Exam Dumps C1000-162 Collection - C1000-162 Labs

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IBM C1000-162 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 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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IBM Security QRadar SIEM V7.5 Analysis Sample Questions (Q32-Q37):

NEW QUESTION # 32
What does the logical operator != in an AQL query do?

A. Sets the value on the left of the operator equal to the right
B. Compares two values and returns true if they are unequal
C. Compares a property to a value and returns false if they are unequal
D. Takes a value and raises it to the specified power and returns the result

Answer: B

Explanation:
The logical operator!=in an AQL (Ariel Query Language) query is used to compare two values and returns true if the values are unequal. This operator is a common element in various programming and query languages, and its purpose is consistent across these environments, including in IBM Security QRadar SIEM V7.5.
For instance, in an AQL query, if you are analyzing event or flow data and want to filter out records where a specific field, sayusername, does not equal a certain value, you could use the!=operator in your query like so:
SELECT * FROM events WHERE username != 'admin'. This query would return all records where the usernamefield does not equal 'admin'.
The use of the!=operator is crucial in data analysis and threat hunting within QRadar, as it allows security analysts to exclude certain data points and focus on the relevant data that might indicate security incidents or breaches.

NEW QUESTION # 33
The magnitude rating of an offense in QRadar is calculated based on which values?

A. Criticality, severity, importance
B. Relevance, credibility, severity
C. Criticality, severity, credibility
D. Relevance, severity, importance

Answer: B

Explanation:
The magnitude rating of an offense in QRadar is calculated based on relevance, severity, and credibility.
Relevance determines the impact on the network, credibility indicates the integrity of the offense, and severity represents the level of threat. QRadar uses complex algorithms to calculate and periodically re-evaluate the offense magnitude rating.

NEW QUESTION # 34
Which property types can be used to reduce the overall data volume searched and shorten search time to address searches taking longer than expected?

A. Common properties
B. Stored properties
C. Indexed properties
D. Tabled properties

Answer: C

Explanation:
* Challenges in Search Performance: When dealing with large volumes of data in QRadar, searches can become slow if the data is not indexed properly. To improve search performance, specific property types can be utilized.
* Property Types Overview:
* Tabled Properties: Refer to data stored in tabular format but do not inherently improve search performance.
* Indexed Properties: Properties that have an index created for them, significantly speeding up search operations by allowing quick lookups.
* Stored Properties: Simply refers to properties that are stored but not necessarily indexed.
* Common Properties: General properties used across various rules and searches but do not improve search performance specifically.
* Importance of Indexed Properties: Indexed properties are specifically designed to enhance search performance by creating an index that allows QRadar to quickly locate the data without scanning the entire dataset.
* Reference Confirmation: According to IBM QRadar documentation, using indexed properties is the recommended approach to reduce data volume searched and to shorten search times, making them the best choice for improving search performance.
References:
* IBM QRadar documentation on optimizing search performance highlights the use of indexed properties to enhance search efficiency.

NEW QUESTION # 35
QRadar analysts can download different types of content extensions from the IBM X-Force Exchange portal.
Which two (2) types of content extensions are supported by QRadar?

A. Events
B. Offenses
C. Custom Functions
D. Flows
E. FGroup

Answer: B,C

Explanation:
QRadar supports different types of content extensions that can be downloaded from the IBM X-Force Exchange portal. Among the supported content extensions are "Custom Functions" and "Offenses." These extensions allow for enhanced functionality and customization within QRadar, providing users with the ability to tailor the system to specific security needs and requirements.

NEW QUESTION # 36
When investigating an offense, how does one find the number of flows or events associated with it?

A. Export count to CSV
B. List Events/Flows
C. EvenVFIow count field
D. Display > Events

Answer: B

Explanation:
When investigating an offense in QRadar, finding the number of flows or events associated with it can be achieved through the "List Events/Flows" option. This functionality allows analysts to view a detailed list of all the individual events and flows that are related to a specific offense, offering insights into the nature and scope of the activities involved. By examining this list, analysts can better understand the context of the offense, including the types of network traffic and system actions that triggered the security alerts, facilitating a more informed investigation process.

NEW QUESTION # 37
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