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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Use Related OCI Services | - Design machine learning solutions for business use cases - Integrate OCI Data and AI services - Apply OCI services for data ingestion, storage, and processing |
| Design and Set Up Data Science Workspace | - Use Accelerated Data Science SDK and open source tools - Create and configure Data Science projects - Manage notebook sessions and compute resources |
| Apply MLOps Practices | - Monitor and maintain machine learning models - Use best practices for operationalizing ML solutions - Implement model lifecycle management |
| Implement End-to-End Machine Learning Lifecycle | - Save and manage models using Model Catalog - Prepare and manage datasets - Automate machine learning workflows and pipelines - Build, train, and evaluate machine learning models - Deploy models and consume model endpoints |
| OCI Data Science - Introduction and Configuration | - Configure and manage Data Science resources - Use OCI Data Science notebooks and sessions - Understand OCI Data Science service concepts and architecture |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. Which encryption is used for Oracle Data Science?
A) Rivest Shamir Adleman (RSA)
B) Twofish
C) Data Encryption Standard (DES)
D) Triple DES (TDES)
E) 256-bit Advanced Encryption Standard (AES-256)
2. Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud Infrastructure (OCI) Data Science developed and added to the notebook session experience?
A) Terminal
B) Table of Contents
C) Environment Explorer
D) Command Palette
E) Notebook Examples
3. Which is NOT a compliance document?
A) Certificate
B) Penetration test report
C) Bridge letter
D) Attestation
4. You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
A) The display name of the application
B) The bucket used to read/write the PySpark script in Object Storage
C) The local path to your PySpark script
D) The path to the archive.zip file
E) The compartment of the Data Flow application
5. What is the minimum active storage duration for logs used by Logging Analytics to be archived?
A) 10 days
B) 15 days
C) 30 days
D) 60 days
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: C,E | Question # 3 Answer: B | Question # 4 Answer: A,B,E | Question # 5 Answer: C |
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