Welcome to ExamTopics
ExamTopics Logo
- Expert Verified, Online, Free.
exam questions

Exam 312-85 All Questions

View all questions & answers for the 312-85 exam

Exam 312-85 topic 1 question 77 discussion

Actual exam question from ECCouncil's 312-85
Question #: 77
Topic #: 1
[All 312-85 Questions]

To extract useful intelligence from the gathered bulk data and to improve the efficiency of the composite bulk data, Sam, a threat analyst, follows a data analysis method where he creates a logical sequence of events based on the assumptions of an adversary’s proposed actions, mechanisms, indicators, and implications. To develop accurate predictions, he further takes into consideration the important factors including bad actors, methods, vulnerabilities, targets, and so on.

Which of the following data analysis methods is used by Sam to extract useful intelligence out of bulk data?

  • A. Linchpin analysis
  • B. Critical path analysis
  • C. Opportunity analysis
  • D. Analogy analysis
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

Chosen Answer:
This is a voting comment (?) , you can switch to a simple comment.
Switch to a voting comment New
Esste
5 days, 20 hours ago
Selected Answer: A
Linchpin analysis in the context of threat intelligence refers to the process of creating alogical sequence of events based on assumptions of an adversary’s proposed actions, mechanisms, indicators, and implications. To develop accurate predictions, some important factors including bad actors, methods, vulnerabilities, targets, etc. are taken into consideration.
upvoted 1 times
...
7119c34
3 weeks, 5 days ago
it should be A and not B??
upvoted 1 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
Loading ...