Technical Sales Foundations for IBM QRadar for Cloud (QRoC) V1 - V12.35
Test Your Technical Sales Knowledge for IBM QRadar
Welcome to the Technical Sales Foundations quiz for IBM QRadar on Cloud! This quiz is designed to assess your knowledge and understanding of the key components involved in selling and managing QRadar solutions effectively.
Get ready to challenge yourself with 40 engaging questions that cover:
- Flow and event collection
- QRadar cloud deployment
- Vulnerability management
- Custom rules optimization
Which appliance types can collect flows and events from all log sources on premises to send to Qradar on cloud?
Data only
Data node
Data store
Data gateway
Which are supported report format in QRadar
PDF, HTML, RTF
PDF, HTML, JPEG
PDF, HTML, GIF, PPTX
PDF, HTML, GIF, MPEG
Which are the key components to perform event collections from third party devices
DSM, log sources, log source protocol, VIS
Automatic updates, dashboards, log sources, reports
Automatic updates, DSM, log sources, log source protocol
Custom action scripts, scripts, notifications, responses, response limiter
Why are offenses created in Qradar?
To correlate index properties grouped in dashboards
To eliminate the need to perform security investigations
To group non correlated vulnerabilities data into single view
To connect multiple suspicious symptoms into a single incident
Where does the data gets encrypted in QRadar cloud deployment?
In Routing rules
In Vulnerability scans
In customer log sources
In transport and storage
How are investigations performed from event and flow data?
Via Vulnerability scans
Via log source management
Via indexing all properties in QRadar
Via the log activity and network activity tabs
What are the benefits of QRadar on cloud?
Includes incidents and offences tuning services
Includes system health Monitoring and offence management services
Includes vulnerability management and dashboard configuration services
Includes system health monitoring and infrastructure management services
Which statement describes the value of Qradar network insights (QNI) flow data provides with Qradar
QNI flow data contains routing rules that can be searched and tested in rules
QNI flow data contains vulnerability data that can be searched or tested in rules
QNI flow data contains full packet captures that can be replayed during forensic investigations
QNI flow data contains automatically extracted payload fields that can be searched or tested
What is the main difference between building blocks and rules?
Building blocks analyzes normalize data while rules analyze raw data
Building blocks are analyzed by event collectors while the rules are analyzed by event processors
Building blocks are released via IBM security App exchange while rules are released via auto updates
Building blocks are collection of tests without actions and responses while rules may have actions and responses
Which QRadar type of rules can test against both incoming event and flow data?
Flow rules
Event Rules
Offences Rules
Common Rules
Which is a capabilities gap between on Prem QRadar and QRadar on Cloud
Two Datacenters currently hosts QRadar on Cloud Environment
QRadar on Cloud is unable to Scale beyond 100K events per second
Installation of application tokens required IBM operation team interaction
Investigation of the offences logs and data requires generation of support of service ticket
What is Flow Bias?
Rules test configuration that prioritize event test conditions over flow test conditions
Rules test configuration that prioritize Flow test conditions over event test condition
A calculation that describes the absolute size or data transfer bias of a flow entering or leaving the network
A calculation that describes the relative size or data transfer bias of a flow entering or leaving the network
What does it mean to normalize the information found in raw events in Qradar SIEM
To transform packets in to flows
To store raw data in compressed state
To map information to common field names
To test data against custom rule engine
Which deployment module are supported for QRadar on cloud data gateways
Deployment on windows VM
Deployment on Ubuntu Linux VM
Deployment on MAC OS VM and physical appliance
Deployment on red hat enterprise Linux, VM, and physical appliance
Which approach should be used to develop and optimize custom rules
Avoid using index properties
Use as many tests possible
Start with payload and regex test
Start with broad categories that narrow the data that a rule tests evaluates
In addition of United states of America in which other countries are Qradar on cloud deployed
Belgium, Colombia, France, Indonesia
Ireland, Luxembourg, panama, Romania
Denmark, India, Netherlands, South Africa
Brazil, Canada, Germany, United Kingdom
When no Flows are being collected by a single QRadar on cloud data gateway, what is the maximum events per second supported by that data gateway?
2000 EPS
10000 EPS
25000 EPS
50000 EPS
How does a gateway appliance is deployed during QRadar on cloud onboarding process?
DevOps downloads, installs, and configures a data gateway appliance
Customer downloads, installs, and configures a data gateway appliance
Technical Deployment specialist (TDS) downloads, installs and configures a data gateway appliance
Client executive Professional (CEP) installs and configures a data gateway appliance
Which logic operator is used in QRadar to link Custom Rules Tests?
AND and OR
AND NOT and OR
AND and AND NOT
AND, AND NOT and OR
Who has full admin access to the QRadar on cloud environment?
Dev Ops
All users
SaaS Admin
QROC Admin group
What does Qradar uses to discover vulnerabilities on assets
Network or Asset tab
Dashboard or reports
DSM or building blocks
QVM or third-party scanners
What is default retention period associated with Qradar on cloud deployment
1 week
90 days
6 months
1 year
Where in offenses can the data sources that contributed to that offense be viewed?
Vulnerability data
Dashboard Page
Summary Window
Building blocks and Rules
When is Dev Ops Authorized to access the Stored Data in QRadar on Cloud?
Anytime
Upon the customer request
When setting up log sources
When authorized by DevOps Manager
What is the value of vulnerability scan data, as a data Source in QRadar?
Identify user behavior activity
Identify and Prioritize potential security issues
Correlate logs and network activity
Collect and parse log source event
When Should the TLS syslog Protocol be used?
When receiving encrypted flows.
When receiving encrypted events
When receiving clear text flows
When receiving clear test events.
What is a qflow
An external flow type that can provide high level and low-level categories from the parsed event data
An external flow type that can automatically extract numerous fields from unencrypted event payload data
An internal flow type that can capture vulnerability assessment information from unencrypted payload data.
An internal flow type that can capture a portion of unencrypted payload data and can recognize layer 7 applications
How does event differ from flow in Qradar?
Events are supports by Qradar while flows are not
Events handle network packet while flow handle log data
Events are correlation of network traffic while flows are records from device
Events are records from device that describes an action on network or host and flows
What is an administrative roles available to Qradar on cloud customers
Root
Operator
Full Admin
SaaS Admin
Why is Asset data important?
It retrieves, stores and archives log data in an encrypted format
It creates chained offense and alerts for asset dashboard widgets and apps
It builds a dataset of historical asset information and tracks it across
It builds the network hierarchy data set for future correlations of flows and events
What does log source time mean in the event detail page
Time stamp created when an event arrives at Qradar
Time stamp created when an event processor is started
Time stamp that is extracted from the event payload
Time stamp that is extracted from files when an event data is stored
What statement describes the value QFlow Flow Data Provides, within QRadar
QFlow flow data contains vulnerability information that can be searched or tested in rules
QFlow flow data contains calculated file hash data that can be searched or tested in rules
QFlow Flow data contains unencrypted payload content that can be searched or tested in rule
QFlow flow data contains high-level and low-level event categorization that can be searched and tested in rule
Which services are standard with Qradar on cloud deployment?
Offense investigations and reporting
Offense investigations, upgrades and reporting
Installation, deployment, upgrades
Installation, offense management and upgrades
What type of super flow is unidirectional flow that has same source and multiple destinations?
Type A superflow (Network Scans)
Type B superflow (DDOS)
Type C superflow (Port scans)
Type D Superflow (XFE)
What are the key advantages of QRadar on Cloud?
Achieves, offence investigations, hardware maintenance and high availability
Power redundancy, console management, load balancing and compliance reporting
High availability, vulnerability scans, setting up log sources and back up activities
Rapid time to value, flexible licensing, lower deployment costs, mitigate hardware infrastructure issues
Which are QRadar on cloud advantages over on premises deployment?
Collect flows and events and vulnerability data
Any version of QRadar can be chosen to run on Cloud
IBM monitors system health, installs, deploys and upgrades QRadar environment
Detects attacks and manages incidents, creates and manages assets imports and correlates vulnerabilities
Which on-premise deployment model is supported by QRadar on Cloud
Utilizing an App node to collect on Premise Data
Utilizing a data gateway to collect on Premise Data
Utilizing QRadar Risk Manager to collect on Premise firewall data
Utilizing a direct syslog connection to the cloud, to collect on premise data
What type of data sources are supported in Qradar cloud deployments?
Event data and firewall configurations
Event data, flow data, and firewall configurations
Event data, flow data and LDAP user details
Event data, flow data, vulnerability scan data
In the scenario where Qradar on cloud client wishes to integrate an AWS hosted data source
Deploying a dedicated Qradar instance is required in AWS
Deploying data gateway in AWS is required to collect data from the environmentc.
Deploying a Data Gateway in event hub is required for data sources
Deploying a data gateway or utilizing a TLS Connection directly from QRadar - CloudWatch and CloudTrail
What role does the data gateway play within a QRadar on cloud deployed?
It is responsible for scheduling reports
It is responsible for tracking user logins to QRadar On Cloud
It is responsible for securely transferring data from the client's environment to the cloud instance
It is responsible for transferring data from the cloud back to into client's on-premise environment
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