Oracle Cloud Infrastructure Architect Associate Exam

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Techteach 360

36:43

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1 - Introduction

1 - Introduction.mp4

02:39

2 - Centralised Control System with Oracle.mp4

10:50

3 - Distribute Version Control System with Oracle.mp4

03:41

4 - Staging area in Git server in Oracle.mp4

05:31

5 - Bitbucket for servers with Oracle.mp4

09:19

6 - Local Repo servers in Oracle.mp4

04:43

Description

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

Who is this for?

This course is everyone wanting to start learning oracle cloud and preparing for the exam

What You Need to Know?

You need to have fundamental knowledge of Networking before starting this course

You need to have basic knowledge of cloud computing

More details

Description
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.
Who this course is for:
This course is everyone wanting to start learning oracle cloud and preparing for the exam

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