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Oracle 1Z0-1110-26 Exam Overview:
| Certification Vendor: | Oracle |
| Exam Name: | Oracle Cloud Infrastructure Data Science Professional |
| Exam Number: | 1Z0-1110-26 |
| Certificate Validity Period: | 24 months |
| Real Exam Qty: | 50 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Passing Score: | 68% |
| Exam Format: | Multiple Choice |
| Exam Price: | USD 245 |
| Recommended Training: | Oracle Cloud Infrastructure Data Science Professional Course Become an OCI Data Science Professional (2026) |
| Exam Registration: | Oracle MyLearn Registration Oracle University Exam Page |
| Sample Questions: | Oracle 1Z0-1110-26 Sample Questions |
| Exam Way: | Online proctored or in-person at authorized testing centers |
| Pre Condition: | No mandatory prerequisites; recommended: proficiency in Python and ML concepts, 6+ months hands-on OCI experience, familiarity with open-source data science libraries |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-data-science-professional/pexam_1Z0-1110-26 |
Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate Related OCI Services | 10% | - Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking |
| Topic 2: Apply MLOps Practices | 20% | - Model monitoring, drift detection, and performance tracking - Governance, auditing, and compliance - ML pipelines, automation, and reproducibility |
| Topic 3: Implement End-to-End Machine Learning Lifecycle | 45% | - Model saving, cataloging, and versioning - Use AutoML and built-in algorithms - Deploy models and manage endpoints - Data preparation, exploration, and transformation - Model development, training, and evaluation |
| Topic 4: 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 |
| Topic 5: Design and Set Up Data Science Workspace | 15% | - Manage access control, security, and IAM integration - Configure compute shapes, storage, and networking - Create and manage projects and notebook sessions |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. Which Web Application Firewall (WAF) service component must be configured to allow, block, or log network requests when they meet specified criteria?
A) Protection rules
B) Bot Management
C) Web Application Firewall policy
D) Origin
2. Which OCI cloud service lets you centrally manage the encryption keys that protect your data and the secret credentials that you use to securely access resources?
A) Data Safe
B) Data Guard
C) Vault
D) Cloud Guard
3. Which statement is true about origin management in Web Application Firewall (WAF)?
A) Only statement A is true
B) Multiple origins can be defined
C) Only a single origin can be active for a WAF
D) Both the statements are false
E) Both the statements are true
F) Only statement B is true
4. Which of the following analytical and statistical techniques do data scientists commonly use?
A) Classification
B) Clustering
C) Regression
D) All of the above
5. Which statement about logs for Oracle Cloud Infrastructure Jobs is true?
A) All stdout and stderr are automatically stored when automatic log creation is enabled
B) Each job run sends outputs to a single log for that job
C) Integrating data science jobs resources with logging is mandatory
D) Logs are automatically deleted when the job and job run is deleted
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: E | Question # 4 Answer: D | Question # 5 Answer: A |
By Tracy
