Microsoft 365 Administrator Expert MS-102 Practice Question
You need to create a custom sensitive information type (SIT) that detects Canadian Social Insurance Numbers (SIN). The requirement is to trigger a match only when a nine-digit number that passes the Luhn checksum appears within five characters of either the keyword "SIN" or "Social Insurance". Which configuration meets the requirement while minimizing false positives?
Edit the built-in Canada Social Insurance Number SIT and add "SIN" and "Social Insurance" to its keyword dictionary.
Create an Exact Data Match (EDM) SIT by uploading a CSV file with one column that enumerates valid SINs and reference the EDM in a DLP policy.
Upload a keyword list that contains every possible valid SIN and reference it in a custom SIT.
Create a new custom sensitive information type with a primary element that uses a regular expression to match a nine-digit Luhn-valid number and add the keywords "SIN" and "Social Insurance" as supporting elements with a 5-character proximity.
To meet the requirement you must define one primary element and at least one supporting element.
Creating a new custom SIT and defining a regular expression that validates the nine-digit SIN and its Luhn checksum provides the necessary pattern accuracy. Adding the keywords "SIN" and "Social Insurance" as supporting elements and configuring the proximity window to five characters ensures the match is recognized only when the digits appear close to the keywords, which reduces false positives. Editing an out-of-box SIT cannot satisfy the proximity and checksum requirements simultaneously, and keyword lists alone cannot validate numeric structure or the checksum. Exact Data Match needs a reference table, which is not available here.
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What is the purpose of proximity settings in a custom SIT?
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How does Luhn checksum validation work in detecting sensitive information?
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Microsoft 365 Administrator Expert MS-102
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