Udemy – Oracle Cloud Infrastructure Architect Associate Exam

Udemy – Oracle Cloud Infrastructure Architect Associate Exam
English | Tutorial | Size: 270.19 MB


Want to master Oracle Cloud concepts and pass the Oracle Cloud Infrastructure Architect Associate Exam!!!

What you’ll Learn:
• Creating Public & Private Keys in Oracle cloud
• Deploy and access compute instances with OCI Blocks
• Configure and Storage OCI Load Balancer as a Service
• Fully Prepared with all Oracle cloud concepts for exam
• Create a new VM DB System

You will start learn many topics related to Oracle Cloud Exam. Oracle Cloud Infrastructure Architect Associate Exam can be challenging, but with thorough preparation and dedication, you can achieve your certification goals and advance your career in Oracle Cloud technologies. Data modeling is the process of creating a conceptual representation of data and its relationships within an organization. It provides a clear understanding of the data that an organization uses and how it relates to business processes. This model represents high-level business concepts and their relationships without specifying technical details. Logical Data Model defines data elements, their attributes, and the relationships between them at a more detailed level, often using entity-relationship diagrams.Physical Data Model specifies how data will be stored in a database system, including details like table structures, data types, and indexes.

Database design is the process of transforming a data model into a physical database schema that can be implemented in a database management system (DBMS). Table Design involves defining tables, columns, data types, constraints, and keys. It includes decisions about primary keys, foreign keys, and indexing. Normalization is a technique used to minimize data redundancy and dependency by organizing data into separate tables to reduce update anomalies. Performance Optimization Design considerations for optimizing query performance, such as indexing strategies, denormalization (when necessary), and query optimization.

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