Cloud Certified Professional (CCP) Course Catalog

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1 Certified Professional (CCP) Course Catalog The Certified Professional (CCP ) program from the Arcitura School is dedicated to excellence in the fields of cloud computing technology, architecture, security, governance and capacity. A collection of courses establishes a set of vendor-neutral industry certifications with different areas of specialization. Arcitura has been responsible for certifying IT professionals in over 60 countries, across all types of industries, including numerous Fortune 500 companies, international government agencies, organizations in defense communities, and many academic institutions. Silver Platypus Pty Ltd is the Licensed Training Partner of Arcitura Education in Australia, South Africa and also an Authorised Training Partner in other regions of the world. Founded by best-selling author Thomas Erl, this curriculum enables IT professionals to develop real-world cloud computing proficiency. Because of the vendor-neutral focus of the course materials, the skills acquired by attaining School certifications are applicable to any vendor or cloud platform. This catalog describes the CCP course modules that are offered by Silver Platypus Pty Ltd. Level 1, 530 Lt Collins St, Melbourne, VIC 3000, Australia info@silverplatypus.com.au Phone:

2 Certifications Technology Professional Architect Security Specialist Governance Specialist Storage Specialist Virtualization Specialist C90.01 Fundamental Computing C90.02 Technology Concepts C90.03 Technology Lab C90.04 Fundamental Architecture C90.05 Advanced Architecture C90.06 Architecture Lab C90.07 Fundamental Security C90.08 Advanced Security C90.09 Security Lab C90.10 Fundamental Governance C90.11 Advanced Governance C90.12 Governance Lab C90.13 Fundamental Storage C90.14 Advanced Storage C90.15 Storage Lab C90.16 Fundamental Virtualization C90.17 Advanced Virtualization C90.18 Virtualization Lab 02

3 Module 1 Fundamental Computing (Exam C90.01) Module 2 Technology Concepts (Exam C90.02) This foundational course module provides end-to-end coverage of fundamental cloud computing topics as they pertain to both technology and business considerations. Computing Terminology and Concepts The Business and Technology Drivers Behind Computing The Characteristics of a Understanding Virtualization, Scaling, Elasticity, Resiliency and Measured Usage Benefits, Risks and Challenges of Computing Adoption SaaS, PaaS and IaaS Delivery Models (and how they can be combined) Public, Private, Hybrid and Community Deployment Models Business Cost Metrics and Formulas for Comparing and Calculating and On-Premise Solution Costs SLAs and Formulas for Calculating and Rating QoS Characteristics This course module explores a range of the most important and relevant technology-related topics that pertain to contemporary cloud computing platforms. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topic areas that address cloud service architecture, cloud security threats and technologies, virtualization and data processing and storage. Computing Technology Mechanisms Virtual Servers, Failover Systems, Resource Replication and Ready-Made Environments Automated Scaling Listeners, Pay-Per-Use Monitors and Multi-Device Brokers Balancing and Bursting Architectures Common Risks, Threats and Vulnerabilities of -Based Services and -hosted Solutions Security Mechanisms Used to Counter Threats and Attacks -based Security Groups and Hardened Virtual Server Images -Based Web Services and REST Services Storage Benefits, Challenges and Technologies (including SQL vs. NoSQL structures) Service Testing Considerations 03

4 Module 3 Technology Lab (Exam C90.03) Module 4 Fundamental Architecture (Exam C90.04) This course module presents participants with a series of exercises and problems designed to test their ability to apply acquired knowledge of the topics previously covered in Modules 1 and 2. Completing this lab will highlight areas that require further attention and will help prove hands-on proficiency in cloud computing concepts, technologies and practices as they are applied and combined to solve real-world problems. As a hands-on lab, this course module provides a set of detailed exercises. Both individual and group exercises are provided, requiring participants to solve a number of inter-related problems with the ultimate goal of assessing, measuring and planning for the deployment of cloud-based IT resources, as well as establishing cloud computing technology architectures based on Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) delivery models. This course breaks down common cloud computing platforms, delivery models and deployment models into architectural layers, mechanisms and industry technologies. It introduces a patterns-centric view that provides insight into the mechanics of cloud environments and further illustrates how cloud based services and solutions can relate to, utilize and be comprised of distributed technology artifacts and components. Understanding the Technology Architecture of Private s, Public s, and IaaS, PaaS and SaaS Environments 12 New Computing Technology Mechanisms, including Hypervisors, Resource Clusters, Load Balancers, SLA Monitors and more 19 Architectural Models and Patterns, including Dynamic Scalability, Resource Pooling, Rapid Provisioning, Usage Monitoring and more 04

5 Module 5 Advanced Architecture (Exam C90.05) Module 6 Architecture Lab (Exam C90.06) This course module provides a deep dive into cloud technology architecture layers that enable elasticity, resiliency and multi-tenancy characteristics of cloud environments, and further covers various specialized architectural models and design patterns. Twenty new architectural models are covered, including: Elastic Resource Capacity, Elastic Network Capacity and Elastic Disk Provisioning Hypervisor Clustering, Redundant Storage, Zero Downtime and Dynamic Failure Detection and Recovery Service Load Balancing, Load Balanced Virtual Server Instances and Load Balanced Virtual Switches Dynamic Data Normalization, Synchronized Operating State and Persistent Virtual Network Configurations As a continuation of Modules 4 and 5, this lab-style course provides a series of hands-on exercises that enable participants to apply their knowledge of cloud architecture, cloud computing mechanisms and cloud computing design patterns to solve complex problems. Participants are required to complete a number of inter-related exercises based on a range of technology architecture case study scenarios. To solve a given problem, participants need to determine the correct combination of cloud computing mechanisms, technologies, and design patterns in relation to different cloud deployment and delivery models. Both individual and group exercises are provided. Group exercises can optionally be completed by individuals. 05

6 Module 7 Fundamental Security (Exam C90.07) Module 8 Advanced Security (Exam C90.08) This foundational course provides a well-rounded, end-to-end presentation of essential techniques, patterns and industry technologies for establishing cloud-based security controls and security architectures. The cloud security fundamentals covered in Module 2 are continued by introducing threat categorizations and new cloud security mechanisms. The course then delves into a series of cloud security patterns that explore a variety of topics, including cloud network security, identity and access management, and trust assurance. Security Basics and Common Security Mechanisms Security Threats and Threat Categorization Methodology, Identification and Treatment of Common Threats Network Security Patterns and Supporting Mechanisms, Securing Network Connections and Authentication Gateways Collaborative Monitoring and Logging, Independent Auditing, Identity and Access Management Patterns and Supporting Mechanisms Federating and Enabling Secure Interoperability among Consumers, Trust Assurance Patterns and Supporting Mechanisms, Trust Attestation and Establishing Trustworthiness This advanced course covers cloud security mechanisms and architectural design patterns that address data and access control security for virtual machines, as well as trust boundaries, geotagging and BIOS security. The course also explains common methods used by attackers to breach organizational resources and provides a methodology for countering such attacks. The course concludes by demonstrating the relationship between threats, attacks, and risks via threat modeling. Service Security Patterns and Supporting Mechanisms Virtual Machine Platform Protection Patterns Considerations for Setting Up Secure Ephemeral Perimeters Trusted Resource Pools and Resource Access Control Permanent Data Access Loss Protection and Data Breach Protection Isolated Trust Boundaries The Attack Lifecycle and the Security Lifecycle Proactive Mitigation vs. Incidence Response Threats, Vulnerabilities, Impacts from Exploitation Threat Modeling, Threats and Mitigations 06

7 Module 9 Security Lab (Exam C90.09) Module 13 Fundamental Storage (Exam C90.13) As a continuation of Modules 7 and 8, this lab-style course provides a series of hands-on exercises that enable participants to apply their knowledge. Participants will apply different combinations of cloud security patterns and mechanisms in order to complete a series of exercises pertaining to solving cloud security, risk, compliance and asset protection-related scenarios and problems. This course expands upon the cloud storage topics introduced in Module 2 by further exploring cloud storage devices, structures and technologies from a more technical and implementation-specific perspective. A set of cloud storage mechanisms and devices are established, along with in-depth coverage of NoSQL and cloud storage services. Fundamental Storage Concepts (including IOPS, Disk Throughput) Disk Storage Concepts (including Access Time, Seek Time, Relational Latency) File Systems and Volume Management (including Distributed/Clustered File Systems, Concatenation, Partitioning) RAIDs (Descriptions, Comparison, Penalties) I/O and Capacity (Concatenation, Vertical Tiering, Disk Splitting) Types of Storage (Data Processing, Local, Directly Attached, Remote) Storage Levels (Block, File, Object) Basic Storage Infrastructure Components (including I/O Flow, NICs, Storage Switches) Backup Fundamentals (including Snapshots, Disaster Recovery/Protection, Recovery Time) 07

8 Module 14 Advanced Storage (Exam C90.14) Module 15 Storage Lab (Exam C90.15) A number of advanced topics are presented in this course, through the introduction of contemporary cloud storage technologies and devices and the exploration of cloud storage architecture through design patterns and models. Consumer Storage Access Types HBA Replication IP and Non-IP Storage Fibre Channel Storage and Fibre Channel over Ethernet Front and Back-End Storage Device Components Storage Network Components HBAs FC, iscsi and FCoE and Software Storage Adapters LUN Presenting and LUN Expansion (Striped and Concatenated) LUN, Device and Path Masking Fibre Channel Storage Area Network (FC SAN) Components FCoE and Converged Infrastructure (including FC Point-to-Point, Arbitrated Loop, Switched Fabric) Lossless Ethernet, Congestion Notification and Enhanced Transmission Selection IP SAN, FCIP and IP Storage IsolationMapping Precepts, Processes and Organizational Roles A hands-on lab during which participants apply the patterns, concepts, practices, devices and mechanisms covered in previous courses in order to complete a series of exercises that pertain to solving cloud storage problems and creating cloud storage architectures. Participants are required to complete a number of inter-related exercises based on a range of cloud storage technology architecture case study scenarios. To solve a given problem, participants need to determine the correct combination of cloud computing mechanisms, technologies and design patterns. Both individual and group exercises are provided. Group exercises can optionally be completed by individuals. 08

9 Module 16 Fundamental Virtualization (Exam C90.16) Module 17 Advanced Virtualization (Exam C90.17) This course module provides solid, end-to-end, foundational coverage of virtualization technologies, types and mechanisms. A Brief History of Virtualization Virtualization Concepts and Definitions Traditional vs. Contemporary Virtualization 10 Virtualization Types (including Data Center, Storage, Application, Desktop, Network, Server) 18 Virtualization Mechanisms (including Virtualization Agent, Virtual Server State Manager, Virtual Appliance, Virtual Firewall) Virtual Machine and Hypervisor Drill-Downs vcpu, vram, vdisk and Virtual-to-Virtual Conversion Thick and Thin Provisioning, Virtual Switches and NIC Teaming Service Virtualization ROI and Strategic Benefits Virtualization Considerations for Providers and Consumers Resource Pooling and Management, Virtual Infrastructure and Management Monitoring and KPIs Capacity Planning and Management Considerations This course builds upon Module 16 by exploring a range of industry practices and management and design topics for cloud-based contemporary virtualization environments, breaking them down into design patterns and technologies that can be combined to form common cloud-based technology architectures and solutions. Connectivity and Accessibility (including Virtual Server and Virtual Switch Isolation, NAT/Host and External Connectivity) Performance and Capacity (including Direct I/O and Single Root I/O Virtualization, LUN Access, NIC Teaming) Scaling (including Elastic Resources, Load Balanced Virtual Server and Virtual Switches, Resource Workload Management) Hosting (including different forms of Virtual Server and Host Affinity/Non-Affinity, Memory Over-Committing, Power Consumption Reduction) Failover and Recovery (including Resource Pooling and Reservation, Auto Crash Recovery, Hypervisor Clustering, Zero Downtime) Migration and Relocation (including Cross-Hypervisor Workload Mobility, Non-Disruptive Service Relocation, Persistent Virtual Network Configuration, Virtual Server Folder Migration, Virtual Disk Splitting, Stateless Hypervisor) 09

10 Module 18 Virtualization Lab (Exam C90.18) As a continuation of Modules 16 and 17, this lab-style course provides a series of hands-on exercises that enable participants to apply their knowledge of virtualization technologies, mechanisms and patterns to solve complex problems and assemble custom virtualized solutions. Participants are required to complete a number of inter-related exercises based on a range of cloud virtualization technology architecture case study scenarios. To solve a given problem, participants need to determine the correct combination of cloud computing mechanisms, technologies and design patterns. Both individual and group exercises are provided. Group exercises can optionally be completed by individuals. Big Data Science Certified Professional (BDSCP) The Big Data Science Certified Professional (BDSCP) program establishes a series of vendor-neutral industry certifications dedicated to areas of specialization in the fields of Big Data science, analysis, analytics, business intelligence and technology architecture, as well as design, development and governance. SOA Certified Professional (SOACP) The SOA Certified Professional (SOACP) program establishes a series of vendor-neutral industry certifications dedicated to areas of specialization in the fields of service-oriented architecture (SOA), service-orientation and service-oriented computing. To learn more about BDSCP, CCP & SOACP visit or Silver Platypus Pty Ltd, Level 1, 530 Little Collins St Melbourne, VIC 3000 Australia T: E: info@silverplatypus.com.au w: silverplatypus.com.au 10 All graphics and descriptions related to the Certified Professional Program are copyrights of Arcitura Education Inc. The Silver Platypus logo is the copyright of Silver Platypus Pty Ltd."

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