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IBM C1000-162 Exam Syllabus Topics:

Topic	Details
Topic 1	Searching and Reporting: In this topic, you study how to effectively use QRadar's search capability. You learn how to use QRadar's search capabilities such as filtering event, asset related data, flow, and creating quick and advanced searches. This topic delves into using various parts of the QRadar UI as well.
Topic 2	Offense Analysis: This topic is all about identifying how the offense happened, where that particular offense happened, and which players involved in the offense.
Topic 3	Threat Hunting: Threat hunting starts with results which are presented in an offense. Moreover, the topic also focuses on evidence inside an offense, including event and flow details. It also delves into triggered rules, payloads, and filters to differentiate real threats from false ones.
Topic 4	Dashboard Management: The topic is all about the dashboard tab which focuses on specific areas of network security. Questions about using the default QRadar dashboard and using Pulse also appear in this topic.
Topic 5	Rules and building block design: In this topic questions about Interpreting rules that test for regular expressions. It also discusses creation and management of reference sets. The topic also point outs the need for QRadar Content Packs. Lastly the exam topic describes different types of rules such as behavioral, anomaly and threshold rules.

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C1000-162 Exams Collection - C1000-162 Exam Actual Questions

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IBM Security QRadar SIEM V7.5 Analysis Sample Questions (Q114-Q119):

NEW QUESTION # 114
Which action is performed in Edit Search to create a report from Offense data?

A. Under Search Parameters, select "Associated With Offense Equals True".
B. In the Data Source field, type offense.
C. In the Select Data Source for report field, select "Offense".
D. Under Search Parameters, select "Use Offense Data".

Answer: C

Explanation:
* Report Data Source: To generate a report focused on offense data, you must explicitly select "Offense" as the data source. This tells QRadar to structure the report around offense information.
* Edit Search: The "Edit Search" interface often provides the ability to configure report generation.

NEW QUESTION # 115
Several systems were initially reviewed as active offenses, but further analysis revealed that the traffic generated by these source systems is legitimate and should not contribute to offenses.
How can the activity be fine-tuned when multiple source systems are found to be generating the same event and targeting several systems?

A. Use the Log Source Management app to tune the event
B. Edit the building blocks by using the Custom Rules Editor to tune out a destination IP
C. Edit the building blocks by using the Custom Rules Editor to tune out the specific event
D. Edit the building blocks by using the Custom Rules Editor to tune out a source IP

Answer: C

Explanation:
Here's why this is the most effective approach:
* False Positive Reduction: The goal is to stop legitimate traffic from triggering offenses. This requires fine-tuning the rules generating those offenses.
* Building Blocks: Rules are housed within building blocks in QRadar's hierarchical rule structure. The Custom Rules Editor is the tool to modify them.
* Event-Based Tuning: The optimal approach is to target the specific event that's causing the false positives, making the solution more precise.

NEW QUESTION # 116
Where can you view a list of events associated with an offense in the Offense Summary window?

A. Destination IPs
B. Events from Event/Flow count column
C. Source IPs
D. Display > Destination IPs

Answer: B

Explanation:
* Offense Summary Window: Provides a centralized view of offense details.
* Event/Flow Count Column: This column displays the number of events (and potentially flows) that contributed to the offense.
* Accessing Events: Clicking on the number in this column typically opens a list or detailed view of the associated events.

NEW QUESTION # 117
Which two (2) aggregation types are available for the pie chart in the Pulse app?

A. First
B. Middle
C. Average
D. Last
E. Total

Answer: A,E

Explanation:
* Pie Chart Logic: Pie charts represent proportions of a whole.expand_more QRadar Pulse supports the following aggregations suitable for this:
* Total (Sum): Calculates the sum of a selected field's values, displaying each slice relative to the whole.
* First: Takes the first value encountered in a field, useful for categorical data to show initial distribution.

NEW QUESTION # 118
What type of building blocks would you use to categorize assets and server types into CIDR/IP ranges to exclude or include entire asset categories in rule tests?

A. Policy
B. Host definition
C. User tuning
D. Category definition

Answer: B

Explanation:
In IBM Security QRadar SIEM, building blocks are utilized to categorize assets and server types into CIDR/IP ranges to either exclude or include entire asset categories in rule tests. The most suitable type of building block for this purpose is the "Host definition". This type of building block allows administrators to define groups of IP addresses, often in CIDR notation, to represent different parts of the network, such as specific servers, subnets, or entire network segments. By doing so, rules can be crafted to apply only to traffic involving these defined hosts, thereby including or excluding specific asset categories from rule tests based on their network location or role within the organization.

NEW QUESTION # 119
......

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