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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement End-to-End Machine Learning Lifecycle | 45% | - Model saving, cataloging, and versioning - Model development, training, and evaluation - Use AutoML and built-in algorithms - Data preparation, exploration, and transformation - Deploy models and manage endpoints |
| Topic 2: Apply MLOps Practices | 20% | - Governance, auditing, and compliance - Model monitoring, drift detection, and performance tracking - ML pipelines, automation, and reproducibility |
| Topic 3: Integrate Related OCI Services | 10% | - Integration with OCI Object Storage, Vault, and Networking - Use OCI AI and data services with Data Science |
| Topic 4: 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 |
| Topic 5: 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 |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage Bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
- A. Package your personal OCI config file and keys in the job artifact
- B. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog
- C. Store your personal OCI config file and keys in the Vault, and access the Vault through the job run resource principal
- D. Create a pre-authenticated request (PAR) for the Object Storage bucket and use that in the job code
Correct Answer: B 🗳️
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You have trained a binary classifier for a loan application and saved this model into the model catalog. A colleague wants to examine the model, and you need to share the model with your colleague. From the model catalog, which model artifacts can be shared?
- A. Metadata, hyperparameters, metrics only
- B. Models, model metadata, hyperparameters, metrics
- C. Models and metrics only
- D. Model metadata and hyperparameters only
Correct Answer: B 🗳️
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Which of the following programming languages are most widely used by data scientists?
- A. Java and JavaScript
- B. C and C++
- C. Python, R, and SQL
Correct Answer: C 🗳️
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What is the first step in the data science process?
- A. Defining an analytical hypothesis that could provide business value
- B. Collecting data and preparing it for analysis
- C. Experimenting with and tuning different analytical models
- D. Working with data owners
Correct Answer: A 🗳️
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Which Oracle Data Safe feature minimizes the amount of personal data and allows internal test, development, and analytics teams to operate with reduced risk?
- A. Security assessment
- B. Data encryption
- C. Data masking
- D. Data auditing
- E. Data discovery
Correct Answer: C 🗳️
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