For AI agents: a documentation index is available at the root level at /llms.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Module 3 summative assessment. Ten items, about 8 minutes. Pass mark 80 percent.
Before You Start
This assessment covers all four module objectives. It is weighted towards scenarios rather than
recall, because the point of the module is judgement about your own data, not vocabulary.
Learning objectives
By the end of this lesson you should be able to:
M3-O1Classify passport data into its categories rather than treating it as one undifferentiated list.
M3-O2Distinguish public data from restricted-access data and say which audience sees which.
M3-O3Recognise which attributes your organisation already holds, and in which system.
M3-O4Identify attributes with no current owner and decide what to do about them.
You may re-read any canonical article while answering. Feedback is shown after you submit, with an
anchor back to the source for anything you miss.
Module assessment
10 questions. Pass mark 80 percent (configurable). Unlimited retakes. Your best score is kept on this device.
0 of 10 answered.
After the Assessment
If you scored below 80 percent, the feedback names the objective behind each missed item. Re-read
the linked canonical section rather than the lesson summary, then retake it.
Module completion
Assessment not yet submitted on this device.
Module 3 not yet complete. 0 of 3 lessons marked complete and the assessment not yet passed.
On completing this module you should be able to:
Sort a product’s likely passport content into categories instead of one undifferentiated list.
Say which audience should see which category of a passport record, and why.
Audit whether an attribute is truly held, in a structured form, rather than merely findable somewhere.
Name an unowned attribute as the finding itself, and put a person’s name against it.