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Exam 350-201 topic 1 question 21 discussion

Actual exam question from Cisco's 350-201
Question #: 21
Topic #: 1
[All 350-201 Questions]

An organization had several cyberattacks over the last 6 months and has tasked an engineer with looking for patterns or trends that will help the organization anticipate future attacks and mitigate them. Which data analytic technique should the engineer use to accomplish this task?

  • A. diagnostic
  • B. qualitative
  • C. predictive
  • D. statistical
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
Reference:
https://insights.principa.co.za/4-types-of-data-analytics-descriptive-diagnostic-predictive-prescriptive

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blackstorm
9 months ago
did anyone take this exam recently?
upvoted 1 times
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ak_technonet
10 months, 2 weeks ago
Selected Answer: C
keyword "future"
upvoted 1 times
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DrVoIP
1 year, 1 month ago
C. Predictive data analytic technique. The predictive data analytic technique involves analyzing historical data to make predictions about future events or outcomes. In the context of cybersecurity, this technique involves using data analysis tools to identify patterns and trends in historical cyberattacks, and then using this information to predict potential future attacks and proactively mitigate them. Diagnostic (Option A) and statistical (Option D) data analytic techniques are retrospective and focus on analyzing past events to identify the cause and effect of problems or issues. While they are useful for identifying the root cause of a problem, they do not provide insights into future events. Qualitative (Option B) data analytic technique involves analyzing non-numeric data to understand the opinions, beliefs, and attitudes of people. While this technique can be used to gather qualitative data about cyberattacks, it may not be the most effective technique for identifying patterns and trends to predict future attacks. - ChatGPT
upvoted 1 times
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TOLU1985
1 year, 6 months ago
Selected Answer: C
What Is Predictive Analytics? When you know what happened in the past and understand why it happened, you can then begin to predict what is likely to occur in the future based on that information. Predictive analytics takes the investigation a step further, using statistics, computational modeling, and machine learning to determine the probability of various outcomes. What Is Diagnostic Analytics? Once you know what happened, you’ll want to know why it happened. That’s where diagnostic analytics comes in. Understanding why a trend is developing or why a problem occurred will make your business intelligence actionable. It prevents your team from making inaccurate guesses, particularly related to confusing correlation and causality. I think predictive answer is better here.
upvoted 1 times
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OHS
1 year, 8 months ago
Descriptive Analytics tells you what happened in the past. Diagnostic Analytics helps you understand why something happened in the past. Predictive Analytics predicts what is most likely to happen in the future. Prescriptive Analytics recommends actions you can take to affect those outcomes.
upvoted 1 times
OHS
1 year, 8 months ago
I think answer should be: A
upvoted 1 times
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