Free Practice Questions for IBM C1000-162 Exam

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.

In the context of YARA rules, which are used for malware identification and classification, this example rule is designed to flag content that matches specific conditions. The rule named "ibm_forensics" contains both hexadecimal and string conditions. The Shex1 represents a hexadecimal string pattern, and Sstr1 represents a literal string "IBM Security!". The condition Shex1 and (#str1 > 3) means that for the rule to match, both the hexadecimal pattern must be present, and the string "IBM Security!" must appear more than three times within the scanned content. YARA rules are a powerful tool in forensics and malware analysis, allowing researchers and analysts to define complex patterns and conditions that identify malicious or suspicious content within files, memory, or network traffic.

On the Offenses tab within QRadar, the "Offense Type" column explains the cause of the offense. The offense type is determined by the rule that triggered the offense, and it dictates the kind of information displayed in the Offense Source Summary pane. This helps analysts understand the nature and origin of the offense, facilitating more effective investigation and response actions​​.

To search offense data on the By Networks page, an analyst can use the options "Events/Flows" to filter based on the types of data points, and "Network" to specify the network they want to search for. This allows for a focused search on specific networks and types of data​​​​.

Understanding the Scenario: The detection of unauthorized high-rate traffic for transferring outbound mail via port 25 indicates potential misuse or compromise of the source system.

Appropriate Response:

Investigate the Offense: The first step is to continue investigating the offense to gather more details about the source system and the nature of the traffic.

Organizational Response Processes: Following the organization’s established response processes ensures that appropriate actions are taken to mitigate the threat, which may include blocking the traffic, isolating the system, or further forensic analysis.

Avoiding Incorrect Actions:

Adding to Building Blocks: Adding the IP address to the Host Definition Mail Servers building block would incorrectly categorize the unauthorized system as a legitimate mail server.

Allowing Traffic: Submitting a request to the firewall team to allow this traffic would permit unauthorized activity and potentially exacerbate the security issue.

False Positive Wizard: Using the False Positive Wizard is not suitable as this situation represents a genuine security concern rather than a false positive.

Reference Confirmation: According to IBM QRadar documentation, the recommended action in such scenarios is to follow the organization’s incident response processes to ensure a thorough and effective response.

References:

IBM QRadar documentation on incident response and handling unauthorized activities.

QRadar supports generating reports in various file formats, including PDF, HTML, XML, and XLS. These formats provide flexibility in how reports are viewed and shared, catering to different needs and preferences for report presentation and analysis​​.

When an analyst right-clicks on the Source IP or Destination IP that is associated with an offense at the Offense Summary in QRadar, two of the top-level options are DNS Lookup and WHOIS Lookup1. These options provide additional information about the IP address, such as its domain name (DNS Lookup) and registration information (WHOIS Lookup)1.

Adding indexed properties to QRadar can significantly improve the efficiency of searches by reducing the size of the data set required to locate matches for non-indexed search values. Indexing creates references to unique terms in the data and their locations, which means that the search engine can filter the data set by indexed properties first, eliminating irrelevant portions of the data set and thereby reducing the overall volume of data that needs to be searched​​.

QRadar uses a red star icon to visually identify events that directly contributed to triggering an offense. These events fully matched all the criteria specified in the rule that generated the offense.

Partially matched events may also be associated with the offense (especially for rules using match counts), but they won't have the red star. These events are still valuable for providing context during investigations.

Anomaly Detection Focus: Anomaly rules specialize in identifying deviations from established baselines or normal patterns.

Outlier Identification: Outliers are often the result of unusual volume changes, which anomaly rules are suited to detect.

Other Rule Types (less ideal):

Behavioral: Broader focus on activity patterns, not just volume.

Custom: Can be built for this, but anomaly rules have it as core functionality.

Threshold: Trigger based on specific values, less dynamic than anomaly rules.