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WGU D522 (WEN1) Task 1 Performance Assessment Guide 2026 | Incident Response & DNS Remediation | Python, GitLab, Device Inventory, Email & Helpdesk API

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Master your WGU D522 (WEN1) Task 1 Performance Assessment with this comprehensive guide covering incident response and DNS remediation, along with the technical workflows and evidence requirements involved in completing the assessment. This resource is designed to help WGU students understand the task requirements, organize their work, troubleshoot technical components, and prepare clear evidence for submission. The guide focuses on practical concepts involving Python scripting, GitLab workflows, device inventory, email functionality, Helpdesk API integration, DNS remediation, incident response, and performance-assessment evidence. Use it as a structured reference alongside WGU course materials and the official task instructions. KEY TOPICS COVERED WGU D522 (WEN1) Task 1 Performance Assessment Incident response workflow and remediation DNS remediation and troubleshooting Python scripting for IT and security tasks Python automation concepts GitLab repository and version-control workflows GitLab project organization and documentation Device inventory management Asset and endpoint information Helpdesk API concepts and integration API requests and response handling Email configuration and notification workflows Incident documentation and communication Evidence collection and organization Performance-assessment submission preparation Technical screenshots and supporting evidence Troubleshooting common implementation issues Verifying completed technical requirements Documentation and reproducibility Security-focused remediation practices IT service management and incident handling Connecting technical implementation with assessment requirements WHY THIS STUDY RESOURCE IS USEFUL Task-Focused Guidance: Provides an organized framework for approaching WGU D522 Task 1 and its major technical components. Incident Response Review: Helps reinforce concepts involved in identifying, responding to, documenting, and remediating incidents. DNS Remediation Support: Provides a structured way to understand DNS-related troubleshooting and remediation tasks. Python Practice: Helps students organize Python scripting and automation work associated with the assessment. GitLab Workflow: Supports understanding of repository management, version control, and documentation. API Integration: Helps clarify how device inventory, helpdesk APIs, and related technical workflows can fit together. Evidence Organization: Helps students understand how to organize screenshots, outputs, documentation, and other evidence required by their assessment instructions. Troubleshooting Reference: Useful when working through technical implementation problems during assessment preparation. Submission Readiness: Encourages students to verify that required components are completed and appropriately documented before submission. Practical IT Skills: Reinforces automation, incident response, system administration, documentation, and troubleshooting concepts.

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, WGU D522 (WEN1) Task 1 Performance Assessment — Complete Guide
Incident Response & DNS Remediation | Python, GitLab, Device Inventory,
Email, Helpdesk API & Evidence Guide


Task 1 Overview & Core Requirements
Task 1 requires students to build a foundational Python automation solution that combines
multiple IT automation domains: network device discovery, DNS compromise auditing, and
basic API integration. The assessment requires a Python-based network automation solution
that processes a device inventory, tests connectivity, audits DNS configurations, and generates
structured reports.
The assigned scenario requires an automated method to identify managed devices, verify
availability, retrieve interface-specific DNS settings, and flag systems whose DNS configuration
does not match the approved corporate baseline.
Core Domains Covered:
• Python Environment and Repository Setup
• CSV Device Inventory Processing
• Python Dictionaries and Structured Data Handling
• Device Connectivity and Reachability Testing
• Telnet/SSH Session Management and Automation
• DNS Configuration Collection and Parsing
• DNS Validation and Classification Logic
• Modular Python Function Design
• Error Handling, Timeouts, and Exception Management
• Structured Reporting and Evidence Generation
• Git/Repository Workflow and Version Control
• Screenshot and Evidence Collection
• Security and Automation Best Practices


Section A: Python Environment & GitLab Repository Setup

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