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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apply MLOps Practices | 20% | - Governance, auditing, and compliance - ML pipelines, automation, and reproducibility - Model monitoring, drift detection, and performance tracking |
| Implement End-to-End Machine Learning Lifecycle | 45% | - Model development, training, and evaluation - Use AutoML and built-in algorithms - Deploy models and manage endpoints - Model saving, cataloging, and versioning - 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 |
| 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 |
| 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 |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated. Which model explanation technique should you choose?
A) Feature Permutation Importance Explanations
B) Feature Dependence Explanations
C) Local Interpretable Model-Agnostic Explanations
D) Accumulated Local Effects
2. Which components are a part of the OCI Identity and Access Management service?
A) Compute instances
B) Policies
C) Regional subnets
D) VCN
3. Which statement best describes Oracle Cloud Infrastructure Data Science Jobs?
A) Jobs let you define and run all Oracle Cloud DevOps workloads.
B) Jobs let you define and run repeatable tasks on customer-managed infrastructure.
C) Jobs let you define and run repeatable tasks on fully managed infrastructure.
D) Jobs let you define and run repeatable tasks on fully managed third-party cloud infrastructures.
4. What is the first step in the data science process?
A) Experimenting with and tuning different analytical models
B) Defining an analytical hypothesis that could provide business value
C) Collecting data and preparing it for analysis
D) Working with data owners
5. Which statement accurately describes an aspect of machine learning models?
A) Static predictions become increasingly accurate over time.
B) A high-quality model will not need to be retrained as new information is received.
C) Model performance degrades over time due to changes in data.
D) Data models are more static and generally require fewer updates than software code.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: C |





