1Z0-1110-25 : OCI Data Science Professional Practice Test

Prepare for the Oracle Cloud Infrastructure (OCI) 2025 Data Science Professional (1Z0-1110-25) certification with our comprehensive practice test! This resource mirrors the actual exam structure, offering realistic, exam-style questions to assess your readiness. Whether you're a seasoned data scientist, cloud professional, or IT expert looking to specialize in Oracle Data Science services, this practice test is designed to validate your knowledge, identify areas for improvement, and hone your problem-solving and time management skills.

Simulate the real exam experience and boost your confidence for passing the Oracle 1Z0-1110-25 certification on your first attempt.

Key Topics Covered:

• OCI Data Science - Introduction & Configuration:

  • Understand the OCI Data Science Overview & Concepts.
  • Explore the capabilities of Accelerated Data Science (ADS) SDK.
  • Configure your OCI tenancy for Data Science.
  • Design and set up OCI Data Science Workspaces.
  • Create and manage Projects and Notebook sessions.
  • Create and manage Conda environments.
  • Utilize OCI Vault for secure credential storage.
  • Manage source code in Code Repositories (Git).
  • Implement an end-to-end Machine Learning Lifecycle.

• Machine Learning Lifecycle:

  • Gain a comprehensive understanding of the ML Lifecycle Overview.
  • Leverage various data sources to efficiently fetch data.
  • Explore and prepare data for model training.
  • Visualize and profile data to gain insights.
  • Create and train models using OCI and Open source Libraries.
  • Utilize automated ML capabilities from Oracle AutoML.
  • Evaluate models for optimal performance.
  • Obtain Global & Local Model Explanations.
  • Manage models using Model Catalog.
  • Deploy & Invoke a Cataloged Model.
  • Explore ADS and OCI Generative AI Integration.
  • Implement LangChain Application deployment for Data Science.
  • (Optional) Understand Operators.
  • Apply AI Quick Actions.

• MLOps Practices:

  • Apply MLOps Practices for streamlined model management.
  • Understand the OCI MLOps Architecture.
  • Create & Manage Jobs for custom tasks.
  • Scale with OCI Data Science.
  • Autoscaling Model deployment for efficient inference.
  • Monitor & Log using MLOps Practices.
  • Utilize Pipelines to automate machine learning workflows.

• Related OCI Services:

  • Create and Manage Spark Applications using Data Flow and OCI Data Science.
  • Describe OCI Open Data Service.
  • Create and Export a Dataset using OCI Data Labeling.

Take this practice test today to sharpen your skills and take a significant step towards becoming a certified Oracle Data Science Professional!