CompTIA Cloud+

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Duration 5 days – 35 hrs

 

Overview.

 

The CompTIA Cloud+ training course is designed to provide a comprehensive understanding of cloud computing principles and best practices. This course focuses on the skills and knowledge needed to implement and manage cloud technologies effectively. Participants will learn about cloud infrastructure, security, scalability, virtualization, deployment models, and services. 

 

Objectives

 

  • Prepare to deploy cloud solutions.
  • Deploy a pilot project.
  • Test a pilot project deployment.
  • Design a secure network for cloud deployment.
  • Determine CPU and memory sizing for cloud deployments.
  • Determine storage requirements for cloud deployments.
  • Plan Identity and Access Management for cloud deployments.
  • Analyze workload characteristics to ensure successful migration to the cloud.
  • Secure systems to meet access requirements.
  • Maintain cloud systems.
  • Implement backup, restore, and business continuity measures.
  • Analyze cloud systems for required performance.
  • Analyze cloud systems for anomalies and growth forecasting.
  • Troubleshoot deployment, capacity, automation, and orchestration issues.
  • Troubleshoot connectivity issues.
  • Troubleshoot security issues.

Audience

  • IT professionals who want to advance their cloud computing skills.
  • Cloud administrators, systems administrators, and network administrators.
  • IT professionals who are planning to earn the CompTIA Cloud+ certification.
  • Individuals working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud who wish to understand cloud technologies at a deeper level.

 

Pre- requisites 

  • Basic understanding of networking and virtualization.
  • Experience with IT infrastructure, server management, and cloud services is recommended.
  • Familiarity with fundamental IT concepts such as TCP/IP, firewalls, and server storage.

Course Content

 

Module 1: Preparing to Deploy Cloud Solutions

  • Describe the Interaction of Cloud Components and Services
  • Describe the Interaction of Non-cloud Components and Services
  • Evaluate Existing Components and Services for Cloud Deployment
  • Evaluate Automation and Orchestration Options
  • Prepare for Cloud Deployment

Module 2: Deploying a Pilot Project

  • Manage Change in a Pilot Project
  • Execute Cloud Deployment Workflow
  • Complete Post-Deployment Configuration

Module 3: Testing Pilot Project Deployments

  • Identify Cloud Service Components for Testing
  • Test for High Availability and Accessibility
  • Perform Deployment Load Testing
  • Analyze Test Results

Module 4: Designing a Secure and Compliant Cloud Infrastructure

  • Design Cloud Infrastructure for Security
  • Determine Organizational Compliance Needs

Module 5: Designing and Implementing a Secure Cloud Environment

  • Design Virtual Network for Cloud Deployment
  • Determine Network Access Requirements
  • Secure Networks for Cloud Interaction
  • Manage Cloud Component Security
  • Implement Security Technologies

Module 6: Planning Identity and Access Management for Cloud Deployments

  • Determine Identity Management and Authentication Technologies
  • Plan Account Management Policies for the Network and Systems
  • Control Access to Cloud Objects
  • Provision Accounts

Module 7: Determining CPU and Memory Sizing for Cloud Deployments

  • Determine CPU Size for Cloud Deployment
  • Determine Memory Size for Cloud Deployment

Module 8: Determining Storage Requirements for Cloud Deployments

  • Determine Storage Technology Requirements
  • Select Storage Options for Deployment
  • Determine Storage Access and Provisioning Requirements
  • Determine Storage Security Options

Module 9: Analyzing Workload Characteristics to Ensure Successful Migration

  • Determine the Type of Cloud Deployment to Perform
  • Manage Virtual Machine and Container Migration
  • Manage Network, Storage, and Data Migration

Module 10: Maintaining Cloud Systems

  • Patch Cloud Systems
  • Design and Implement Automation and Orchestration for Maintenance

Module 11: Implementing Backup, Restore, Disaster Recovery, and Business Continuity Measures

  • Back Up and Restore Cloud Data
  • Implement Disaster Recovery Plans
  • Implement Business Continuity Plans

Module 12: Analyzing Cloud Systems for Performance

  • Monitor Cloud Systems to Measure Performance
  • Optimize Cloud Systems to Meet Performance Criteria

Module 13: Analyzing Cloud Systems for Anomalies and Growth Forecasting

  • Monitor for Anomalies and Resource Needs
  • Plan for Capacity
  • Create Reports on Cloud System Metrics

Module 14: Troubleshooting Deployment, Capacity, Automation, and Orchestration Issues

  • Troubleshoot Deployment Issues
  • Troubleshoot Capacity Issues
  • Troubleshoot Automation and Orchestration Issues

Module 15: Troubleshooting Connectivity Issues

  • Identify Connectivity Issues
  • Troubleshoot Connectivity Issues

Module 16: Troubleshooting Security Issues

  • Troubleshoot Identity and Access Issues
  • Troubleshoot Attacks
  • Troubleshoot Other Security Issues

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        Target Audience  
  • Warehouse supervisors, team leaders, and managers.
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  • Logistics and distribution supervisors.
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Course Outline

  Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls  
  • Warehouse roles within the supply chain.
  • End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
  • Physical stock movement and corresponding system transactions.
  • Responsibilities, authorization, and segregation of duties.
  • Common operational weaknesses and audit evidence.
  Module 2: Warehouse Layout and Storage Systems  
  • Functional zones, movement paths, and space utilization.
  • Receiving, storage, picking, staging, and dispatch areas.
  • Storage options: floor stacking, shelving, pallet racking, and bin storage.
  • Fixed and dynamic location systems.
  • Product slotting based on movement, size, handling needs, and compatibility.
  • Layout bottlenecks and their effects on productivity and inventory control.
  Module 3: Receiving and Put-Away  
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  • Put-away rules and location confirmation.
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  Module 4: Storage, Stock Rotation, and Replenishment  
  • Storage discipline and location integrity.
  • FIFO and FEFO principles, applications, and limitations.
  • Batch, lot, and expiry-date management.
  • Controls for slow-moving, obsolete, damaged, and expired stock.
  • Replenishment of picking locations.
  • Supervision and review of stock rotation compliance.
    Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment  
  • Discrete, batch, zone, and wave picking.
  • Selecting picking strategies for different order profiles.
  • Pick paths, location sequencing, and travel reduction.
  • Replenishment coordination and stock availability.
  • Picking verification and error prevention.
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  • Handling short picks, substitutions, cancellations, and returns.
  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
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  • Transaction controls for receipts, transfers, issues, returns, and adjustments.
  • Common causes of physical and system stock mismatches.
  • Barcode scanning and WMS control points.
  • Inventory reconciliation and supporting documentation.
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  Module 7: Cycle Counting and Physical Inventory  
  • Cycle counting versus full physical inventory.
  • ABC classification and risk-based count priorities.
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  • Count preparation, blind counting, and movement controls.
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  Module 8: Shrinkage Reduction and Inventory Protection  
  • Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
  • Access controls and accountability for stock movements.
  • Controls for high-value and sensitive inventory.
  • Returns, write-offs, scrap, and disposal controls.
  • Exception reporting and unusual transaction patterns.
  • Investigating recurring losses and unexplained adjustments.
  • Preventive and detective controls for shrinkage reduction.
    Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs  
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  • Put-away productivity and replenishment performance.
  • Picking productivity and order accuracy.
  • Inventory accuracy and cycle count variance.
  • Space utilization and storage capacity.
  • Shrinkage, damage, and expiry indicators.
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  Module 11: Warehouse Improvement Planning  
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  Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan  
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