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Exam Code: 1Z0-1110-26
Exam Name: Oracle Cloud Infrastructure Data Science Professional
Updated: Aug 13, 2026
Q & A: 160 Questions and Answers
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| Section | Objectives |
|---|---|
| Topic 1: Use Related OCI Services | - Integrate OCI Data and AI services - Design machine learning solutions for business use cases - Apply OCI services for data ingestion, storage, and processing |
| Topic 2: Design and Set Up Data Science Workspace | - Manage notebook sessions and compute resources - Use Accelerated Data Science SDK and open source tools - Create and configure Data Science projects |
| Topic 3: Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Build, train, and evaluate machine learning models - Deploy models and consume model endpoints - Automate machine learning workflows and pipelines - Save and manage models using Model Catalog |
| Topic 4: Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models - Implement model lifecycle management |
| Topic 5: OCI Data Science - Introduction and Configuration | - Use OCI Data Science notebooks and sessions - Understand OCI Data Science service concepts and architecture - Configure and manage Data Science resources |
1. Which architecture is based on the principle of “never trust, always verify”?
A) Defense in depth
B) Fluid perimeter
C) Zero trust
D) Federated identity
2. Which encryption is used for Oracle Data Science?
A) Triple DES (TDES)
B) Twofish
C) 256-bit Advanced Encryption Standard (AES-256)
D) Data Encryption Standard (DES)
E) Rivest Shamir Adleman (RSA)
3. Which activity is NOT a part of the machine learning life cycle?
A) Modeling
B) Database Management
C) Model Deployment
D) Data Access
4. You have just received a new dataset from a colleague. You want to quickly find out summary information about the dataset, such as the types of features, the total number of observations, and distributions of the dat a. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
A) to_xgb()
B) show_corr()
C) compute()
D) show_in_notebook()
5. You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating a multiclass classification model?
A) Mean squared error
B) R-Squared
C) Explained variance score
D) Recall
E) F1 Score
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D,E |
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