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79. Frage
In incident-related widgets, how would you filter the display to only show incidents that were "starred"?
Antwort: B
Begründung:
To filter the display to only show incidents that were "starred", you need to click the star in the widget. This will apply a filter that shows only the incidents that contain a starred alert, which is an alert that matches a specific condition that you define in the incident starring configuration. You can use the incident starring feature to prioritize and focus on the most important or relevant incidents in your environment1.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Create a custom XQL widget: This is not the correct answer. Creating a custom XQL widget is not necessary to filter the display to only show starred incidents. A custom XQL widget is a widget that you create by using the XQL query language to define the data source and the visualization type. You can use custom XQL widgets to create your own dashboards or reports, but they are not required for filtering incidents by stars2.
B . This is not currently supported: This is not the correct answer. Filtering the display to only show starred incidents is currently supported by Cortex XDR. You can use the star icon in the widget to apply this filter, or you can use the Filter Builder to create a custom filter based on the Starred field1.
C . Create a custom report and filter on starred incidents: This is not the correct answer. Creating a custom report and filtering on starred incidents is not the only way to filter the display to only show starred incidents. A custom report is a report that you create by using the Report Builder to define the data source, the layout, and the schedule. You can use custom reports to generate and share periodic reports on your Cortex XDR data, but they are not the only option for filtering incidents by stars3.
In conclusion, clicking the star in the widget is the simplest and easiest way to filter the display to only show incidents that were "starred". By using this feature, you can quickly identify and focus on the most critical or relevant incidents in your environment.
Reference:
Filter Incidents by Stars
Create a Custom XQL Widget
Create a Custom Report
80. Frage
Which engine, of the following, in Cortex XDR determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident?
Antwort: D
Begründung:
The engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident is the Causality Analysis Engine. The Causality Analysis Engine is one of the core components of Cortex XDR that performs advanced analytics on the data collected from various sources, such as endpoints, networks, and clouds. The Causality Analysis Engine uses machine learning and behavioral analysis to identify the root cause, the attack chain, and the impact of each alert. It also groups related alerts into incidents based on the temporal and logical relationships among the alerts. The Causality Analysis Engine helps to reduce the noise and complexity of alerts and incidents, and provides a clear and concise view of the attack story12.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Sensor Engine: This is not the correct answer. The Sensor Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Sensor Engine is the component that runs on the Cortex XDR agents installed on the endpoints. The Sensor Engine collects and analyzes endpoint data, such as processes, files, registry keys, network connections, and user activities. The Sensor Engine also enforces the endpoint security policies and performs prevention and response actions3.
C . Log Stitching Engine: This is not the correct answer. The Log Stitching Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Log Stitching Engine is the component that runs on the Cortex Data Lake, which is the cloud-based data storage and processing platform for Cortex XDR. The Log Stitching Engine normalizes and stitches together the data from different sources, such as firewalls, proxies, endpoints, and clouds. The Log Stitching Engine enables Cortex XDR to correlate and analyze data from multiple sources and provide a unified view of the network activity and threat landscape4.
D . Causality Chain Engine: This is not the correct answer. Causality Chain Engine is not a valid name for any of the Cortex XDR engines. There is no such engine in Cortex XDR that performs the function of determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident.
In conclusion, the Causality Analysis Engine is the engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident. By using the Causality Analysis Engine, Cortex XDR can provide a comprehensive and accurate detection and response capability for security analysts.
Reference:
Cortex XDR Pro Admin Guide: Causality Analysis Engine
Cortex XDR Pro Admin Guide: View Incident Details
Cortex XDR Pro Admin Guide: Sensor Engine
Cortex XDR Pro Admin Guide: Log Stitching Engine
81. Frage
What contains a logical schema in an XQL query?
Antwort: B
Begründung:
A logical schema in an XQL query is a field, which is a named attribute of a dataset. A field can have a data type, such as string, integer, boolean, or array. A field can also have a modifier, such as bin or expand, that transforms the field value in the query output. A field can be used in the select, where, group by, order by, or having clauses of an XQL query. Reference:
XQL Syntax
XQL Data Types
XQL Field Modifiers
82. Frage
When is the wss (WebSocket Secure) protocol used?
Antwort: A
Begründung:
The WSS (WebSocket Secure) protocol is an extension of the WebSocket protocol that provides a secure communication channel over the internet. It is used to establish a persistent, full-duplex communication channel between a client (in this case, the Cortex XDR agent) and a server (such as the Cortex XDR management console or other components). The Cortex XDR agent uses the WSS protocol to establish a secure and real-time bidirectional communication channel with the Cortex XDR management console or other components in the Palo Alto Networks security ecosystem. This communication channel allows the agent to send data, such as security events, alerts, and other relevant information, to the management console, and receive commands, policy updates, and responses in return. By using the WSS protocol, the Cortex XDR agent can maintain a persistent connection with the management console, which enables timely communication of security-related information and allows for efficient incident response and remediation actions. It's important to note that the other options mentioned in the question also involve communication between the Cortex XDR agent and various components, but they do not specifically mention the use of the WSS protocol. For example:
A . The Cortex XDR agent downloading new security content typically utilizes protocols like HTTP or HTTPS.
B . When the Cortex XDR agent uploads alert data, it may use protocols like HTTP or HTTPS to transmit the data securely.
C . When the Cortex XDR agent connects to WildFire to upload files for analysis, it typically uses protocols like HTTP or HTTPS. Therefore, the correct answer is D, when the Cortex XDR agent establishes a bidirectional communication channel. Reference:
Device communication protocols - AWS IoT Core
WebSocket - Wikipedia
Palo Alto Networks Certified Detection and Remediation Analyst (PCDRA) - Palo Alto Networks
[What are WebSockets? | Web Security Academy]
[Palo Alto Networks Certified Detection and Remediation Analyst PCDRA certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Palo Alto Networks Certified Detection and Remediation Analyst PCDRA exam and earn Palo Alto Networks Certified Detection and Remediation Analyst PCDRA certification.]
83. Frage
Which statement is true based on the following Agent Auto Upgrade widget?
Antwort: A
Begründung:
The Agent Auto Upgrade widget shows the status of the agent auto upgrade feature on the endpoints. The widget displays the number of agents that are up to date, in progress, pending, failed, and not configured. In this case, the widget shows that there are 450 agents that are up to date, 78 in progress, 15 pending, 18 failed, and 128 not configured. This means that the agent auto upgrade feature was enabled but not on all endpoints. Reference:
Cortex XDR Agent Auto Upgrade
PCDRA Study Guide
84. Frage
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