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100％合格率のXDR-Engineer認定試験 &合格スムーズXDR-Engineer日本語独学書籍 |ハイパスレートのXDR-Engineer学習関連題

最近、Palo Alto Networks　XDR-Engineer試験に合格するのは重要な課題になっています。同時に、XDR-Engineer資格認証を受け入れるのは傾向になります。XDR-Engineer試験に参加したい、我々GoShikenのXDR-Engineer練習問題を参考しましょう。弊社は1年間の無料更新サービスを提供いたします。あなたがご使用になっているとき、何か質問がありましたらご遠慮なく弊社とご連絡ください。

Palo Alto Networks XDR-Engineer 認定試験の出題範囲：

トピック
出題範囲

トピック 1

Ingestion and Automation: This section of the exam measures skills of the security engineer and covers onboarding various data sources including NGFW, network, cloud, and identity systems. It also includes managing simple automation rules, configuring Broker VM applets and clusters, setting up XDR Collectors, and creating parsing rules for data normalization and automation within the Cortex XDR environment.

トピック 2

Planning and Installation: This section of the exam measures skills of the security engineer and covers the deployment process, objectives, and required resources such as hardware, software, data sources, and integrations for Cortex XDR. It also includes understanding and explaining the deployment and functionality of components like the XDR agent, Broker VM, XDR Collector, and Cloud Identity Engine. Additionally, it assesses the ability to configure user roles, permissions, and access controls, as well as knowledge of data retention and compute unit considerations.

トピック 3

Cortex XDR Agent Configuration: This section of the exam measures skills of the XDR engineer and covers configuring endpoint prevention profiles and policies, setting up endpoint extension profiles, and managing endpoint groups. The focus is on ensuring endpoints are properly protected and policies are consistently applied across the organization.

トピック 4

Maintenance and Troubleshooting: This section of the exam measures skills of the XDR engineer and covers managing software component updates for Cortex XDR, such as content, agents, Collectors, and Broker VM. It also includes troubleshooting data management issues like data ingestion and parsing, as well as resolving issues with Cortex XDR components to ensure ongoing system reliability and performance.

トピック 5

Detection and Reporting: This section of the exam measures skills of the detection engineer and covers creating detection rules to meet security requirements, including correlation, custom prevention rules, and the use of behavioral indicators of compromise (BIOCs) and indicators of compromise (IOCs). It also assesses configuring exceptions and exclusions, as well as building custom dashboards and reporting templates for effective threat detection and reporting.

>> XDR-Engineer認定試験 <<

XDR-Engineer日本語独学書籍 & XDR-Engineer学習関連題

オンライン版はあらゆる電子機器に公開されています。同時に、XDR-Engineer学習資料のオンライン版はオフライン状態でも使用できます。オンライン状態にあるときに初めてオンラインバージョンを使用する必要があります。 XDR-Engineer学習教材のバージョンをオフラインで使用する権利があります。また、XDR-Engineerの学習教材をさらに検討する場合は、短時間でXDR-Engineer試験に簡単に合格する必要があります。

Palo Alto Networks XDR Engineer 認定 XDR-Engineer 試験問題 (Q23-Q28):

質問 # 23
During the deployment of a Broker VM in a high availability (HA) environment, after configuring the Broker VM FQDN, an XDR engineer must ensure agent installer availability and efficient content caching to maintain performance consistency across failovers. Which additionalconfiguration steps should the engineer take?

A. Deploy a load balancer and configure SSL termination at the load balancer
B. Upload the-signed SSL server certificate and key and deploy a load balancer
C. Use shared SSL certificates and keys for all Broker VMs and configure a single IP address for failover
D. Enable synchronized session persistence across Broker VMs and use a self-signed certificate and key

正解：B

解説：
In a high availability (HA) environment, theBroker VMin Cortex XDR acts as a local proxy to facilitate agent communications, content caching, and installer distribution, reducing dependency on direct cloud connections. To ensureagent installer availabilityandefficient content cachingacross failovers, the Broker VM must be configured to handle agent requests consistently, even if one VM fails. This requires proper SSL certificate management and load balancing to distribute traffic across multiple Broker VMs.
* Correct Answer Analysis (B):The engineer shouldupload the signed SSL server certificate and key to each Broker VM to secure communications and ensure trust between agents and the Broker VMs.
Additionally, deploying aload balancerin front of the Broker VMs allows traffic to be distributed across multiple VMs, ensuring availability and performance consistency during failovers. The load balancer uses the configured Broker VM FQDN to route agent requests, and the signed SSL certificate ensures secure, uninterrupted communication. This setup supports content caching and installer distribution by maintaining a stable connection point for agents.
* Why not the other options?
* A. Use shared SSL certificates and keys for all Broker VMs and configure a single IP address for failover: While shared SSL certificates can be used, configuring a single IP address for failover (e.g., via VRRP or a floating IP) is less flexible than a load balancer and may not efficiently handle content caching or installer distribution across multiple VMs. Load balancers are preferred for HA setups in Cortex XDR.
* C. Deploy a load balancer and configure SSL termination at the load balancer: SSL termination at the load balancer means the load balancer decrypts traffic before forwarding it to the Broker VMs, requiring unencrypted communication between the load balancer and VMs. This is not recommended for Cortex XDR, as Broker VMs require end-to-end SSL encryption for security, and SSL termination complicates certificate management.
* D. Enable synchronized session persistence across Broker VMs and use a self-signed certificate and key: Self-signed certificates are not recommended for production HA environments, as they can cause trust issues with agents and require manual configuration.
Synchronized session persistence is not a standard feature for Broker VMs and is unnecessary for content caching or installer availability.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes Broker VM HA configuration: "For high availability, deploy multiple Broker VMs behind a load balancer and upload a signed SSL server certificate and key to each VM to secure agent communications" (paraphrased from the Broker VM Deployment section). TheEDU-
260: Cortex XDR Prevention and Deploymentcourse covers Broker VM setup, stating that "a load balancer with signed SSL certificates ensures agent installer availability and content caching in HA environments" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes
"planning and installation" as a key exam topic, encompassing Broker VM deployment for HA.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

質問 # 24
During a recent internal purple team exercise, the following recommendation is given to the detection engineering team: Detect and prevent command line invocation of Python on Windows endpoints by non- technical business units. Which rule type should be implemented?

A. Correlation
B. Indicator of Compromise (IOC)
C. Analytics Behavioral Indicator of Compromise (ABIOC)
D. Behavioral Indicator of Compromise (BIOC)

正解：D

解説：
The recommendation requires detecting and preventing the command line invocation of Python (e.g., python.
exe or py.exe) on Windows endpoints, specifically for non-technical business units. This involves identifying a specific behavior (command line execution of Python) and enforcing a preventive action (e.g., blocking the process). In Cortex XDR,Behavioral Indicators of Compromise (BIOCs)are used to define and detect specific patterns of behavior on endpoints, such as command line activities, and can be paired with a Restriction profileto block the behavior.
* Correct Answer Analysis (B):ABehavioral Indicator of Compromise (BIOC)rule should be implemented. The BIOC can be configured to detect the command line invocation of Python by defining conditions such as the process name (python.exe or py.exe) and the command line arguments.
For example, a BIOC rule might look for process = python.exe with a command line pattern like cmd.
exe /c python*. This BIOC can then be added to a Restriction profile to prevent the execution of Python by non-technical business units, which can be targeted by applying the profile to specific endpoint groups (e.g., those assigned to non-technical units).
* Why not the other options?
* A. Analytics Behavioral Indicator of Compromise (ABIOC): ABIOCs are analytics-driven rules generated by Cortex XDR's machine learning and behavioralanalytics, not user-defined rules. They are not suitable for creating custom detection and prevention rules like the one needed here.
* C. Correlation: Correlation rules are used to generate alerts by correlating events across multiple datasets (e.g., network and endpoint data), but they do not directly prevent behaviors like command line execution.
* D. Indicator of Compromise (IOC): IOCs are used to detect specific artifacts (e.g., file hashes, IP addresses) associated with known threats, not to detect and prevent behavioral patterns like command line execution.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains BIOC rules: "Behavioral Indicators of Compromise (BIOCs) can detect specific endpoint behaviors, such as command line invocation of processes like Python, and prevent them when added to a Restriction profile" (paraphrased from the BIOC section). TheEDU-260:
Cortex XDR Prevention and Deploymentcourse covers detection engineering, stating that "BIOCs are used to detect and block specific behaviors, such as command line executions, on Windows endpoints" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes
"detection engineering" as a key exam topic, encompassing BIOC rule creation.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

質問 # 25
An XDR engineer is creating a correlation rule to monitor login activity on specific systems. When the activity is identified, an alert is created. The alerts are being generated properly but are missing the username when viewed. How can the username information be included in the alerts?

A. Select "Initial Access" in the MITRE ATT&CK mapping to include the username
B. Add a drill-down query to the alert which pulls the username field
C. Update the query in the correlation rule to include the username field
D. Add a mapping for the username field in the alert fields mapping

正解：D

解説：
In Cortex XDR,correlation rulesare used to detect specific patterns or behaviors (e.g., login activity) by analyzing ingested data and generating alerts when conditions are met. For an alert to include specific fields likeusername, the field must be explicitly mapped in thealert fields mappingconfiguration of the correlation rule. This mapping determines which fields from theunderlying dataset are included in the generated alert's details.
In this scenario, the correlation rule is correctly generating alerts for login activity, but theusernamefield is missing. This indicates that the correlation rule's query may be identifying the relevant events, but the usernamefield is not included in the alert's output fields. To resolve this, the engineer must update thealert fields mappingin the correlation rule to explicitly include theusernamefield, ensuring it appears in the alert details when viewed.
* Correct Answer Analysis (C):Adding a mapping for theusernamefield in thealert fields mapping ensures that the field is extracted from the dataset and included in the alert's metadata. This is done in the correlation rule configuration, where administrators can specify which fields to include in the alert output.
* Why not the other options?
* A. Select "Initial Access" in the MITRE ATT&CK mapping to include the username:
Mapping to a MITRE ATT&CK technique like "Initial Access" defines the type of attack or behavior, not specific fields likeusername. This does not address the missing field issue.
* B. Update the query in the correlation rule to include the username field: While the correlation rule's query must reference theusernamefield to detect relevant events, including it in the query alone does not ensure it appears in the alert's output. Thealert fields mappingis still required.
* D. Add a drill-down query to the alert which pulls the username field: Drill-down queries are used for additional investigation after an alert is generated, not for including fields in the alert itself. This does not solve the issue of missingusernamein the alert details.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes correlation rule configuration: "To include specific fields in generated alerts, configure the alert fields mapping in the correlation rule to map dataset fields, such as username, to the alert output" (paraphrased from the Correlation Rules section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers detection engineering, stating that "alert fields mapping determines which data fields are included in alerts generated by correlation rules" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing correlation rule configuration.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-262: Cortex XDR Investigation and Response Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

質問 # 26
An engineer is building a dashboard to visualize the number of alerts from various sources. One of the widgets from the dashboard is shown in the image below:

The engineer wants to configure a drilldown on this widget to allow dashboard users to select any of the alert names and view those alerts with additional relevant details. The engineer has configured the following XQL query to meet the requirement:
dataset = alerts
| fields alert_name, description, alert_source, severity, original_tags, alert_id, incident_id
| filter alert_name =
| sort desc _time
How will the engineer complete the third line of the query (filter alert_name =) to allow dynamic filtering on a selected alert name?

A. $x_axis.name
B. $y_axis.value
C. $x_axis.value
D. $y_axis.name

正解：C

解説：
In Cortex XDR, dashboards and widgets supportdrilldownfunctionality, allowing users to click ona widget element (e.g., an alert name in a bar chart) to view detailed data filtered by the selected value. This is achieved usingXQL (XDR Query Language)queries with dynamic variables that reference the clicked element's value. In the provided XQL query, the engineer wants to filter alerts based on thealert_nameselected in the widget.
The widget likely displays alert names along thex-axis(e.g., in a bar chart where each bar represents an alert name and its count). When a user clicks on an alert name, the drilldown query should filter the dataset to show only alerts matching that selectedalert_name. In XQL, dynamic filtering for drilldowns uses variables like $x_axis.value to capture the value of the clicked element on the x-axis.
* Correct Answer Analysis (B):The variable$x_axis.valueis used to reference the value of the x-axis element (in this case, thealert_name) selected by the user. Completing the query with filter alert_name
= $x_axis.value ensures that the drilldown filters the alerts dataset to show only those records where the alert_namematches the clicked value.
* Why not the other options?
* A. $y_axis.value: This variable refers to the value on the y-axis, which typically represents a numerical value (e.g., the count of alerts) in a chart, not the categoricalalert_name.
* C. $x_axis.name: This is not a valid XQL variable for drilldowns. XQL uses $x_axis.value to capture the selected value, not $x_axis.name.
* D. $y_axis.name: This is also not a valid XQL variable, and the y-axis is not relevant for filtering byalert_name.
Exact Extract or Reference:
TheCortex XDR Documentation Portalin theXQL Reference Guideexplains drilldown configuration: "To filter data based on a clicked widget element, use $x_axis.value to reference the value of the x-axis category selected by the user" (paraphrased from the Dashboards and Widgets section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers dashboard creation and XQL, noting that "drilldown queries use variables like $x_axis.value to dynamically filter based on user selections" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetlists "dashboards and reporting" as a key exam topic, including configuring interactive widgets.
References:
Palo Alto Networks Cortex XDR Documentation Portal: XQL Reference Guide (https://docs-cortex.
paloaltonetworks.com/)
EDU-262: Cortex XDR Investigation and Response Course Objectives
Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

質問 # 27
Which configuration profile option with an available built-in template can be applied to both Windows and Linux systems by using XDR Collector?

A. HTTP Collector template
B. XDR Collector settings
C. Winlogbeat
D. Filebeat

正解：D

解説：
TheXDR Collectorin Cortex XDR is a lightweight tool for collecting logs and events from servers and endpoints, including Windows and Linux systems, and forwarding them to the Cortex XDR cloud for analysis. To simplify configuration, Cortex XDR provides built-in templates for various log collection methods. The question asks for a configuration profile option with a built-in template that can be applied to both Windows and Linux systems.
* Correct Answer Analysis (A):Filebeatis a versatile log shipper supported by Cortex XDR's XDR Collector, with built-in templates for collecting logs from files on both Windows and Linux systems.
Filebeat can be configured to collect logs from various sources (e.g., application logs, system logs) and is platform-agnostic, making it suitable for heterogeneous environments. Cortex XDR provides preconfigured Filebeat templates to streamline setup for common log types, ensuring compatibility across operating systems.
* Why not the other options?
* B. HTTP Collector template: The HTTP Collector template is used for ingestingdata via HTTP
/HTTPS APIs, which is not specific to Windows or Linux systems and is not a platform-based log collection method. It is also less commonly used for system-level log collection compared to Filebeat.
* C. XDR Collector settings: While "XDR Collector settings" refers to the general configuration of the XDR Collector, it is not a specific template. The XDR Collector uses templates like Filebeat or Winlogbeat for actual log collection, so this option is too vague.
* D. Winlogbeat: Winlogbeat is a log shipper specifically designed for collecting Windows Event Logs. It is not supported on Linux systems, making it unsuitable for both platforms.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes XDR Collector templates: "Filebeat templates are provided for collecting logs from files on both Windows and Linux systems, enabling flexible log ingestion across platforms" (paraphrased from the Data Ingestion section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers XDR Collector configuration, stating that "Filebeat is a cross-platform solution for log collection, supported by built-in templates for Windows and Linux" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing XDR Collector templates.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

質問 # 28
......

現在の市場では、XDR-Engineer最新の質問のようなXDR-Engineer試験の準備に使用される有効なXDR-Engineer学習教材を購入するのは困難です。国内および国際市場での人気と品質自体の両方で、他の種類の教材はXDR-Engineerテストガイドと比較できず、はるかに劣っています。 XDR-Engineer認定ツールには、国内市場に独自の固定クライアントベースがあり、国際市場で重要なシェアを持ち、ますます多くの外国クライアントを引き付けています。

XDR-Engineer日本語独学書籍: https://www.goshiken.com/Palo-Alto-Networks/XDR-Engineer-mondaishu.html