Cloud Computing Basics Practice Exam

Cloud Computing Basics Practice Exam

The Cloud Computing Basics exam is designed to assess an individual’s understanding of cloud computing principles and foundational concepts. This exam covers a wide array of topics related to cloud computing, including the definition and types of cloud services (IaaS, PaaS, and SaaS), cloud deployment models (public, private, hybrid, and community), cloud architecture, security measures, and how cloud computing is transforming business operations.

Who Should Take the Exam?

This exam is suitable for individuals who are new to cloud computing or those seeking to solidify their foundational knowledge. Ideal candidates include:

• Beginners interested in pursuing a career in cloud computing or those who wish to gain a clear understanding of cloud concepts.
• IT professionals aiming to expand their knowledge and expertise in cloud services, including system administrators, network engineers, and IT support personnel.
• Business professionals who want to understand how cloud computing can benefit organizations and streamline operations.
• Students in the fields of information technology, business, or engineering looking to build a strong foundation in cloud computing.
• Individuals preparing for more advanced cloud certifications need to solidify their basic knowledge before progressing to higher-level exams.

Skills Evaluated

Candidates taking the certification exam on the Cloud Computing Applications is evaluated for the following skills:

• Proficiency in developing and deploying cloud-native applications
• Knowledge of cloud computing concepts, architectures, and services
• Understanding of cloud development platforms, tools, and frameworks
• Ability to design scalable, resilient, and secure cloud-based applications
• Experience with containerization, microservices, and serverless computing
• Familiarity with cloud migration strategies and best practices

Cloud Computing Exam Outline

Introduction to the Course

• Data is Everywhere
• Our Learning Objectives

Basic Database Terminology

• Overview
• DBMS, Database Instance and Schema
• Operational Data and OLTP
• Analytics Data and OLAP
• Data Warehouse and Data Lake
• ETL and ELT
• Batch and Stream Processing
• Scaling Up and Out

Database Technologies – What, Where, and Why?

• Overview
• Traditional Relational Database (SQL)
• Non-relational Database (NoSQL)
• Distributed SQL Database (NewSQL)
• In-memory Database (IMDB)
• Time Series Database (TSDB)

Types of NoSQL Databases

• Overview
• #1 - Key-value Database
• #2 - Document Database
• #3 - Wide Column Database
• #4 - Graph Database
• Databases Ranking Review

Database as a Service (DBaaS)

• Overview
• The Challenges of Traditional Databases
• The Concept of DBaaS
• The Advantages of DBaaS
• Azure - DBaaS Portfolio Review
• AWS - DBaaS Portfolio Review
• GCP - DBaaS Portfolio Review

Summary

• Quick Recap and Thank You!

Getting Started

• Welcome
• Our Learning Objectives

Cloud Computing

• Welcome to the World of Cloud Computing
• Private vs Public
• Hybrid-cloud and Multi-cloud
• Hyperscale Cloud Service Providers
• Cloud Service Models
• SaaS - Software as a Service
• IaaS – Infrastructure as a Service
• PaaS – Platform as a Service
• FaaS – Function as a Service
• Demo - AWS, Azure, GCP

Virtualization Technologies

• Introduction
• Underutilized Physical Servers
• Virtualization with Virtual Machines
• Vertical and Horizontal Scaling
• Microservices and Cloud-Native Apps
• Virtualization with Containers
• The Benefits of Containers

Introduction to Infrastructure as a Service (IaaS)

• Introduction and Overview
• IaaS - Transform IT to Utility
• Compute, Storage and Networking
• Demo - IaaS Solution with Microsoft Azure
• Pricing Models
• Main Advantages
• Disadvantages
• Typical Market Use Cases

Course Summary

• Let's Recap and Thank You!