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CCE – CERTIFIED CLOUD ENGINEER

Home > Engineer Certificates > CCE – CERTIFIED CLOUD ENGINEER

CCE – CERTIFIED CLOUD ENGINEER

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CCE® CERTIFIED CLOUD ENGINEER

Introduction

Certified Cloud Engineer developed by Certificore for cloud computing and cloud platforms professionals who wants to certify their skills.

Target Group/Audience

This qualification is the advanced of the cloud computing and cloud platforms certification scheme is aimed at anyone working within an organization (internally or externally) who may require to have and demonstrate a solid knowledge and understanding of the cloud computing and cloud platforms and its application. The certification can also cater for candidates seeking personal certification, also in regards to their knowledge and understanding of the requirements and the content of the standard.

This qualification will provide the advanced level of knowledge to its holders and will certify that they have a solid understanding of the standard and its content.
Note that this qualification provides the advanced level of knowledge for:

  1. IT Infra Teams
  2. Data Center Teams
  3. IT Operation Teams
  4. Service Providers
  5. System Integrators
  6. IT Architects
  7. IT Consultants

Learning Objectives

Candidates will be introduced to the principles and core elements of the cloud computing, and more specifically:

  1. Understanding Cloud Computing
  2. Why Cloud
  3. Fundamental Concepts and Models
  4. Virtualization Overview and concepts
  5. Software as a Service (SaaS)
  6. Platform as a Service (PaaS)
  7. Infrastructure as a Service (IaaS)
  8. Cloud Computing Service Models Comparison
  9. Cloud Metering and Billing
  10. How Cloud Computing is Affecting Everyone
  11. Benefits and Economic Incentives of Cloud Computing
  12. Economics of the Cloud
  13. Position in the IT lifecycle
  14. User/Cloud Software Applications
  15. Cloud Computing Deployment models and Comparisons
  16. Cloud Risk Assessment
  17. Common Cloud Control Areas

Examination

CCE Certification Exam is designed to validate a candidate’s knowledge of the contents and requirements of the cloud computing and will allow for further development along the cloud engineer certification path. The CCE exam focuses on the following two (2) categories in the cognitive domain ofBloom’s taxonomy:
 Knowledge
 Comprehension

Entry Criteria/Training Requirements

No specific entry criteria exist for candidates of the CCE examination. However, it is strongly recommended that candidates have at least a basic knowledge of cloud computing and cloud platforms concepts and terminology and have undergone some formal training on the subject with a proposed duration of 16 hours. A detailed breakdown of these training hours, per topic area is provided in the syllabus section.

Assessment Approach

The assessment approach used for the CCE certification focuses on the two basic categories of Knowledge and Comprehension. Knowledge is defined as recalling previously learned material, from facts to theories and represents the lowest level of learning outcomes in the cognitive domain. Such learning outcomes are turned in assessment objectives that include knowing and recalling such as:

 Common and/or basic terms, definitions, concepts and principles of cloud computing and cloud platforms

 Specific cloud computing and cloud platforms requirements and facts

 Cloud computing and cloud platforms methods and tools

Delivery  Paper based
Type 40 Multiple choice questions

Single answer, one of four possible answers Each question is awarded one (1) mark

Duration 1 hour (60 minutes)
For non-native speakers or candidates with a disability, an additional 15 minutes of extra time is allowed.
Pass Mark 65% (26/40)
Invigilator / Proctor Yes . Physical or Web proctoring
Open Book Yes
Prerequisites None
Certification validity N/A

Comprehension is the lowest level of understanding and entails the ability to grasp the meaning of the material taught, including some sort of interpretation, translation or estimation during the process. Such learning outcomes and in turn assessment objectives go beyond simply recalling information and may include:

 Understanding facts, concepts and principles

 Interpreting material (i.e. charts, graphs, text)

 Justifying a Process, procedure and assessment method

The assessment incorporates the above learning outcomes as it uses assessment objectives that cater for the above cognitive domain categories.

Examination Format

The tests are derived from a regularly updated question test bank (QTB) based on the test specification detailed below. Questions are used interchangeably among test sets. The overall difficulty level of each test is the same with any other test. A candidate is never assigned the same test in the case of multiple examination attempts.

Detailed Syllabus

The syllabus contains references to the cloud computing and cloud platforms domain and is structured into sections relating to major subject headings and numbered with a single digit section number.

The recommended training hours, per Syllabus Category are also provided in this table.

At the end of the training session, allow 30 minutes for the candidates to familiarize themselves with the exam process and the sample questions.

An additional hour could be provided for the sample test and/or answering the sample test for better preparation of the exams.

Syllabus details for CCE Certification and Training :

CATEGORY REF KNOWLEDGE SET
CCE 1.1  Introduction, to Cloud Computing CCE-1.1.1 Definitions and Concepts
CCE-1.1.2 Cloud Computing and Virtualization in Context
CCE-1.1.3 Suitability to Organizations
CCE-1.1.4 Cloud Service Models
CCE-1.1.5 Cloud Deployment Models
CCE-1.1.6 Open Cloud
CCE-1.1.7 Private Cloud
CCE-1.1.8 Cloud Service Providers
Proposed Training Time: 120 minutes
CCE-1.2 Cloud Computing Management Practices CCE-1.2.1 Main Decision : Public or Private Cloud
CCE-1.2.2 Adopting Cloud Computing: Roadmaps, Vendor Relations
CCE-1.2.3 Cloud Readiness and Cloud Migration
CCE-1.2.4 Operation of Cloud Services
CCE-1.2.5 Cloud Computing and Service Management
CCE-1.2.6 Governing Cloud Computing

Compliance and Risk Management

Financial Management

Strategic Supplier Management

Proposed Training Time: 240 minutes
CCE-1.3 Amazon Web Services Engineering CCE-1.3.1 How to start with AWS Core Services
CCE-1.3.2 How to use Amazon Virtual Private Cloud (VPC)
CCE-1.3.3 How to use  Elastic Compute Cloud (EC2)
CCE-1.3.4 How to use EBS
CCE-1.3.5 How to use AWS Data Storage Services
CCE-1.3.6 How to use AWS Secuirty
CCE-1.3.7 How to use AWS Monitoring
CCE-1.3.8 AWS Automation
CCE-1.3.9 AWS Architecture
CCE-1.3.10 AWC Cloud Formation
CCE-1.3.11 AWS Networking Services
CCE-1.3.12 How to use AWS Management Services
Proposed Training Time: 120 minutes
CCE-1.4 Google Cloud Services Engineering CCE-1.4.1  

Intro to Google Cloud Platform

CCE-1.4.2 Google Cloud Compute Engine
CCE-1.4.3 Google Cloud App Engine
CCE-1.4.4 GCP Networking (VPC)
CCE-1.4.5 CDN on GCP
CCE-1.4.6 How to Use Cloud SQL on GCP
CCE-1.4.7 How to Use GCP Cloud Storage and Database Services
CCE-1.4.8 GCP Management Tools
CCE-1.4.9 Big Data on GCP
Proposed Training Time: 240 minutes
CCE-1.5 Azure Cloud Services Engineering CCE-1.5.1

 

Introduction to Azure Services
CCE-1.5.2 Azure Compute Services
CCE-1.5.3 Azure App Services
CCE-1.5.4 Azure Network Services
CCE-1.5.5 Azure Storage Services
CCE-1.5.6 Azure Database Services
CCE-1.5.7 Big Data on Azure
CCE-1.5.8 IoT on Azure
CCE-1.5.9 Azure Monitoring and Security Services
Proposed Training Time: 120 minutes
CCE-1.6 Open Stack Cloud Engineering CCE-1.6.1 Introduction to OpenStack
CCE-1.6.2 OpenStack Architecture

 

CCE-1.6.3 OpenStack Configuration

 

CCE-1.6.4 NOVA : Compute Service
CCE-1.6.5 GLANCE : Image Service
CCE-1.6.6 KEYSTONE : Identity Service
CCE-1.6.7 NEUTRON : Netwotking Service
CCE-1.6.8 TROVE : Database Service
CCE-1.6.9 CINDER and SWIFT : Storage Services
CCE-1.6.10 HEAT : Orchestration Service
CCE-1.6.11 CEILOMETER : Telemetry Service
CCE-1.6.12 HORIZON : Dashboard Service
CCE-1.6.13 How to plan Open stack Deployment
 Proposed Training Time: 120 minutes

Test Specification


The examination will consist of six (6) sections with the following structure:

CATEGORY DESCRIPTION EXAM (%)
1 CCE 1.1  Introduction, to Cloud Computing 5.0%
2 CCE-1.2 Cloud Computing Management Practices 20.0%
3 CCE-1.3 Amazon Web Services Engineering 20.0%
4 CCE-1.4 Google Cloud Services Engineering 20.0%
5 CCE-1.5 Azure Cloud Services Engineering 20.0%
6 CCE-1.6 Open Stack Cloud Engineering 15.0%
TOTAL 100 %

 

Recommended Reading for Certification Exam Preperation

  1. Cloud Computing: Concepts, Technology & Architecture by Thomas Erl
  2. Cloud Computing 2nd Edition: 2018 by Mr. Ray Rafaels
  3. Architecting the Cloud: Design Decisions for Cloud Computing Service Models (SaaS, PaaS, and IaaS) by Michael J. Kavis
  4. Cloud Computing: Master the Concepts, Architecture and Applications with Real-world examples and Case studies by Kamal Kant Hiran
  5. Cloud Computing (The MIT Press Essential Knowledge Series): The MIT Press Essential Knowledge Series by Nayan B. Ruparelia
  6. AWS Certified Solutions Architect Official Study Guide: Associate Exam (Aws Certified Solutions Architect Official: Associate Exam) by Joe Baron
  7. Official Google Cloud Certified Associate Cloud Engineer Study Guide by Dan Sullivan
  8. Hands-On Cloud Administration in Azure: Implement, monitor, and manage important Azure services and components including IaaS and PaaS by Mustafa Toroman
  9. Introducing Windows Azure for IT Professionals 1st Edition by Mitch Tulloch
  10. Migrating to Azure: Transforming Legacy Applications into Scalable Cloud-First Solutions by Josh Garverick
  11. Learning Microsoft Azure Storage: Build large-scale, real-world apps by effectively planning, deploying, and implementing Azure storage solutions by Mohamed Waly
  12. OpenStack for Architects: Design production-ready private cloud infrastructure, 2nd Edition by Ben Silverman
  13. Learning OpenStack Paperback by Alok Shrivastwa
  14. Mastering OpenStack – Second Edition: Design, deploy, and manage clouds in mid to large IT infrastructures by Omar Khedher
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