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  1. Home
  2. IBM Certification
  3. C1000-162 Exam
  4. IBM.C1000-162.v2024-07-13.q49 Dumps
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Question 6

Which type of rule should you use to test events or (lows for activities that are greater than or less than a specified range?

Correct Answer: D
Threshold rules in QRadar are designed to test events or flows for activities that are greater than or less than a specified range. These rules are particularly useful for detecting significant changes such as bandwidth usage variations, failed services, changes in the number of connected users, and large outbound data transfers. By setting acceptable limits within threshold rules, administrators can effectively monitor for and respond to abnormal activities within the network.
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Question 7

Which flow fields should be used to determine how long a session has been active on a network?

Correct Answer: D
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Question 8

After conducting a thorough analysis, it was discovered that the traffic generated by an attacker targeting one system through many unique events in different categories is legitimate and should not be classified as an offense.
Which tuning methodology guideline can be used to tune out this traffic?

Correct Answer: A
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Question 9

An analyst wishes to review an event which has a rules test against both event and flow data.
What kind of rule is this?

Correct Answer: A
Rules that have tests against both event and flow data in QRadar are typically known as "Anomaly rules." These rules are designed to detect unusual or unexpected patterns of activity that deviate from the norm, which can be indicative of security threats. By analyzing both event data (which could include log entries, system alerts, etc.) and flow data (which represents network traffic), anomaly rules can provide a comprehensive view of potential security incidents, identifying anomalies that might not be evident when looking at event or flow data in isolation.
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Question 10

Which statement regarding the use of the internal structured language of the QRadar database is true?

Correct Answer: A
The Ariel Query Language (AQL) is the internal structured language used in QRadar for interacting with the Ariel database, which stores event and flow data. AQL allows users to perform complex queries to extract, filter, and analyze this data, enabling detailed investigations and insights into security incidents and network activity. By using AQL, analysts can tailor their queries to meet specific informational needs, making it a powerful tool for data extraction and manipulation within the QRadar environment.
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