Practice Exam Overview

This practice exam is designed to comprehensively cover all the topics included in the certification exam. It is divided into 6 sections, with each section containing 60 questions. These sections will help you assess your knowledge across all relevant areas and ensure thorough preparation for the certification exam.

The 1Z0-1110-24: OCI 2024 Certified Data Science Professional certification and related course aim to provide professionals with expertise in leveraging Oracle Cloud Infrastructure (OCI) for data science projects. This certification is designed to validate knowledge in building, deploying, and managing data science solutions using OCI's suite of services.

Course Overview:

The training emphasizes practical skills necessary for designing and implementing data science workflows using OCI.

Key topics include leveraging OCI's data science and machine learning capabilities, data exploration, model development, deployment, and management of machine learning models at scale.

The course provides hands-on experience with tools and services for data ingestion, processing, and model building using Python, the Oracle Data Science service, and more.

Practical applications are highlighted through case studies and real-world scenarios that enhance learning and retention.

Learning Objectives:

Understand the end-to-end data science workflow within OCI.

Gain expertise in data preparation, analysis, and feature engineering for machine learning.

Learn how to develop and train models using OCI's Data Science tools.

Deploy and monitor machine learning models using OCI's cloud services.