140 Q&As in UPDATED C1000-162 Exam Questions Certification Test Engine to PDF
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IBM C1000-162 Exam Syllabus Topics:
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NEW QUESTION # 64
A Security Analyst was asked to search for an offense on a specific day. The requester was not sore of the time frame, but had Source Host information to use as well as networks involved, Destination IP and username.
Which fitters can the Security Analyst use to search for the information requested?
- A. Offense ID, Source IP, Username
- B. Magnitude, Source IP, Destination IP
- C. Specific Interval, Username, Destination IP
- D. Description, Destination IP. Host Name
Answer: C
NEW QUESTION # 65
What is the difference between an unknown event and a stored event?
- A. Stored events are collected and parsed but cannot be mapped or categorized to a specific log source.
Unknown events cannot be understood or parsed by QRadar. - B. Unknown events are collected and parsed, but cannot be mapped or categorized to a specific log source and stored events cannot be understood or parsed by QRadar.
- C. Stored events are mapped to the proper log source. Unknown events are collected and parsed.
- D. Unknown events are mapped to the proper log source. Stored events are collected and parsed.
Answer: B
Explanation:
In QRadar, "unknown events" refer to data that is collected and parsed by the system but cannot be accurately mapped or categorized to a specific log source due to lack of sufficient information or matching criteria. On the other hand, "stored events" imply that the data has been retained in the system but may not be fully understood or parsed by QRadar, possibly due to it not conforming to expected formats or lacking recognizable patterns. This distinction highlights the challenges in data categorization and analysis within a SIEM system, where not all collected data can be immediately attributed to known sources or fully analyzed due to various constraints .
NEW QUESTION # 66
Which two (2) of these custom property expression types are supported in QRadar?
- A. XLS
- B. YAML
- C. JSON
- D. HTML
- E. Regex
Answer: C,E
Explanation:
* Custom Properties: QRadar allows you to extract custom properties from raw log and flow data, enriching your analysis capabilities.
* Supported Expression Types:
* Regex (Regular Expressions): Powerful patterns for extracting specific strings or values from textual data.
* JSON (JavaScript Object Notation): Extracts values from structured JSON data within events and flows.
* Unsupported Types:
* XLS: Excel spreadsheet format. QRadar isn't designed to parse spreadsheets directly.
* YAML: A data serialization language. QRadar's extraction is more focused on data within events and flows rather than standalone configuration files.
* HTML: Markup language used for web pages. Event data is unlikely to be solely in HTML format.
References:
* IBM QRadar Documentation - Custom Property Expression
Types: https://www.ibm.com/docs/en/qradar-on-cloud?topic=expressions-configuring-custom-property-ex
*
NEW QUESTION # 67
How long does QRadar store payload indexes by default?
- A. 14 days
- B. 7 days
- C. 30 days
- D. 90 days
Answer: C
Explanation:
By default, QRadar stores payload indexes for a duration of 30 days. This retention period is configurable, allowing administrators to adjust how long specific data is retained based on their requirements.
NEW QUESTION # 68
What are two characteristics of a SIEM? (Choose two.)
- A. System Deployment
- B. Endpoint Software patching
- C. Enterprise User management
- D. Log Management
- E. Event Normalization & Correlation
Answer: D,E
NEW QUESTION # 69
Which two (2) are valid options available for configuring the frequency of report execution in the QRadar Report wizard?
- A. Monthly
- B. Yearly
- C. Automatically
- D. Quarterly
- E. Manually
Answer: A,E
Explanation:
In configuring the frequency of report execution in the QRadar Report wizard, users have several scheduling options to automate or manually initiate report generation. Among the options provided, "Monthly" (C) and
"Manually" (E) are valid choices within the QRadar environment. The "Monthly" option allows users to schedule reports to run at specific intervals each month,providing regular insights into the security posture and events within the monitored environment. The "Manually" option gives users the flexibility to generate reports on an ad-hoc basis, depending on specific needs or investigative activities, without adhering to a predetermined schedule .
NEW QUESTION # 70
A QRadar analyst wants to limit the time period for which an AOL query is evaluated. Which functions and clauses could be used for this?
- A. START, BETWEEN. LAST. NOW. PARSEDATETIME
- B. START. STOP. BETWEEN, FIRST
- C. START, STOP. LAST, NOW, PARSEDATETIME
- D. START, STOP. BETWEEN, LAST
Answer: C
Explanation:
In QRadar, to limit the time period for which an AQL (Ariel Query Language) query is evaluated, the functions and clauses that can be used include START, STOP, LAST, NOW, and PARSEDATETIME. Specifically, the LAST function is used to define a relative time range for the query, such as "LAST 2 DAYS".
NEW QUESTION # 71
Which two (2) options are at the top level when an analyst right-clicks on the Source IP or Destination IP that is associated with an offense at the Offense Summary?
- A. Navigate
- B. WHOIS Lookup
- C. Information
- D. DNS Lookup
- E. Asset Summary page
Answer: B,D
Explanation:
* Context Menu: Right-clicking on an IP address in the Offense Summary window offers quick
* investigation actions.
* IP-Related Tools: WHOIS and DNS Lookups are essential tools for:
* WHOIS: Retrieving IP registration information (owner, contact details, etc.). DNS: Resolving domain names associated with the IP.
NEW QUESTION # 72
a selection of events for further investigation to somebody who does not have access to the QRadar system.
Which of these approaches provides an accurate copy of the required data in a readable format?
- A. Log in to the Command Line Interface and use the ACP tool (/opt/qradar/bin/runjava.sh com.qllabs
.ariel. Io.acp) with the necessary AQLfilters and destination directory. - B. Use the "Event Export (with AQL)" option in the Log Activity tab, test your query with the Test button.
Then, to run the export, click Export to CSV. - C. Use the Advanced Search option in the Log Activity tab, run an AQL command: copy (select * from events last 2 hours) to 'output_events.csv' WITH CSV.
- D. Use the Log Activity tab, filter the events until only those that you require are shown. Then, from the Actions list, select Export to CSV > Full Export (All Columns).
Answer: B
Explanation:
Here's the breakdown of why this approach is the most suitable:
* Focused Export: The "Event Export (with AQL)" option allows targeted exporting of events based on specific AQL queries. This ensures you only extract the necessary data.
* Usability: The Log Activity tab's interface, including the Test and Export functionality, makes it easy to use even for less technical users familiar with basic QRadar concepts.
* CSV Format: CSV offers a readable, widely compatible format for data review outside of QRadar.
NEW QUESTION # 73
What does this example of a YARA rule represent?
- A. Flags for str1 at an offset of 25 bytes into the file
- B. Flags content that contains the hex sequence, and str1 greater than three times
- C. Flags content that contains the hex sequence, and hex! at least three times
- D. Flags containing hex sequence and str1 less than three times
Answer: A
Explanation:
A YARA rule is used for malware identification and classification, based on textual or binary patterns. The example provided suggests a rule that flags occurrences of a specific string (str1) at a precise location within a file. The "offset" keyword in YARA rules specifies the exact byte position where the pattern (in this case, 'str1') should appear. Thus, the correct interpretation of the YARA rule example is that it flags instances where 'str1' appears 25 bytes into the file, indicating a very specific pattern match used for identifying potentially malicious files or activities that conform to this pattern.
NEW QUESTION # 74
What Is the result of the following AQL statement?
- A. Returns all fields where the username contains the ERS string and is case-insensitive
- B. Returns all fields where the username is different from the ERS string and is case-sensitive
- C. Returns all fields where the username contains the ERS string and is case-sensitive
- D. Returns all fields where the username is different from the ERS string and is case-insensitive
Answer: A
Explanation:
The AQL (Ariel Query Language) statement provided would return all fields from the 'events' table where the 'username' column contains the string 'ERS', regardless of case. The 'ILIKE' operator in AQL is used for case-insensitive pattern matching, which means that it will match 'ers', 'Ers', 'ErS', etc.
NEW QUESTION # 75
What are two (2) axis types available when creating a time series chart?
- A. Log
- B. Circular
- C. Linear
- D. Crossed
- E. Flat''
Answer: A,C
Explanation:
* Understanding Time Series Charts in QRadar: Time series charts in IBM QRadar are used to plot data points over time. The axes of these charts are crucial as they define how data is represented and interpreted.
* Types of Axis:
* Linear Axis: A linear axis displays data points equally spaced along the axis. This is useful for evenly distributed data and straightforward trends.
* Logarithmic (Log) Axis: A log axis represents data on a logarithmic scale. This is useful for data that spans several orders of magnitude and for visualizing exponential trends.
* Selection of Axis Types: When creating time series charts in QRadar, users can choose from various axis types to best represent their data. The linear and log axes are commonly used due to their effectiveness in displaying a wide range of data types and trends.
* Reference Confirmation: According to IBM QRadar documentation, the linear and logarithmic axes are supported for time series charts, making them the correct choices.
References:
* IBM QRadar documentation on charting options and axis types confirms the availability of linear and logarithmic axes.
NEW QUESTION # 76
Which two (2) AQL functions are used for calculations and formatting?
- A. STRLEN
- B. START
- C. INCIDR
- D. LOWER
- E. GROUP BY
Answer: A,D
Explanation:
Within IBM Security QRadar's Ariel Query Language (AQL), functions play a crucial role in manipulating data, performing calculations, and formatting results for more insightful analysis. Among the options provided,
"LOWER" (C) and "STRLEN" (D) are valid AQL functions used for formatting and calculations, respectively.
The "LOWER" function is used to convert a string to lowercase, which can be useful for case-insensitive comparisons or data normalization. The "STRLEN" function calculates the length of a string, providing valuable information about the data content, such as detecting unusually long or short values that might indicate anomalies or issues within the event or flow data .
NEW QUESTION # 77
What feature in QRadar uses existing asset profile data so administrators can define unknown server types and assign them to a server definition in building blocks and in the network hierarchy?
- A. Server profiles
- B. Active servers
- C. Server roles
- D. Server discovery
Answer: D
Explanation:
In IBM Security QRadar SIEM V7.5, the feature that utilizes existing asset profile data to define unknown server types and assign them to server definitions in building blocks and in the network hierarchy is known as
"Server Discovery." This feature grants permission to discover servers, thereby enabling administrators to identify and classify various server types within their network infrastructure, enhancing the overall asset management and security posture.
NEW QUESTION # 78
What does this example of a YARA rule represent?
rule ibm_forensics : qradar
meta:
description = "Complex Yara rule."
strings:
Shexl = {4D 2B 68 00 ?? 14 99 F9 B? 00 30 Cl 8D}
Sstrl = "IBM Security!"
condition:
Shexl and (#strl > 3)
- A. Flags content that contains the hex sequence, and str1 greater than three times
- B. Flags for str 1 at an offset of 25 bytes into the file
- C. Flags content that contains the hex sequence, and hex1 at least three times
- D. Flags containing hex sequence and str1 less than three times
Answer: A
Explanation:
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. TheShex1represents a hexadecimal string pattern, andSstr1represents a literal string "IBM Security!". The conditionShex1 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.
NEW QUESTION # 79
Which types of information does QRadar analyze to create an offense from the rule?
- A. Incoming events and flows, asset information, and known vulnerabilities
- B. Known vulnerabilities, known threats, and incoming and outgoing events
- C. Incoming and outgoing events, unknown vulnerabilities, and malware
- D. Malware, asset, firewall, and incoming events
Answer: A
Explanation:
* Understanding Offense Creation in QRadar: QRadar SIEM generates offenses based on the correlation of various types of information to detect potential security threats and incidents.
* Analyzed Information for Offense Creation:
* Incoming Events and Flows: QRadar collects and analyzes incoming log events and network flows to identify suspicious activities.
* Asset Information: Information about the assets within the organization, including their roles and vulnerabilities, is crucial for accurate threat detection.
* Known Vulnerabilities: QRadar uses data about known vulnerabilities to correlate events and determine if a potential threat is exploiting these vulnerabilities.
* Relevance of the Selected Information: The combination of incoming events, flows, asset information, and known vulnerabilities provides a comprehensive view that helps QRadar accurately identify and correlate potential security incidents, resulting in the creation of offenses.
* Reference Confirmation: According to IBM QRadar documentation, the correct combination of analyzed information for creating offenses includes incoming events and flows, asset information, and known vulnerabilities.
References:
* IBM QRadar documentation on offense creation and analysis confirms the use of incoming events, flows, asset information, and known vulnerabilities.
NEW QUESTION # 80
Which two (2) options are at the top level when an analyst right-clicks on the Source IP or Destination IP that is associated with an offense at the Offense Summary?
- A. Navigate
- B. WHOIS Lookup
- C. Information
- D. DNS Lookup
- E. Asset Summary page
Answer: B,D
Explanation:
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.
NEW QUESTION # 81
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