Send the exact assignment or rubric from your course of study and a custom sample written to it lands in 24 to 48 hours, the first one free. D522 is WGU’s Python for IT Automation course. It centers on using Python to replace repetitive administrative work with scripts that handle files, data and errors without a person watching. Searches like "d522 task 2 assignment example", "D522 sample paper", and "D522 task samples" land on this page.
What D522 is really about
D522 is Python aimed squarely at operations. You read and write files, walk directories, parse logs and text, move data in and out of CSV and JSON, talk to a service over an interface, and wrap the whole thing in error handling so a failure at three in the morning leaves a usable record instead of silence. The programming concepts are ordinary: variables, loops, conditionals, functions, libraries from the standard set. What is not ordinary for most people is the mindset shift. A script that works once on your machine is a demonstration. A script that runs unattended and tells you what it did is automation, and only the second one counts here.
The deliverable is rarely just code. In most versions you hand over a script together with a written record around it: what the script is for, what it assumes about the environment, how it fails safely, and what you observed when you ran it. That written record is where the rubric aspects live, and it is the half people under-build. Your work goes to an evaluator who reads each aspect on its own, so a strong script can still come back if the documentation aspect has nothing to read. Revision is a normal beat in this course. Most returns here are additions rather than rewrites.
What D522’s tasks ask for
A typical brief hands you a nuisance an administrator faces: reports piling up in a folder, records that need reformatting before another system will accept them, a check that somebody currently runs by hand every morning. From that you are expected to state the requirement in testable words, design the script, write it, and then show it working. Testable words matter more than they sound. Given a folder of files in this format, the script produces that output, logs each file it handled, and exits without stopping the run when one file is malformed. Requirements written that way tell you when you are finished, and they tell an evaluator what to check.
Why D522 tasks come back for revision
Two failures account for most returns. The first is a task with no acceptance criteria anywhere in it. The write-up says the script automates the report process, which is a description of intent, not a standard anybody can hold the work against, so the aspect asking whether requirements were met has nothing to compare. The second is proof by screenshot. A pasted terminal capture sits in the file with no caption, no statement of what input produced it, and no sentence saying which requirement it satisfies. An evaluator sees green text and cannot tell whether it demonstrates success, a partial run or a different script entirely. Say what the reader is looking at, always.
The D522 drawers
D522 Task 1 example
Often a design and requirements write-up for one script, criteria stated before code. On request, free, 24-48h.
D522 Task 2 example
Typically the results and documentation half, pairing captured output with the criterion it proves. On request, free, 24-48h.
Your course of study shows something else?
Western Governors University revises courses; task counts and deliverables shift between terms. Send what your classroom shows and the desk matches it exactly.
Using a D522 sample the right way
A sample is most useful here as a template for the writing that surrounds code: how a requirement gets phrased so it can pass or fail, how a design note explains a choice of approach in four sentences, how a results section pairs each captured output with the criterion it proves. Take that structure and pour your own environment into it, since paths, formats and constraints will be yours alone. Send the task brief and the rubric aspects exactly as they reached you and the first custom sample comes back free within 24-48h.
How these samples are written
Every sample on this board is written the way the custom ones are: the rubric aspects decoded first, a subject-matched writer drafting each aspect visibly, format and originality checked before it ships. WGU revises courses and instruments; a custom request is always written to the aspects in YOUR portal, never from a stale template.
D522 questions, answered
What does an acceptance criterion look like for an automation task?
One sentence with an input, an action and an observable result. Given twelve files in the source folder, running the script writes twelve rows to the output file and one line per file to the log. Anyone can check that without asking you. Write three or four of them before you write any code and the documentation aspects mostly answer themselves.
How should I present screenshots or console output as proof?
Caption every one. State the input you used, the command you ran, and the criterion the capture satisfies, then let the image confirm the sentence. Two captures chosen to show a normal run and a failure handled cleanly beat eight showing the same happy path. An uncaptioned image proves only that something ran on somebody's machine.
Do I need formal tests, or is running the script enough?
Running it is enough only if you record what you ran it against. List the cases you tried, including an empty folder, a malformed record and a file that is already processed, then say what happened in each. That is test evidence in any language. Formal frameworks are welcome but the aspect is asking for proof, not for a particular library.