Learn with Palo Alto Networks : PCSAE training material for 100% pass
Last Updated: Aug 19, 2026
No. of Questions: 158 Questions & Answers with Testing Engine
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Palo Alto PCSAE Exam Topics:
| Section | Weight | Objectives |
|---|---|---|
| Incident Types, Indicator Types, Layouts, and Fields | 20% | Compare and contrast the different incident types. - Outline the capabilities, functions, and features related to each incident type. - Summarize the relationship between external data and the XSOAR incident type. -Assess the consequences of miscategorized incident types. -Describe how to leverage machine learning in XSOAR. - Schedule a job to create a new incident to run a playbook. Outline the different layout types. -Summarize the purpose of each layout type. -Specify the different incident layout special sections. -Summarize the main layout options. Compare and contrast the different indicator types. - Outline the capabilities, functions, and features related to each indicator type. -Explain how data is mapped to an indicator. -Define criteria for exclusion list entries. Summarize field types, associated capabilities, and purpose. -Outline the different field types. - Align appropriate field types to data types. -Summarize how fields are created and used. -Outline advanced field capabilities. |
| Content Updates and Content Management | 10% | Outline marketplace concepts. -Identify challenges and benefits related to marketplace concepts. -Describe marketplace content. -Outline the product development lifecycle. - Identify how content can be searched. - Describe the relationship between the marketplace and Docker. Apply custom content and manage content updates -Describe the purpose of content updates. - Outline the process of how content is updated and why. - Summarize the relationship between customer content and existing content updates. - Outline recommendations for content updates and when custom content would be appropriate. -Identify the benefits of custom content. -Describe how new content gets implemented. - Explain when imports or exports are appropriate and how it would be done. |
| Solution Architecture | 15% | Describe the components of the XSOAR System Architecture. - Describe the relationship between servers, live backup, Devprod, and other available components. -Summarize how XSOAR uses the Docker component. -Specify the benefits and differences between back-up types. - Differentiate between a stand-alone tenant and multi-tenant. - Describe threat intelligence management capabilities. Assess system architecture and outline scalability opportunities. -Review the system diagram and summarize the flow of data. -Export log bundle and send for investigation. - Identify common errors and refer for troubleshooting. - Identify usage of engines. Create incidents using XSOAR. - Describe the three ways incidents are created. - Understand the logic and order of incident creation. |
| Automations and Integration and Related Concepts | 20% | Use automations to respond to incidents -Outline the different types of automation. -Differentiate between inputs and outputs. -Apply script helper. -Apply permission access. -Differentiate automation objects. -Apply appropriate automation commands. -Identify how to build and test automations. -Use automations for Incidents and Playbook tasks. Outline integration concepts. -Differentiate between parameters and arguments. - Implement role-based access and controls (RBAC). - Define integration types. -Describe capabilities related to custom integrations. - Describe the process of contributing integrations to the marketplace. Configure integration instances. - Apply basic troubleshooting if the integration is not performing. -Apply the appropriate classification and mapping technique. -Classify and map a set of data to different types of fields. |
| Playbook Development | 25% | Conceptualize context data. - Query and use context data. -Differentiate between public and private contexts. Summarize the difference between inputs, outputs and results for playbook tasks. - Describe inputs and outputs for playbook tasks. -Describe inputs and outputs sub-playbooks. -Configure playbooks using the UI (e.g., box of text that you fill in). - Read, troubleshoot, and respond to error conditions.Outline how to use Loop sub-playbooks -Differentiate between the three different loop types of playbooks. Differentiate between playbook task types. - Differentiate between manual, automatic, and conditional playbook tasks. - Gather, analyze, and evaluate data to make decisions about specific playbook task types. Use Filters and transformers to manipulate data. - Explain the difference between filters and transformers. -Identify when filtering and transforming data is required. - Specify and explain different options of filters and transformers. |
| UI Workflow, Dashboards, and Reports | 10% | Navigate the UI and query system data. - Navigate between the different options in the system. - Write a structured query using the appropriate syntax. Summarize the workflow elements used during an investigation. - Outline the purpose of the workflow elements. - Differentiate the workflow elements and the impact on an investigation. Create dashboards and reports. - Outline the difference between dashboards and reports. -Select the appropriate dashboard or report. - Summarize what information can be added, edited or shared within dashboards and reports. Apply the appropriate widget type. - Describe the purpose of widgets. -Define when custom widgets are necessary. |
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How much Palo Alto Networks Certified Security Automation Engineer costs
- Examination Name: Palo Alto PCSAE
- Length of Exam: 120 min
- Passing Score: 70% or higher
- Types of inquiries: Performance
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Understanding commonsensical and specific items of town Networks Certified Security Automation Engineer
The going with are going to be mentioned within the Palo Alto PCSAE exam dumps:
- Question and use setting data
- Summarize the defense every arrangement sort
- Establish whereas secluding and ever-changing data is needed
- Read, investigate, and react to destroy conditions
- Assess the results of miscategorized occasion varieties
- Justify however data is planned to a marker
- Outline standards for prohibition list sections
- Define the cutoff points, cutoff points, and highlights known with each occasion sort
- Differentiate among public and personal settings
- Define a way to utilize Loop sub-playbook
- Define the various field varieties
- Use Filters and transformers to regulate data
- Differentiate between manual, tweaked, and surprising playbook tries
- Summarize however fields ar created and utilised
- Conceptualise setting data
- Tack together playbooks utilizing the UI (e.g., box of text that you simply fill in)
- Define the cutoff points, cutoff points, and highlights known with each pointer sort
- Use mechanizations to react to scenes
- Define the precise course of action varieties
- Schedule one thing important for cause another scenario to run a playbook
- Differentiate between playbook task varieties
- Specify the various occasion arrange uncommon segments
- Differentiate between the 3 classified circle styles of playbooks
- Summarize the basic arrangement selections
- Specify and clarify varied decisions of channels and transformers
- Define progressed field limits
- Gather, examine, and assess data to decide on decisions concerning specific playbook task varieties
- Describe data sources and yields for playbook undertakings
- Describe knowledge sources and yields sub-playbooks
- Automations and Integration and connected ideas
- Compare and partition the various scene varieties
- Justify the excellence among channels and transformers
- Summarize field varieties, connected cutoff points, and reason
- Summarize the separation between wellsprings of knowledge, yields and results for playbook assignments
- Describe a way to use AI in XSOAR
- Incident varieties, Indicator varieties, Layouts, and Fields
- Compare and partition the unquestionable pointer varieties
- Summarize the link between outside data and therefore the XSOAR occasion sort
- Align authentic field varieties to data varieties
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