PEGACPRSA22V1 Certified Pega Robotics System Architect 22 Questions and Answers

Comprehensive and Detailed Explanation from Pega Robotics System (Exact Extract & Context):

According to the Pega Robotics Studio User Guide – Globals Designer Reference:

“The Globals designer provides a workspace where you can define variables, constants, and lists that have global scope, meaning they can be accessed from any automation or component within the project.”

When a variable (such as const_msgID) is added from the Toolbox tab of the Globals designer, it is automatically created as a global constant.

“Constants created in the Globals designer are read-only values accessible throughout the project. Constants defined here are available to all automations and cannot be modified at runtime.”

In contrast, variables declared directly within an automation have local scope, accessible only to that specific automation. But when added via the Globals designer, the constant or variable is promoted to a project-wide scope.

Therefore:

const_msgID is a global constant accessible from every automation in the project.

It cannot be changed at runtime.

It is ideal for fixed identifiers, keys, or configuration constants used across multiple automations.

Document References (Exact Extracts Source)

Pega Robotics Studio User Guide – Globals Designer and Variable Scope

Pega Robotics Studio Automation Design Concepts – Constants and Global Variables

Pega Robotics System 8.7 Certification Study Guide – Variable Scope and Project Context Section

Final Verified Answer: A

In Pega Robot Studio, a Robot Activity serves as the link between a robotic automation (built in Pega Robot Studio) and the Pega Platform. This link allows a Pega case or data page to invoke robotic automations through the Robotic Desktop Automation (RDA) integration.

The Data Sources configuration in Pega Platform, as shown in the screenshot, defines the connection between a data page and a robotic automation. The field labeled “Robotic automation name” directly corresponds to the ActivityName property in the Robot Studio’s activity definition.

From the Pega Robotics System Design and Implementation Guide, section “Configuring Robot Activities and Integrating with Pega Platform”:

“Each robotic activity exposed to Pega Platform must have its ActivityName property defined in Robot Studio.

The ActivityName identifies the automation when it is invoked from Pega Platform through Robotic Desktop Automation (RDA) or Robotic Process Automation (RPA).

The name entered in the Pega Platform’s data page configuration (for example, FETCH_SCORE) must match exactly the ActivityName defined in the Robot Studio activity.”

Detailed Reasoning:

The screenshot shows a Data Page Source configuration where:

Source = Robotic desktop automation

Robotic automation name = FETCH_SCORE

Timeout = 5 seconds

Request Data Transform = Request

Response Data Transform = RDAResponse

The Robotic automation name (FETCH_SCORE) identifies which Robot Studio activity should execute when the Pega Platform requests the data.

In Robot Studio, this is mapped to the ActivityName property of the automation’s activity component, ensuring a direct call mapping between Pega and Robot Studio.

Option Analysis:

A. ActivityName: Correct — this is the property used to link the automation in Pega Platform to the robotic activity in Robot Studio.

B. FullName: Incorrect — FullName refers to the namespace or project structure reference, not the callable identifier.

C. (Name): Incorrect — This refers to the internal object label, not the platform reference name.

D. UniqueID: Incorrect — This is an internal system identifier used by Robot Studio for distinguishing components, not for integration with Pega Platform.

Therefore, the correct answer is A. ActivityName.

Comprehensive and Detailed Explanation From Pega Robotics System Exact Extract:

Application Discovery is the initial phase in Pega Robotics project development where developers analyze target applications before interrogation. The goal is to understand how each application behaves, what technology it uses, and how it interacts with other systems.

According to the Pega Robotics System Design and Implementation Guide, section “Application Discovery and Analysis Before Interrogation”:

“Before interrogating applications, conduct application discovery to ensure that automations can be designed effectively.

During discovery, developers should:

Determine the type and technology of each application (web, Windows, Java, or text-based).

Verify how each application is launched and operates outside Robot Studio to ensure accessibility.

Identify how many instances of each application the user accesses concurrently.

Observe dependencies or interactions between applications for orchestration planning.”

Detailed Reasoning:

A. Verify the number of application instances accessed by the user simultaneously.

Correct. This ensures that the automation can handle multiple instances (e.g., several browser windows or desktop clients).

C. Verify how the application opens outside of Pega Robot Studio.

Correct. Understanding launch methods (desktop shortcuts, URLs, credentials) helps configure adapters correctly.

E. Identify the technology on which the application is built (web, Windows, text).

Correct. This determines which adapter type (Web, Windows, or Text adapter) to configure in the project.

Incorrect Options:

B. Verify that the automation works as intended.

Incorrect. This happens after interrogation during testing, not during discovery.

D. Verify the interactions between all applications in the project.

Partially correct but not part of the discovery phase—it’s addressed in the design phase.

F. Verify the match rules on all interrogated controls.

Incorrect. This is performed after interrogation, not during discovery.

Final Correct Answer: A, C, E

Comprehensive and Detailed Explanation from Pega Robotics System (Exact Extract & Context):

According to the Pega Robotics Automation Design and Implementation Guide:

“Robotic Automation is best suited for rule-based, repetitive, and structured tasks that do not require subjective judgment or complex decision-making.”

The guide further clarifies:

“Tasks that involve human decision-making, subjective evaluation, or business judgment are not suitable for automation through RPA, as these require contextual understanding and cognitive reasoning.”

It also specifies:

“Processes that occur infrequently, such as quarterly or annual events, are not ideal candidates for automation due to low execution frequency and limited ROI from automation development and maintenance.”

Therefore:

Option A: Complex processes that require human decision management — ❌ Not suitable, as they depend on human reasoning.

Option D: Rarely occurring processes such as sending annual reports — ❌ Not suitable, since they do not provide sufficient automation value or frequency.

Options B, C, and E describe processes that are well-suited for Pega Robotics (they are repetitive, multi-application, or rules-driven).

Document References (Exact Extracts Source)

Pega Robotics Automation Design and Implementation Guide – Identifying Suitable Tasks for Automation

Pega Robotic Process Automation Studio Training Material – Process Selection and ROI Criteria

Pega Certified Robotics System Architect Study Guide – Automation Best Practices Section

Final Verified Answer: A and D

 Retrieves the assignment from the queue.

 Obtains the case data that is associated with the assignment.

 Performs the specified automation task.

 Sends the updated data, the assignment, and confirmation back to the case.

 Retrieves the next assignment from the queue.

Unattended automations (also known as Robotic Process Automation (RPA)) are designed to work without human intervention. These automations process assignments or cases that are queued by Pega Platform and retrieved by robots through the Pega Robot Manager service.

According to the Pega Robotics System Design and Implementation Guide, in the section “Unattended Automation Workflow and Queue Processing”, the following sequence defines how an unattended robot processes a work item:

“1. The robot retrieves an assignment from the work queue managed by Pega Robot Manager.

2. The robot then requests the case data associated with the assignment, which contains the necessary contextual information.

3. The robot performs the defined automation tasks within the target applications using the case data as input.

4. Upon completion, the robot updates the case, returns the assignment results, and confirms the completion to Pega Platform.

5. The robot then retrieves the next available assignment from the queue to continue processing.”

Detailed Step Reasoning:

Retrieves the assignment from the queue — The robot begins by pulling a new assignment from the Pega Platform work queue through the Robot Manager interface.

Obtains the case data that is associated with the assignment — After assignment retrieval, the robot obtains the case data (for example, customer details or transaction info) from the platform.

Performs the specified automation task — The robot executes the defined automation using the fetched data, interacting with the necessary enterprise applications.

Sends the updated data, the assignment, and confirmation back to the case — Once the task is complete, the robot posts the results and completion confirmation back to Pega Platform.

Retrieves the next assignment from the queue — The cycle repeats as the robot moves to the next queued case or assignment.

This structured loop ensures consistent, unattended case handling by robotic workers, maintaining synchronization between Pega Platform and the robotic runtime environment.

Final Correct Order:

Retrieves the assignment from the queue.

Obtains the case data that is associated with the assignment.

Performs the specified automation task.

Sends the updated data, the assignment, and confirmation back to the case.

Retrieves the next assignment from the queue.

Comprehensive and Detailed Explanation From Pega Robotics System Exact Extract:

According to the Pega Robotic Automation Asset Management and Studio Guide:

“Robotic automation assets are reusable components—such as automations, global scripts, adapters, and configuration items—that are shared across multiple robotic projects. Assets enable organizations to maintain consistency and streamline project development.”

The documentation elaborates:

• “Assets streamline the development process across the enterprise by reducing duplication of work.”

• “Shared automation assets ensure consistency of development, coding standards, and project structure across teams and projects.”

• “Assets are version-controlled and centrally stored in the Pega Robot Manager or Deployment Portal for reuse.”

It also clarifies that assets are not customizable after download because they are version-controlled and used as read-only components, ensuring enterprise-wide standardization.

Therefore:

Option A — True (Assets streamline enterprise development).

Option C — True (Assets ensure consistency across projects).

Option B — Incorrect (Assets are not designed for post-download modification).

Option D — Incorrect (Assets reduce development time, not increase it).

References (Exact Extract Source):

Pega Robotics Studio User Guide – Robotic Automation Assets and Asset Management

Pega Academy – Robotics System Architect Certification Course (Asset Sharing and Reusability)

Pega Robot Manager – Asset Lifecycle and Governance Overview

Final Verified Answer: A, C

Comprehensive and Detailed Explanation From Pega Robotics System Exact Extract:

“After adding the application method, Pega Robot Studio includes the application in the Palette. External elements are not available underneath the application, such as:

Globals

Other applications

Automations that are not scoped within the application”

In other words: when you are working within an application method under a specific application (such as BankerInsight), you cannot include items from the global scope (Globals), you cannot include items from other applications (such as Pega Finance controls belong to a different application), nor can you include automations that are not scoped to the same application (automations outside BankerInsight).

Why each option is correct/incorrect:

A. Automations that are not scoped within BankerInsight — Not available (Correct). According to the extract, “Automations that are not scoped within the application” are listed as external elements that cannot be used.

B. BankerInsight controls — Available. Controls belonging to the same application are within scope, so you can use these.

C. External data sources — The documentation snippet does not explicitly list “external data sources” as unavailable under the application method. So by the extract we cannot verify it as not available — thus we do not choose it.

D. Pega Finance controls — Not available. These belong to a different application (Pega Finance), so they fall under “Other applications” which are external to the current application and so cannot be used.

E. Globals — Not available. Explicitly listed in the documentation as external elements not available underneath the application.

If you like, I can check whether “External data sources” are allowed or not in that context and provide a more detailed explanation with additional reference pages.

(Correct Order):

Start the interrogation for the Windows application.

Interrogate the Windows form.

Navigate to the window that contains the menu.

Select the control in the control hierarchy list.

In the More menu, select Add menu items.

In the Add Menu Items dialog box, select the menu items.

Click OK to save the selection

Unlike web or text-based controls, Windows application menus (such as File, Edit, or Help) are often rendered as non-standard Windows controls that cannot be directly interrogated using the bullseye tool.

Instead, Pega Robot Studio provides a specific method to add menu items through the interrogation hierarchy.

According to the Pega Robotics System Design and Implementation Guide, section “Interrogating Menu Items in Windows Applications”:

“Menu items in Windows applications are not directly interrogated through visual selection.

Instead, the process involves interrogating the parent form, identifying the menu control in the hierarchy, and then using the ‘Add Menu Items’ option to expose individual menu commands as controls.

Steps:

Start interrogation for the Windows adapter.

Interrogate the main form that contains the menu bar.

Navigate to the window containing the menu to ensure visibility.

In the control hierarchy, select the menu bar control.

From the More menu, choose Add menu items.

In the Add Menu Items dialog box, select the menu items to expose as interrogated controls.

Click OK to confirm and save your selections.”

Detailed Step Reasoning:

Start the interrogation for the Windows application.

Launches the adapter and begins the interrogation session.

Interrogate the Windows form.

Interrogates the main form containing the menu bar control (the top-level parent for menus).

Navigate to the window that contains the menu.

Ensures the correct active window is in focus for interrogation.

Select the control in the control hierarchy list.

Identifies the menu bar or parent control within the form’s hierarchy.

In the More menu, select Add menu items.

Opens the configuration dialog for menu interrogation.

In the Add Menu Items dialog box, select the menu items.

Displays a list of all available menu items to expose as automatable elements.

Click OK to save the selection.

Finalizes interrogation and creates the selected menu items as controls in the project hierarchy.

Final Ordered Steps:

Order

Interrogation Step

1

Start the interrogation for the Windows application.

2

Interrogate the Windows form.

3

Navigate to the window that contains the menu.

4

Select the control in the control hierarchy list.

5

In the More menu, select Add menu items.

6

In the Add Menu Items dialog box, select the menu items.

7

Click OK to save the selection.

In Pega Robot Studio, when an automation (especially one invoked as a robot activity by Pega Platform) finishes execution, it must return a Completion Status. This status helps the Pega Platform determine the outcome of the automation and decide whether to continue the workflow, retry, or handle an exception.

According to the Pega Robotics System Design and Implementation Guide, section “Robot Activity Completion Status and Workflow Integration”:

“Each robotic activity returns a Completion Status to the Pega Platform after execution.

The completion status communicates the final outcome of the automation’s operation, indicating whether it successfully completed, encountered errors, or produced invalid data.

The most common statuses used are:

Complete: The automation ran successfully, and data passed all validation checks.

DidNotComplete: The automation ran to completion, but business validation failed or data was deemed invalid.

CompletedWithErrors: The automation could not complete execution due to a system or process error.”

Detailed Reasoning:

Complete

Indicates that the robotic automation successfully executed and the resulting data passed all validation checks within Pega.

This allows the Pega case flow to continue normally.

Correct Match: “If data passes business validation, the processing flow continues.”

CompletedWithErrors

Used when the automation fails to complete due to a technical issue or system error (for example, an application did not load or a connector failed).

This causes the flow to route as a failure in Pega.

Correct Match: “If the automation fails to complete, it routes as a failure.”

DidNotComplete

Indicates that the automation successfully executed technically but failed business validation, such as incorrect data, missing inputs, or business rule mismatches.

Correct Match: “If the automation completes processing, but the data fails business validation.”

Final Correct Matching Order:

Completion Status

Automation Description

Complete

If data passes business validation, the processing flow continues.

CompletedWithErrors

If the automation fails to complete, it routes as a failure.

DidNotComplete

If the automation completes processing, but the data fails business validation.

To diagnose a failure occurring on a link from a control’s Properties call to a String service’s Equals(), you must place breakpoints on the event links immediately before the failing link so you can inspect the values being passed (for example, the account number) and confirm whether a null is being propagated.

Pega Robot Studio debugging guidance:

“Breakpoints can be set on event links to pause execution at specific steps in an automation. During a paused state, developers can inspect the values on connected data ports to determine whether null or unexpected values are being passed to the next step.”

“Place breakpoints upstream of the failing event to verify the value retrieved from a control (for example, via a Properties call) before it is sent into a service method (such as Equals).”

Option A shows a breakpoint on the event path feeding the Properties block and another just before the segment that calls Equals(). This allows you to stop exactly where the input to Equals(string2) would be evaluated and verify whether it is null.

Option C also places a breakpoint directly on the event link leading into the Properties/Equals segment, which is the correct spot to pause and inspect the data value before the comparison occurs.

Options B, D, and E place breakpoints either too early (not reaching the Properties/Equals path yet) or on unrelated branches, which won’t reliably expose the null value being passed into IStringService.Equals().

Comprehensive and Detailed Explanation From Pega Robotics System Exact Extract:

According to Pega Robotics Studio – Matching and Interrogation Tools Documentation:

“Matching defines how a control is identified at runtime. When application hierarchies change or specific match rules fail, Robot Studio provides diagnostic tools to reestablish and verify the correct control associations.”

The guide specifies the following tools and their purpose:

Refresh Matching

“Refresh Matching updates the control’s properties and hierarchy information based on the current application structure without re-interrogating the control. This tool is useful when an application’s DOM or hierarchy has changed.”

Debug Matching

“Debug Matching opens the Match Rules Diagnostics window and evaluates each match rule in real-time to show which rules pass or fail. It assists in identifying which match rule must be corrected or replaced.”

By contrast:

Replace Matching – Recreates the match rules from scratch (not the preferred first step).

Replace Control – Reinterrogates the entire control and removes existing references (used only when the control is entirely invalid).

Debug Control – Analyzes properties but not matching logic.

Thus, the two correct tools to address the described issues are:

Refresh Matching (for hierarchy change)

Debug Matching (for failed rule troubleshooting)

References (Exact Extract Source):

Pega Robotics Studio – Matching Diagnostics and Interrogation Guide

Pega Robotics System Architect Training – Debugging and Refresh Matching Modules

Pega Robotics Help – Managing Match Rules in Chrome/Edge/Web Adapters

Final Verified Answer: A, C

Application discovery is an early technical validation step that involves collecting the information about applications in scope of a potential robotics use case. During discovery you need to find out application types (and if they are on applications support matrix for Pega Robotics), how they are launched, how they are used, and check accessibility and functionality of the controls through interrogation. Application discovery is necessary to ensure that robotics use case is viable and it doesn't have any technical constraints... or, if constraints exist, then what kind of workarounds will be necessary to ensure the use case is successful. The rationale for having application discovery as a best practice is that you don't want to find out half-way through coding an automation that a key control is not available or not performing the desired action.

Comprehensive and Detailed Explanation From Pega Robotics System Exact Extract:

In Pega Robot Studio, the Increase Deployment Version property in the project settings is used to automatically update the deployment version number each time the project is deployed.

This ensures version consistency across builds and deployments in environments managed by Pega Robot Manager.

According to the Pega Robotics System Design and Implementation Guide, section “Project Deployment and Version Control”:

“The Increase Deployment Version property, when set to True, automatically increments the project’s deployment version number during the deployment process.

This feature helps maintain proper version tracking and eliminates the need for manual version adjustments before deployment.”

Detailed Reasoning:

A. Environment Overrides – Used to specify environment-specific configuration overrides, not for version control.

B. Version field – Displays the current version number but does not auto-increment it.

C. Description field – Used for textual descriptions of the project only.

D. Increase Deployment Version – Correct. When set to True, it automatically adjusts the version numbering upon deployment.

(Correct Order):

Hover your pointer over the control.

Click the Gear icon.

Set the Action to Set Text.

In the Value list, select Create New.

Set the Value source to Input parameter.

In the Name field, enter the name of the input parameter.

Click Submit to save the input parameter.

Click Save to save the step.

Targeted Step Creation is a Pega Robot Studio feature used to record automation steps directly by interacting with an interrogated control (for example, typing into a textbox). When the automation being recorded needs to receive data from another automation, an input parameter is configured as the value source for the recorded step.

According to the Pega Robotics System Design and Implementation Guide, section “Recording Steps and Configuring Input Parameters”:

“When recording a targeted step for an input control:

Hover over the target control and select the Gear icon to open the recording configuration.

Choose the appropriate action (for example, Set Text for text boxes).

Create a new value reference and select Input parameter as the value source.

Assign a name to the input parameter that will be passed from the calling automation.

Submit and save the step to finalize the recording.”

Detailed Step Reasoning:

Hover your pointer over the control.

This initializes the control recognition in targeted step creation mode.

Click the Gear icon.

Opens the step configuration dialog for the selected control.

Set the Action to Set Text.

Defines the intended action for the control (entering text).

In the Value list, select Create New.

Creates a new value definition to assign data to the control.

Set the Value source to Input parameter.

Ensures that the value for the text input will come from an external automation that invokes this one.

In the Name field, enter the name of the input parameter.

Defines the name of the input variable so that it can be referenced when calling this automation.

Click Submit to save the input parameter.

Confirms and stores the parameter definition.

Click Save to save the step.

Finalizes the recorded step in the automation sequence.

Final Ordered Steps:

Hover your pointer over the control.

Click the Gear icon.

Set the Action to Set Text.

In the Value list, select Create New.

Set the Value source to Input parameter.

In the Name field, enter the name of the input parameter.

Click Submit to save the input parameter.

Click Save to save the step.

Comprehensive and Detailed Explanation From Pega Robotics System Exact Extract:

Automatic Step Creation is a Pega Robot Studio feature that allows developers to automatically generate automation steps based on actions performed in an interrogated application. It leverages X-ray Vision for supported applications to intelligently detect UI elements and generate corresponding steps without requiring manual drag-and-drop logic creation.

According to the Pega Robotics System Design and Implementation Guide, section “Using Automatic Step Creation and X-ray Vision”:

“Automatic Step Creation simplifies automation building by detecting user interactions in X-ray Vision–supported applications and automatically adding the equivalent automation steps to the design surface.

A blue gear icon indicates that automatic step creation is active and available.

Automatic step creation works with previously interrogated application controls.

The feature is automatically available for applications that X-ray Vision supports.

For applications not supported by X-ray Vision, developers must manually create steps using traditional interrogation.”

Detailed Reasoning:

B. Displays a blue Gear icon.

Correct. When automatic step creation is active, the blue gear icon indicates the feature is enabled and ready to record actions.

D. Available for previously interrogated application controls.

Correct. Automatic step creation can only generate steps for controls that have already been interrogated, ensuring proper mapping between actions and UI elements.

E. Automatically available for applications that X-ray Vision supports.

Correct. The feature activates automatically in X-ray Vision–supported applications, which include modern UI frameworks like HTML5 and WPF.

Incorrect Options:

A. Automatically used for applications that X-ray Vision does not support.

Incorrect. It only works for applications supported by X-ray Vision.

C. Usable at any time by clicking the Gear icon.

Incorrect. The gear icon appears only when automatic step creation is available, not universally across all projects.

Final Correct Answer: B, D, E