notebook session is deactivated?
- A. The underlying compute instance stops
- B. Compute cost increases due to frequent deactivation
- C. The data on boot volume is preserved
- D. The block volume attached to the notebook is permanently deleted
Correct Answer: A 🗳️
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Which model has an open-source, open model format that allows you to run machine learning models on different platforms?
- A. PyTorch
- B. PySpark
- C. ONNX
- D. TensorFlow
Correct Answer: C 🗳️
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Which components are a part of the OCI Identity and Access Management service?
- A. Compute instances
- B. Policies
- C. VCN
- D. Regional subnets
Correct Answer: B 🗳️
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You want to make your model more frugal to reduce the cost of collecting and processing dat a. You plan to do this by removing features that are highly correlated. You would like to create a heatmap that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?
- A. pearson_plot()
- B. correlation_ratio_plot()
- C. cramersv_plot()
- D. corr()
Correct Answer: B 🗳️
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What is the primary difference between a data scientist and a data engineer?
- A. A data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation, and analysis.
- B. A data engineer analyzes data after a data scientist collects and prepares it.
- C. A data engineer collects and prepares data, and a data scientist then analyzes it.
- D. A data engineer creates data flows to be used as templates by the data analyst.
Correct Answer: C 🗳️
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