AZURE DEVOPS

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Azure DevOps is a Software as a service (SaaS) platform from Microsoft that provides an end-to-end DevOps toolchain for developing and deploying software. It also integrates with most leading tools on the market and is a great option for orchestrating a DevOps toolchain. Azure DevOps provides developer services for support teams to plan work, collaborate on code development, and build and deploy applications. Azure DevOps supports a culture and set of processes that bring developers and project managers and contributors together to complete software development

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Overview

The Syllabus

Curriculum Designed by Experts

Configure processes and communications (10–15%)

Configure activity traceability and flow of work

Plan and implement a structure for the flow of work and feedback cycles
Identify appropriate metrics related to flow of work, such as cycle times, time to recovery, and lead time

Integrate Azure Pipelines and GitHub Actions with work item tracking tools
Implement traceability policies decided by development
Integrate a repository with Azure Boards

Configure collaboration and communication

Communicate actionable information by using custom dashboards in Azure Boards
Document a project by using tools, such as wikis and process diagrams
Configure release documentation, including release notes and API documentation
Automate creation of documentation from Git history
Configure notifications by using webhooks

Design and implement source control (15–20%)

Design and implement a source control strategy

Design and implement an authentication strategy
Design a strategy for managing large files, including Git LFS and git-fat
Design a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharing

Implement workflow hooks

Plan and implement branching strategies for the source code

Design a branch strategy, including trunk-based, feature branch, and release branch
Design and implement a pull request workflow by using branch policies and branch protections
Implement branch merging restrictions by using branch policies and branch protections

Configure and manage repositories

Integrate GitHub repositories with Azure Pipelines
Configure permissions in the source control repository
Configure tags to organize the source control repository
Recover data by using Git commands
Purge data from source control

Design and implement build and release pipelines (40–45%)

Design and implement pipeline automation

Integrate pipelines with external tools, including dependency scanning, security scanning, and code coverage
Design and implement quality and release gates, including security and governance
Design integration of automated tests into pipelines
Design and implement a comprehensive testing strategy (including local tests, unit tests, integration tests, and load tests)

Design and implement UI testing
Implement orchestration of tools, such as GitHub Actions and Azure Pipelines

Design and implement a package management strategy

Design a package management implementation that uses Azure Artifacts, GitHub Packages, NuGet, and npm

Design and implement package feeds, including upstream sources
Design and implement a dependency versioning strategy for code assets and packages, including semantic versioning and date-based

Design and implement a versioning strategy for pipeline artifacts

Design and implement pipelines

Select a deployment automation solution, including GitHub Actions and Azure Pipelines
Design and implement an agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainability

Develop and implement pipeline trigger rules
Develop pipelines, including classic and YAML

Design and implement a strategy for job execution order, including parallelism and multi-stage

Develop complex pipeline scenarios, such as containerized agents and hybrid
Configure and manage self-hosted agents, including virtual machine (VM) templates and containerization

Create reusable pipeline elements, including YAML templates, task groups, variables, and variable groups

Design and implement checks and approvals by using YAML environments

Design and implement deployments

Design a deployment strategy, including blue/green, canary, ring, progressive exposure, feature flags, and A/B testing
Design a pipeline to ensure reliable order of dependency deployments

Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions

Plan for minimizing downtime during deployments by using VIP swap, load balancer, and rolling deployments

Design a hotfix path plan for responding to high-priority code fixes
Implement load balancing for deployment, including Azure Traffic Manager and the Web Apps feature of Azure App Service

Implement feature flags by using Azure App Configuration Feature Manager
Implement application deployment by using containers, binary, and scripts

Design and implement infrastructure as code (IaC)

Recommend a configuration management technology for application infrastructure
Implement a configuration management strategy for application infrastructure, including IaC
Define an IaC strategy, including source control and automation of testing and deployment
Design and implement desired state configuration for environments, including Azure Automation

State Configuration, Azure Resource Manager, Bicep, and Azure Automanage Machine Configuration

Maintain pipelines

Monitor pipeline health, including failure rate, duration, and flaky tests
Optimize pipelines for cost, time, performance, and reliability
Analyze pipeline load to determine agent configuration and capacity
Design and implement a retention strategy for pipeline artifacts and dependencies

Develop a security and compliance plan (10–15%)

Design and implement a strategy for managing sensitive information in automation

Implement and manage service connections
Implement and manage personal access tokens
Implement and manage secrets, keys, and certificates by using Azure Key Vault, GitHub secrets, and Azure Pipelines secrets
Design and implement a strategy for managing sensitive files during deployment
Design pipelines to prevent leakage of sensitive information

Automate security and compliance scanning

Automate analysis of source code by using GitHub code scanning, GitHub secrets scanning, pipeline-based scans, and SonarQube

Automate security scanning, including container scanning and OWASP ZAP
Automate analysis of licensing, vulnerabilities, and versioning of open-source components by using Mend Bolt and GitHub Dependency Scanning

Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions

Implement an instrumentation strategy (10–15%)

Configure monitoring for a DevOps environment

Configure and integrate monitoring by using Azure Monitor
Configure and integrate with monitoring tools, such as Azure Monitor and Application Insights
Manage access control to the monitoring platform
Configure alerts for pipeline events

Analyze metrics

Inspect distributed tracing by using Application Insights
Inspect application performance indicators
Inspect infrastructure performance indicators, including CPU, memory, disk, and network
Identify and monitor metrics for business value
Analyze usage metrics by using Application Insights
Interrogate logs using basic Kusto Query Language (KQL) queries

Module 1: Introduction to Azure Sentinel

Overview of Azure Sentinel.
• Understanding the role of a SIEM and SOAR solution in cybersecurity.
• Azure Sentinel architecture and components.

Module 2: Data Ingestion and Data Connectors

• Configuring data connectors to collect data from various sources.
• Data ingestion best practices.
• Common data sources and their connectors.

Module 3: Data Queries and Investigations

• Introduction to Kusto Query Language (KQL).
• Writing queries to analyze and investigate security data.
• Creating custom workbooks for data visualization.

Module 4: Alerts and Incidents Management

• Creating and managing security alerts in Azure Sentinel.
• Incident management and response workflows.
• Automation and orchestration of incident response tasks.

Module 5: Threat Intelligence and Threat Detection

• Incorporating threat intelligence feeds into Azure Sentinel.
• Customizing and fine-tuning threat detection rules.
• Behavioral analytics and anomaly detection.

Module 6: Integration with Azure and Third-Party Services

• Integrating Azure services like Azure Active Directory and Azure Security Center.
• Connecting third-party security solutions.
• Using Logic Apps and Playbooks for automation.

Module 7: User and Entity Behavior Analytics (UEBA)

• Understanding UEBA in Azure Sentinel.
• Detecting and responding to suspicious user and entity activities.
• Behavioral profiling and analysis.

Module 8: Compliance and Reporting

• Generating compliance reports.
• Meeting regulatory and compliance requirements.
• Auditing and monitoring in Azure Sentinel.

Module 9: Advanced Threat Hunting

• Proactive threat hunting techniques.
• Building custom threat hunting queries.
• Leveraging advanced hunting tools and capabilities.

Module 10: Security Orchestration and Automation

• Designing and automating security workflows.
• Creating and managing playbooks.
• Integration with Azure Logic Apps.

Module 11: Azure Sentinel Deployment and Scaling

• Deployment options for Azure Sentinel.
• Scaling Azure Sentinel for large-scale environments.
• Best practices for managing a Sentinel workspace.

Module 12: Real-World Scenarios and Use Cases

• Analyzing real-world cybersecurity scenarios.
• Creating solutions for specific security challenges.
• Case studies and hands-on exercises.

Module 13: Azure Sentinel Certification Preparation

• Overview of Azure Sentinel certification (if available).
• Tips and resources for certification exam preparation

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AZURE Devops Course Certification with Training in Kochi

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