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700-280 · Question #34

Which of the following is designed to block message campaigns that the recipient unknowingly subscribed to?

The correct answer is C. Marketing Mail Detection. Marketing Mail Detection targets "graymail" - bulk promotional messages from senders the recipient technically opted into, often through pre-checked boxes, bundled terms, or inadvertent sign-ups. Because the user did subscribe (even if unknowingly), these messages aren't…

Describe Cisco Email Security Solutions

Question

Which of the following is designed to block message campaigns that the recipient unknowingly subscribed to?

Options

  • AAnti-Spam
  • BAnti-Virus
  • CMarketing Mail Detection
  • DReputation Filters

How the community answered

(36 responses)
  • A
    3% (1)
  • C
    94% (34)
  • D
    3% (1)

Explanation

Marketing Mail Detection targets "graymail" - bulk promotional messages from senders the recipient technically opted into, often through pre-checked boxes, bundled terms, or inadvertent sign-ups. Because the user did subscribe (even if unknowingly), these messages aren't technically spam, so a specialized filter is needed to catch them based on their bulk marketing characteristics.

  • A (Anti-Spam) is wrong because spam involves zero consent - the sender has no subscription relationship with the recipient. Anti-spam wouldn't flag messages from a sender the user is on record as subscribing to.
  • B (Anti-Virus) is wrong because it scans for malicious code and malware, not unwanted promotional campaigns.
  • D (Reputation Filters) is wrong because they evaluate the sender's trustworthiness (IP reputation, blacklists, bounce rates), not the subscription relationship between sender and recipient.

Memory tip: Think of the key word "subscribed" - the only choice that deals with messages you did sign up for (even accidentally) is the one with "Marketing" in the name. Spam = no consent; Marketing Mail = accidental/unwanted consent.

Topics

#Email filtering#Marketing mail detection#Unwanted email#Email security features

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