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Master in Cloud Computing Course Updated 2024

Master in Cloud Computing Course

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Years of R & D in Syllabus

Course Description: This course provides an in-depth understanding of advanced Windows client technologies and their implementation. Students will learn how to configure and troubleshoot advanced features of Windows clients, including security, networking, and system maintenance.

Course Objectives:

Upon completion of this course, students will be able to:

  • Understand advanced Windows client features and their implementation.
  • Configure and troubleshoot Windows client security features.
  • Configure and troubleshoot advanced Windows networking features.
  • Implement and maintain Windows client virtualization and cloud-based solutions.
  • Configure and troubleshoot Windows client backup and recovery solutions.
  • Understand and implement Windows client management and maintenance tools.

Course Topics:

The course will cover the following topics:

  • Advanced Windows client features
    1. Overview of advanced Windows client technologies
    2. Differences between Windows 10 and previous versions
    3. Security and privacy features
    4. Networking and wireless technologies
  • Windows client security
    1. Configuring and managing Windows Defender
    2. Windows Firewall
    3. User account and group management
    4. Encrypting File System (EFS)
    5. BitLocker and BitLocker To Go
  • Advanced Windows networking
    1. Configuring advanced network settings
    2. Virtual Private Networks (VPNs)
    3. Direct Access
    4. Wireless network configuration
    5. Network troubleshooting
  • Windows client virtualization and cloud-based solutions
    1. Hyper-V and Virtual Desktop Infrastructure (VDI)
    2. Microsoft Azure
    3. Windows client backup and recovery
  • Configuring and managing Windows Backup and Restore
    1. File History and OneDrive Backup
    2. System Image Backup
    3. System Restore and Refresh
    4. Windows client management and maintenance tools
  • Windows Update and Windows Update for Business
    1. Group Policy and Group Policy Preferences
    2. Microsoft Intune and Microsoft Endpoint Configuration Manager (SCCM)
    3. PowerShell and Windows Management Instrumentation (WMI)

Course Description: This course provides an in-depth understanding of advanced Windows Server 2016 technologies and their implementation. Students will learn how to configure and troubleshoot advanced features of Windows Server 2016, including security, networking, and system maintenance

Course Objectives:

Upon completion of this course, students will be able to:

  • Understand advanced Windows Server 2016 features and their implementation.
  • Configure and troubleshoot Windows Server 2016 security features.
  • Configure and troubleshoot advanced Windows Server 2016 networking features.
  • Implement and maintain Windows Server 2016 virtualization and cloud-based solutions.
  • Configure and troubleshoot Windows Server 2016 backup and recovery solutions.
  • Understand and implement Windows Server 2016 management and maintenance tools.

Course Topics:

The course will cover the following topics:

  • Advanced Windows Server 2016 features
    • Overview of advanced Windows Server 2016 technologies
    • Differences between Windows Server 2016 and previous versions
    • Security and privacy features
    • Networking and wireless technologies
  • Windows Server 2016 security
    • Configuring and managing Windows Server 2016 security features
    • Group Policy and Group Policy Preferences
    • User account and group management
    • Certificate Services
    • Active Directory Certificate Services (AD CS)
    • Active Directory Federation Services (AD FS)
  • Implementing enterprise storage solutions
    • Overview of DAS, NAS, and SANs
    • Comparing Fibre Channel, iSCSI, and Fibre Channel over Ethernet
    • Understanding iSNS, DCB, and MPIO
    • Configuring sharing in Windows Server 2016
  • Installing and configuring Hyper-V and virtual machines
    • Overview of Hyper-V
    • Installing Hyper-V
    • Configuring storage on Hyper-V host servers
    • Configuring networking on Hyper-V host servers
    • Configuring Hyper-V virtual machines
    • Managing virtual machines
  • Implementing Network Load Balancing
    • Overview of NLB
    • Configuring an NLB cluster
    • Planning an NLB implementation
  • Planning and implementing an IPv4 network
    • Planning IPv4 addressing
    • Configuring an IPv4 host
    • Managing and troubleshooting IPv4 network connectivity
  • Implementing DHCP
    • Overview of the DHCP server role
    • Deploying DHCP
    • Managing and troubleshooting DHCP
  • Implementing IPv6
    • Overview of IPv6 addressing
    • Configuring an IPv6 host
    • Implementing IPv6 and IPv4 coexistence
    • Transitioning from IPv4 to IPv6
  • Installing and configuring domain controllers
    • Overview of AD DS
    • Overview of AD DS domain controllers
    • Deploying a domain controller
  •  Managing objects in AD DS
    • Managing user accounts
    • Managing groups in AD DS
    • Managing computer objects in AD DS
    • Using Windows PowerShell for AD DS administration
    • Implementing and managing OUs

Skills Measured

  • Manage Azure identities and governance (15–20%)
  • Implement and manage storage (15–20%)
  • Deploy and manage Azure compute resources (20–25%)
  • Configure and manage virtual networking (20-25%)
  • Monitor and maintain Azure resources (10–15%)

Manage Azure identities and governance (15–20%)

  • Manage Azure Active Directory (Azure AD) objects
    • Create users and groups
    • Manage licenses in Azure AD
    • Create administrative units
    • Manage user and group properties
    • Manage device settings and device identity
    • Perform bulk updates
    • Manage guest accounts
    • Configure self-service password reset
  • Manage access control
    • Create custom role-based access control (RBAC) and Azure AD  roles
    • Provide access to Azure resources by assigning roles at different scopes
    • Interpret access assignments
    • Manage Azure subscriptions and governance
    • Configure and manage Azure Policy
    • Configure resource locks
    • Apply and manage tags on resources
    • Manage resource groups
    • Manage subscriptions
    • Manage costs by using alerts, budgets, and recommendations
    • Configure management groups

Implement and manage storage (15–20%)

  • Configure access to storage
    • Configure network access to storage accounts
    • Create and configure storage accounts
    • Generate shared access signature tokens
    • Configure stored access policies
    • Manage access keys
    • Configure Azure AD authentication for a storage account
    • Configure storage encryption
  • Manage data in Azure storage accounts
    • Create import and export jobs
    • Manage data by using Azure Storage Explorer and AzCopy
    • Implement Azure Storage redundancy
    • Configure object replication
  • Configure Azure Files and Azure Blob Storage
    • Create an Azure file share
    • Configure Azure Blob Storage
    • Configure storage tiers
    • Configure blob lifecycle management

Deploy and manage Azure compute resources (20–25%)

  • Automate deployment of resources by using templates
    • Modify an ARM template
    • Deploy a template
    • Save a deployment as an ARM template
    • Deploy virtual machine (VM) extensions
  • Create and configure VMs
    • Create a VM
    • Manage images by using the Azure Compute Gallery
    • Configure Azure Disk Encryption
    • Move VMs from one resource group to another
    • Manage VM sizes
    • Add data disks
    • Configure VM network settings
    • Configure VM availability options
    • Deploy and configure VM scale sets
  • Create and configure containers
    • Configure sizing and scaling for Azure Container Instances
    • Configure container groups for Azure Container Instances
    • Configure storage for Azure Kubernetes Service (AKS)
    • Configure scaling for AKS
    • Configure network connections for AKS
    • Upgrade an AKS cluster
  • Create and configure an Azure App Service
    • Create an App Service plan
    • Create an App Service
    • Secure an App Service
    • Configure custom domain names
    • Configure backup for an App Service
    • Configure networking settings
    • Configure deployment settings

Configure and manage virtual networking (20–25%)

  • Configure virtual networks
    • Create and configure virtual networks and subnets
    • Create and configure virtual network peering
    • Configure private and public IP addresses
    • Configure user-defined network routes
  • Configure secure access to virtual networks
    • Create and configure network security groups (NSGs) and application security groups (ASGs)
    • Evaluate effective security rules
    • Implement Azure Bastion
    • Configure service endpoints on subnets
    • Configure private endpoints
  • Configure load balancing
    • Configure Azure Application Gateway
    • Configure an internal or public load balancer
    • Troubleshoot load balancing
  • Monitor virtual Networking
    • Monitor on-premises connectivity
    • Configure and use Azure Monitor for networks
    • Use Azure Network Watcher
    • Troubleshoot external networking
    • Troubleshoot virtual network connectivity

Monitor and maintain Azure resources (10–15%)

  • Monitor resources by using Azure Monitor
    • Configure and interpret metrics
    • Configure Azure Monitor Logs
    • Query and analyze logs
    • Set up alerts and actions
    • Configure monitoring of VMs, storage accounts, and networks by using VM insights
  • Implement backup and recovery
    • Create an Azure Recovery Services vault
    • Create an Azure Backup vault
    • Create and configure backup policy
    • Perform backup and restore operations by using Azure Backup
    • Configure Azure Site Recovery for Azure resources
    • Perform failover to a secondary region by using Azure Site Recovery
    • Configure and review backup reports
    •  

 

 

 

 

 

  • Network Fundamentals
  • Network Access
  • IP Connectivity
  • IP Services
  • Security Fundamentals
  • Automation and Programmability

Introduction to Linux

  • Introduction to Linux
    • History and philosophy of Linux
    • Overview of Linux distributions
    • Installing Linux
    • History and philosophy of Linux
    • Overview of Linux distributions
    • Installing Linux
  • Basic Linux commands
    • The Linux file system
    • Navigating the file system
    • Basic file operations
    • Basic text editing
    • Basic shell commands
  • Linux processes
    • Understanding processes and services
    • Managing processes and services
    • System monitoring and performance tuning
  • Linux users and groups
    • User and group management
    • User and group permissions
    • User environment configuration
    • LDAP and Kerberos authentication
  • System administration
    • System security
    • Networking
    • Backups
    • Virtualization
    • Containerization
    • Backups and disaster recovery
  • Introduction to Red Hat Enterprise Linux

    • Overview of the Red Hat Enterprise Linux operating system
    • Linux distributions and their differences
    • Installing and configuring Red Hat Enterprise Linux
    • The Linux Command Line Interface
  • Basic Linux commands and their syntax

    • Navigating the file system
    • Using command-line utilities
    • Managing Files and Directories
  • Working with files and directories in the Linux file system

    • Permissions and ownership
    • Archiving and compressing files
    • System Administration Tasks
  • Installing and managing software packages

    • Managing users and groups
    • Managing services
    • System monitoring and logging
  • Shell Scripting

    • Basics of shell scripting
    • Creating and executing shell scripts
    • Using variables and control structures in shell scripts
    • Debugging shell scripts

Domain 1: Design Secure Architectures

Task Statement 1: Design secure access to AWS resources.

Knowledge of:

  • Access controls and management across multiple accounts
  • AWS federated access and identity services (for example, AWS Identity and Access Management [IAM], AWS Single Sign-On [AWS SSO])
  • AWS global infrastructure (for example, Availability Zones, AWS Regions) AWS security best practices (for example, the principle of least privilege)
  • Applying AWS security best practices to IAM users and root users (for example, multi-factor authentication [MFA])
  • Designing a flexible authorization model that includes IAM users, groups, roles, and policies
  • Designing a role-based access control strategy (for example, AWS Security Token Service [AWS STS], role switching, cross-account access)
  • Designing a security strategy for multiple AWS accounts (for example, AWS Control Tower, service control policies [SCPs])
  • Determining the appropriate use of resource policies for AWS services
  • Determining when to federate a directory service with IAM roles

Task Statement 2: Design secure workloads and applications.

Knowledge of:

  • Application configuration and credentials security
  • AWS service endpoints
  • Control ports, protocols, and network traffic on AWS
  • Secure application access
  • Security services with appropriate use cases (for example, Amazon Cognito, Amazon GuardDuty, Amazon Macie)
  • Threat vectors external to AWS (for example, DDoS, SQL injection) Skills in:
  • Designing VPC architectures with security components (for example, security groups, route tables, network ACLs, NAT gateways)
  • Determining network segmentation strategies (for example, using public subnets and private subnets)
  • Integrating AWS services to secure applications (for example, AWS Shield, AWS WAF, AWS SSO, AWS Secrets Manager)
  • Securing external network connections to and from the AWS Cloud (for example, VPN, AWS Direct Connect)

Task Statement 3: Determine appropriate data security controls.

Knowledge of:

  • Data access and governance
  • Data recovery
  • Data retention and classification
  • Encryption and appropriate key management Skills in:
  • Aligning AWS technologies to meet compliance requirements
  • Encrypting data at rest (for example, AWS Key Management Service [AWS KMS])
  • Encrypting data in transit (for example, AWS Certificate Manager [ACM] using TLS)
  • Implementing access policies for encryption keys
  • Implementing data backups and replications
  • Implementing policies for data access, lifecycle, and protection
  • Rotating encryption keys and renewing certificates

Domain 2: Design Resilient Architectures

Task Statement 1: Design scalable and loosely coupled architectures.

Knowledge of:

  • API creation and management (for example, Amazon API Gateway, REST API)
  • AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager)
  • Caching strategies
  • Design principles for microservices (for example, stateless workloads compared with stateful workloads)
  • Event-driven architectures
  • Horizontal scaling and vertical scaling
  • How to appropriately use edge accelerators (for example, content delivery network [CDN])
  • How to migrate applications into containers
  • Load balancing concepts (for example, Application Load Balancer)
  • Multi-tier architectures
  • Queuing and messaging concepts (for example, publish/subscribe)
  • Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda)
  • Storage types with associated characteristics (for example, object, file, block)
  • The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS])
  • When to use read replicas
  • Workflow orchestration (for example, AWS Step Functions)

Skills in:

  • Designing event-driven, micro service, and/or multi-tier architectures based on requirements
  • Determining scaling strategies for components used in an architecture design
  • Determining the AWS services required to achieve loose coupling based on requirements
  • Determining when to use containers
  • Determining when to use serverless technologies and patterns
  • Recommending appropriate compute, storage, networking, and database technologies based on requirements
  • Using purpose-built AWS services for workloads

Task Statement 2: Design highly available and/or fault-tolerant architectures.

Knowledge of:

  • AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53)
  • AWS managed services with appropriate use cases (for example, Amazon Comprehend, Amazon Polly)
  • Basic networking concepts (for example, route tables)
  • Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby, active- active failover, recovery point objective [RPO], recovery time objective [RTO])
  • Distributed design patterns
  • Failover strategies
  • Immutable infrastructure
  • Load balancing concepts (for example, Application Load Balancer)
  • Proxy concepts (for example, Amazon RDS Proxy)
  • Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment)
  • Storage options and characteristics (for example, durability, replication)
  • Workload visibility (for example, AWS X-Ray) Skills in:
  • Determining automation strategies to ensure infrastructure integrity
  • Determining the AWS services required to provide a highly available and/or fault-tolerant architecture across AWS Regions or Availability Zones
  • Identifying metrics based on business requirements to deliver a highly available solution
  • Implementing designs to mitigate single points of failure
  • Implementing strategies to ensure the durability and availability of data (for example, backups)
  • Selecting an appropriate DR strategy to meet business requirements
  • Using AWS services that improve the reliability of legacy applications and applications not built for the cloud (for example, when application changes are not possible)
  • Using purpose-built AWS services for workloads

Domain 3: Design High-Performing Architectures

Task Statement 1: Determine high-performing and/or scalable storage solutions.

Knowledge of:

  • Hybrid storage solutions to meet business requirements
  • Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS])
  • Storage types with associated characteristics (for example, object, file, block) Skills in:
  • Determining storage services and configurations that meet performance demands
  • Determining storage services that can scale to accommodate future needs

Task Statement 2: Design high-performing and elastic compute solutions.

Knowledge of:

  • AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate)
  • Distributed computing concepts supported by AWS global infrastructure and edge services
  • Queuing and messaging concepts (for example, publish/subscribe)
  • Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling)
  • Serverless technologies and patterns (for example, Lambda, Fargate)
  • The orchestration of containers (for example, Amazon ECS, Amazon EKS) Skills in: Decoupling workloads so that components can scale independently
  • Identifying metrics and conditions to perform scaling actions
  • Selecting the appropriate compute options and features (for example, EC2 instance types) to meet business requirements
  • Selecting the appropriate resource type and size (for example, the amount of Lambda memory) to meet business requirements

Task Statement 3: Determine high-performing database solutions.

Knowledge of:

  • AWS global infrastructure (for example, Availability Zones, AWS Regions)
  • Caching strategies and services (for example, Amazon ElastiCache)
  • Data access patterns (for example, read-intensive compared with write-intensive)
  • Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
  • Database connections and proxies
  • Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
  • Database replication (for example, read replicas)
  • Database types and services (for example, serverless, relational compared with non-relational, in- memory)

Skills in:

  • Configuring read replicas to meet business requirements
  • Designing database architectures
  • Determining an appropriate database engine (for example, MySQL compared with PostgreSQL)
  • Determining an appropriate database type (for example, Amazon Aurora, Amazon DynamoDB)
  • Integrating caching to meet business requirements

Task Statement 4: Determine high-performing and/or scalable network architectures. Knowledge of: • Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator)

  • How to design network architecture (for example, subnet tiers, routing, IP addressing)
  • Load balancing concepts (for example, Application Load Balancer)
  • Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink)

Skills in:

  • Creating a network topology for various architectures (for example, global, hybrid, multi-tier)
  • Determining network configurations that can scale to accommodate future needs Determining the appropriate placement of resources to meet business requirements
  • Selecting the appropriate load balancing strategy

Task Statement 5: Determine high-performing data ingestion and transformation solutions.

Knowledge of:

  • Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon Quick Sight)
  • Data ingestion patterns (for example, frequency)
  • Data transfer services with appropriate use cases (for example, AWS Data Sync, AWS Storage Gateway)
  • Data transformation services with appropriate use cases (for example, AWS Glue)
  • Secure access to ingestion access points
  • Sizes and speeds needed to meet business requirements
  • Streaming data services with appropriate use cases (for example, Amazon Kinesis) Skills in:
    • Building and securing data lakes
    • Designing data streaming architectures
    • Designing data transfer solutions
    • Implementing visualization strategies
    • Selecting appropriate compute options for data processing (for example, Amazon EMR)
    • Selecting appropriate configurations for ingestion
    • Transforming data between formats (for example, .csv to .parquet)

Knowledge of:

  • Access options (for example, an S3 bucket with Requester Pays object storage)
  • AWS cost management service features (for example, cost allocation tags, multi-account billing)
  • AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
  • AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS)
  • Backup strategies
  • Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types)
  • Data lifecycles
  • Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
  • Storage access patterns
  • Storage tiering (for example, cold tiering for object storage)
  • Storage types with associated characteristics (for example, object, file, block)

Knowledge of:

  • AWS cost management service features (for example, cost allocation tags, multi-account billing)
  • AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
  • AWS global infrastructure (for example, Availability Zones, AWS Regions)
  • AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
  • Distributed compute strategies (for example, edge processing)
  • Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
  • Instance types, families, and sizes (for example, memory optimized, compute optimized, virtualization)
  • Optimization of compute utilization (for example, containers, serverless computing, microservices)
  • Scaling strategies (for example, auto scaling, hibernation)
  • Configuring appropriate NAT gateway types for a network (for example, a single shared NAT gateway compared with NAT gateways for each Availability Zone)
  • Configuring appropriate network connections (for example, Direct Connect compared with VPN compared with internet)
  • Configuring appropriate network routes to minimize network transfer costs (for example, Region to Region, Availability Zone to Availability Zone, private to public, Global Accelerator, VPC endpoints)
  • Determining strategic needs for content delivery networks (CDNs) and edge caching
  • Reviewing existing workloads for network optimizations
  • Selecting an appropriate throttling strategy
  • Selecting the appropriate bandwidth allocation for a network device (for example, a single VPN compared with multiple VPNs, Direct Connect speed)
  •  

** Syllabus Updated on April 2023 -2024

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** The above is the lite syllabus and doesn’t cover the full syllabus. To get full syllabus  Book a Free Demo Now

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