D522 V2 | Python Automation Code Companion | August 2026
WGU D522 V2
Python Automation Code
Companion
Reusable Python Patterns for Network Discovery, DNS, APIs, Monitoring,
Remediation, Logging & GitLab
2026 Updated - aligned to the current PA-oriented D522 V2 workflow as of August 29, 2026
Purpose A study and coding companion with original, adaptable examples. It is not an official WGU
document, a private rubric reproduction, or a ready-to-submit student assessment.
Research basis: WGU August 2026 Institutional Catalog for official course scope; Python/Requests/Git
documentation for code behavior; recent July-August 2026 learner reports for current PA workflow
observations. Community observations are labeled as such.
1
, D522 V2 | Python Automation Code Companion | August 2026
How to Use This Companion
This companion is designed to sit beside the D522 course material and the student's current Task 1/Task 2
instructions. Start with the architecture and data-model sections, then use the code patterns selectively.
The examples use fictional devices and neutral placeholders so the learner must adapt them to the current
lab, reference guide, and rubric.
Priority rule Your current WGU task page, rubric, instructor reference guide, and lab files take
precedence over any community report or generic template in this document.
Alignment Snapshot
Source What it establishes Confidence
WGU August 2026 catalog D522 covers Python fundamentals, Official
program flow, decision-making, IT
task/process automation, and
systematic programming logic for
secure/scalable/resilient networks and
systems.
Recent V2 pass report - Aug 26, 2026 Task 1 builds reusable discovery/state Community-reported
logic; Task 2 reuses most of it in a loop;
lab includes SSH/Telnet-style access and
installed libraries such as Paramiko,
Pexpect, NAPALM; supplied break
scripts are used for Task 2 fault
simulation.
Recent Task 2 discussions - Aug 2026 DNS backup, unreachable-device Community-reported
detection, ticketing, DNS
detection/remediation, and DNS
status/configuration logging are
recurring requirements/evaluator
concerns.
Python / Requests / Git docs Behavior and safe usage patterns for Primary technical docs
csv, subprocess, logging, smtplib, HTTP
requests, and version-control
commands.
Companion Map
Sections 1-8: architecture, Python foundations, device models, CSV validation, reachability, remote
access and DNS normalization.
Sections 9-16: DHCP/source-of-truth reasoning, backups, REST tickets, email, logging, monitoring and
idempotent remediation.
Sections 17-27: error/state handling, testing, Git/GitLab, evidence output, troubleshooting, checklists,
mini-builds and research notes.
2
, D522 V2 | Python Automation Code Companion | August 2026
1. Architecture First: Separate Collection, Decision, Action and
Evidence
Figure 1. A modular design prevents Task 2 from becoming a rewrite of Task 1.
A maintainable automation script should not mix every responsibility in a single loop. The most useful
D522 pattern is to collect raw device information, normalize it into a consistent structure, make decisions
from that structure, perform only necessary actions, verify the result, and write evidence.
Recommended project layout
Example modular layout (adapt to the structure permitted by the current task)
d522-automation/
|-- task1.py
|-- task2.py
|-- inventory.py
|-- reachability.py
|-- remote.py
|-- dns.py
|-- tickets.py
|-- notifications.py
|-- logging_setup.py
|-- backups/
|-- logs/
|-- tests/
`-- network_devices.csv
Why modularity matters Recent V2 pass reports repeatedly note that Task 2 reuses most Task 1 code.
Small functions reduce duplication and make it easier to prove each requirement independently.
3
WGU D522 V2
Python Automation Code
Companion
Reusable Python Patterns for Network Discovery, DNS, APIs, Monitoring,
Remediation, Logging & GitLab
2026 Updated - aligned to the current PA-oriented D522 V2 workflow as of August 29, 2026
Purpose A study and coding companion with original, adaptable examples. It is not an official WGU
document, a private rubric reproduction, or a ready-to-submit student assessment.
Research basis: WGU August 2026 Institutional Catalog for official course scope; Python/Requests/Git
documentation for code behavior; recent July-August 2026 learner reports for current PA workflow
observations. Community observations are labeled as such.
1
, D522 V2 | Python Automation Code Companion | August 2026
How to Use This Companion
This companion is designed to sit beside the D522 course material and the student's current Task 1/Task 2
instructions. Start with the architecture and data-model sections, then use the code patterns selectively.
The examples use fictional devices and neutral placeholders so the learner must adapt them to the current
lab, reference guide, and rubric.
Priority rule Your current WGU task page, rubric, instructor reference guide, and lab files take
precedence over any community report or generic template in this document.
Alignment Snapshot
Source What it establishes Confidence
WGU August 2026 catalog D522 covers Python fundamentals, Official
program flow, decision-making, IT
task/process automation, and
systematic programming logic for
secure/scalable/resilient networks and
systems.
Recent V2 pass report - Aug 26, 2026 Task 1 builds reusable discovery/state Community-reported
logic; Task 2 reuses most of it in a loop;
lab includes SSH/Telnet-style access and
installed libraries such as Paramiko,
Pexpect, NAPALM; supplied break
scripts are used for Task 2 fault
simulation.
Recent Task 2 discussions - Aug 2026 DNS backup, unreachable-device Community-reported
detection, ticketing, DNS
detection/remediation, and DNS
status/configuration logging are
recurring requirements/evaluator
concerns.
Python / Requests / Git docs Behavior and safe usage patterns for Primary technical docs
csv, subprocess, logging, smtplib, HTTP
requests, and version-control
commands.
Companion Map
Sections 1-8: architecture, Python foundations, device models, CSV validation, reachability, remote
access and DNS normalization.
Sections 9-16: DHCP/source-of-truth reasoning, backups, REST tickets, email, logging, monitoring and
idempotent remediation.
Sections 17-27: error/state handling, testing, Git/GitLab, evidence output, troubleshooting, checklists,
mini-builds and research notes.
2
, D522 V2 | Python Automation Code Companion | August 2026
1. Architecture First: Separate Collection, Decision, Action and
Evidence
Figure 1. A modular design prevents Task 2 from becoming a rewrite of Task 1.
A maintainable automation script should not mix every responsibility in a single loop. The most useful
D522 pattern is to collect raw device information, normalize it into a consistent structure, make decisions
from that structure, perform only necessary actions, verify the result, and write evidence.
Recommended project layout
Example modular layout (adapt to the structure permitted by the current task)
d522-automation/
|-- task1.py
|-- task2.py
|-- inventory.py
|-- reachability.py
|-- remote.py
|-- dns.py
|-- tickets.py
|-- notifications.py
|-- logging_setup.py
|-- backups/
|-- logs/
|-- tests/
`-- network_devices.csv
Why modularity matters Recent V2 pass reports repeatedly note that Task 2 reuses most Task 1 code.
Small functions reduce duplication and make it easier to prove each requirement independently.
3
