A security team has a large dataset of 10,000 files, each labeled as either 'malicious' or 'benign' by a sandbox analysis. They want to build a model that can automatically classify new files as malicious or benign with high precision to reduce false positives in their endpoint detection. Which approach should they use?

Time-series analysis on file metadata to identify trends in file creation times

Supervised classification using the labeled dataset, then evaluate with precision and recall metrics

Unsupervised clustering to group files by similarity and then assign labels based on the majority in each cluster

Regression analysis to predict a continuous maliciousness score for each file

What is the primary focus of time-series analysis in cybersecurity?

Analyzing data points collected over time to identify trends, seasonality, or anomalies

Extracting entities from unstructured text

Assigning data points to predefined categories

Grouping similar data points based on features

Why is bias a concern in AI-powered security analytics?

Bias is not a real issue in cybersecurity.

Bias always makes the model more accurate.

Bias only affects unsupervised learning.

Bias in training data can lead to unfair or inaccurate predictions for certain groups or behaviors.

Which of the following is an example of a classification task in cybersecurity?

Identifying groups of similar malware samples

Predicting the number of attacks next month

Determining whether a URL is malicious or benign

Estimating the risk score of a user

Which of the following is a common cybersecurity use case for AI-powered analytics?

Configuring firewall rules manually

Generating random encryption keys

Automating password resets for users

Anomaly detection in network traffic

CiscoCertified Network Professional Cybersecurity (CBRCOR)

Domain 2Objective 1

2.1 Recommend AI-powered Data Analytic Techniques to Meet Specific Needs or Answer Specific Questions 350-201 Practice Questions (Page 7)

Part of the Techniques domain, which accounts for 30% of the 350-201 exam. Cisco does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–24 in this domain), expect 1–1 from this objective — we provide 61 practice questions to prepare you well beyond it. (estimate)

61questions here

13free pages

16concepts

30%of the exam

Questions 31–35

31application · medium
A security team has a large dataset of 10,000 files, each labeled as either 'malicious' or 'benign' by a sandbox analysis. They want to build a model that can automatically classify new files as malicious or benign with high precision to reduce false positives in their endpoint detection. Which approach should they use?
Select an answer first
32foundation · easy
What is the primary focus of time-series analysis in cybersecurity?
Select an answer first
33foundation · easy
Why is bias a concern in AI-powered security analytics?
Select an answer first
34foundation · easy
Which of the following is an example of a classification task in cybersecurity?
Select an answer first
35foundation · easy
Which of the following is a common cybersecurity use case for AI-powered analytics?
Select an answer first

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