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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement End-to-End Machine Learning Lifecycle | 45% | - Model saving, cataloging, and versioning - Use AutoML and built-in algorithms - Deploy models and manage endpoints - Model development, training, and evaluation - Data preparation, exploration, and transformation |
| Integrate Related OCI Services | 10% | - Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking |
| OCI Data Science - Introduction & Configuration | 10% | - Tenancy and environment configuration for Data Science - Capabilities of the Accelerated Data Science (ADS) SDK - Overview and core concepts of OCI Data Science |
| Design and Set Up Data Science Workspace | 15% | - Configure compute shapes, storage, and networking - Manage access control, security, and IAM integration - Create and manage projects and notebook sessions |
| Apply MLOps Practices | 20% | - ML pipelines, automation, and reproducibility - Governance, auditing, and compliance - Model monitoring, drift detection, and performance tracking |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. What is the correct definition of Git?
A) Git is a distributed version control system that allows you to track changes made to a set of files.
B) Git is a distributed version control system that protects teams from simultaneous repo contributions and merge requests.
C) Git is a centralized version control system that allows you to revert to previous versions of files as needed.
D) Git is a centralized version control system that allows data scientists and developers to track copious amounts of data.
2. What is a conda environment?
A) An open-source environment management system
B) A collection of kernels
C) A system that manages package dependencies
D) An environment deployment system on Oracle AI
3. Which Oracle Cloud Infrastructure (OCI) Data Science policy is invalid?
A) Allow group DataScienceGroup to use virtual-network-family in compartment DataScience
B) Allow dynamic-group DataScienceDynamicGroup to manage data-science-projects in compartment DataScience
C) Allow dynamic-group DataScienceDynamicGroup to manage data-science-family in compartment DataScience
D) Allow group DataScienceGroup to use data-science-model-sessions in compartment DataScience
4. Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets fromreference libraries and index websites, such as scikit-learn?
A) DatasetBrowser
B) SecretKeeper
C) ADSTuner
D) DatasetFactory
5. Which statement about Oracle Cloud Infrastructure Data Science Jobs is true?
A) Jobs comes with a set of standard tasks that cannot be customized
B) Jobs provisions the infrastructure to run a process on-demand
C) You must use a single Shell/Bash or Python artifact to run a job
D) You must create and manage your own Jobs infrastructure
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: B |
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