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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Apply MLOps Practices | 20% | - Governance, auditing, and compliance - ML pipelines, automation, and reproducibility - Model monitoring, drift detection, and performance tracking |
| Topic 3: Integrate Related OCI Services | 10% | - Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking |
| Topic 4: Implement End-to-End Machine Learning Lifecycle | 45% | - Use AutoML and built-in algorithms - Data preparation, exploration, and transformation - Model saving, cataloging, and versioning - Deploy models and manage endpoints - Model development, training, and evaluation |
| Topic 5: Design and Set Up Data Science Workspace | 15% | - Create and manage projects and notebook sessions - Manage access control, security, and IAM integration - Configure compute shapes, storage, and networking |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. Arrange the following in the correct Git Repository workflow order:
Install, configure, and authenticate Git.
Configure SSH keys for the Git repository.
Create a local and remote Git repository.
Commit files to the local Git repository.
Push the commit to the remote Git repository.
A) 1, 2, 3, 4, 5
B) 4, 2, 3, 1, 5
C) 3, 5, 1, 2, 4
D) 2, 3, 1, 4, 5
2. Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.
A) Key rotation improves encryption efficiency
B) Periodically rotating keys limits the amount of data encrypted by one key version
C) Key rotation allows you to encrypt no more than five keys at a time
D) Periodically rotating keys makes it easier to reuse keys
E) Key rotation reduces risk if a key is ever compromised
3. Where are OCI secrets stored?
A) OCI Vault
B) OCI Object Storage
C) Oracle Databases
D) Autonomous Data Warehouse
4. Where do calls to stdout and stderr from score.py go in the model deployment?
A) The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment
B) The file that was defined for them on the virtual machine (VM)
C) The OCI Console
D) The OCI Cloud Shell, which can be accessed from the console
5. You are a data scientist working for a utilities company. You have developed an algorithm that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which THREE interfaces could you use to save the model artifact into the model catalog?
A) Console
B) OCI Python SDK
C) Accelerated Data Science (ADS) Software Development Kit (SDK)
D) Git CLI
E) Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
F) ODSC CLI
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B,E | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A,B,C |
