PEGACPSA23V1 Pegasystems Certified Pega System Architect Free Practice Exam Questions (2025 Updated)

In scenarios involving a large dataset, such as a database of over 10,000 book titles, the most efficient way to allow users to find and select an item is by using an autocomplete control. This approach enhances user experience by filtering options based on user input, making it easier to navigate through large lists of data.

Why not a drop-down? A drop-down control (Options A and B) would not be practical for such a large number of items because it would require loading all items at once, which can lead to performance issues and a poor user experience.

Why an autocomplete control? The autocomplete control (Option C) is designed for scenarios like this. It allows the user to begin typing the name of a book, and the control suggests matching titles based on the input, narrowing down the options dynamically. This approach is much more user-friendly and efficient for large datasets.

Why sourced from a data page? Sourcing the autocomplete control from a data page (Option C) is the best practice because it allows for the efficient loading and caching of data. Data pages can be configured to refresh at appropriate intervals or under specific conditions, ensuring that the data is up-to-date. Furthermore, using a data page abstracts the data source from the control, making the application easier to maintain and update.

This setup ensures a smooth and efficient user experience, allowing for quick and easy selection from a vast database of book titles

For selecting one severity option from a predefined set, radio buttons are the best choice. This control allows users to see all available options and select exactly one, ensuring clear and error-free selection. Unlike checkboxes, which are suitable for selecting multiple options, radio buttons inherently prevent multiple selections, which is ideal for severity levels where only one should be applicable at any given time.

In situations where a flow action calls a pre-processing data transform to initiate values and there are several flow actions available for the assignment, ensuring that values are only initiated once for each flow action requires a strategic approach:

D. Add logic to the pre-processing data transform to test if values were already initiated: This solution involves incorporating a check within the data transform itself to determine whether the initiation of values has already occurred. If the check

For an online shopping application, ensuring accurate item pricing and total cost calculations in the shopping cart is crucial for functionality and user trust. Unit testing focused on verifying these aspects is essential during development.

A. Verify the data page has the correct item prices: This test ensures that the prices pulled from the external inventory management system into the application via the data page are accurate. Correct item pricing is foundational to calculating the total cost for items in the shopping cart.

D. Verify the order total cost property is accurately calculated: This test checks whether the application correctly calculates the total cost of all items in the shopping cart, considering both the individual item prices and their quantities. Accurate total cost calculation is crucial for the final order summary and checkout process.

Verifying the data transform copies the correct value (B) is important for data integrity but is a more granular detail compared to the overarching need to ensure accurate pricing and total calculations. Verifying the price fields are displayed in the correct format (C) is also significant but focuses more on UI presentation than on the underlying functional correctness of pricing and total cost calculations.

To analyze the calculation of a value in a read-only field within a Pega process, particularly when a declare expression might be involved:

A. Declarative network. This tool provides a visualization and management interface for declarative rules like declare expressions, allowing developers to understand and trace how values are calculated and propagated through the application.

For an internet provider's quiz designed to recommend internet speeds based on varying customer usage profiles, including differentiating between residential and business needs, employing a decision mechanism that efficiently handles multiple input factors is key.

A. Configure a decision table: Decision tables are ideal for scenarios where the output (recommended internet speed) depends on multiple conditions (quiz answers about internet use). They offer a clear, concise way to map various combinations of inputs to their corresponding outputs, making it easy to update and manage as new conditions or outcomes are introduced. This configuration supports dynamic and nuanced decision-making based on customer responses.

Configuring a view with quiz questions (B) is necessary for collecting inputs but does not determine the outcome. A decision tree (C) could also be used but might become complex with multiple branching conditions. A process with multiple decision shapes (D) could handle the logic but may be less efficient and harder to maintain than a decision table.

Styling controls in App Studio allows developers to modify the appearance and behavior of UI components:

A. Developers can configure a Date Time control to display as a text input field, drop-down list, or calendar control. This flexibility allows the Date Time control to be tailored to meet the specific needs of the application and enhance user interaction.

D. Developers create a new style format to apply styling to an out-of-the-box button control. This capability enables developers to define custom styles for standard controls, allowing for consistent branding and user experience across the application.

For the requirement where an auditor needs to receive an email notification if the refund is greater than twice the price of the item, it's important to select a participant role that accurately reflects the auditor's involvement in the case.

B. Interested individual: This role is designed to represent parties who need to be informed about certain events or milestones within a case but are not directly responsible for actioning the case. In this scenario, the auditor's role is to be notified under specific conditions for oversight purposes, making "Interested individual" the appropriate choice. This setup allows the application to send targeted notifications to the auditor without assigning them case responsibilities that are not part of their role.

The other options, such as Customer (Option A), Owner (Option C), and Work queue (Option D), do not accurately represent the auditor's role in relation to the specific notification requirement.

When diagnosing an issue with a calculated property value using the Tracer tool:

B. Breakpoints. This feature allows you to pause the execution at certain points, enabling you to inspect the processing of the rules and properties, which is helpful in identifying where and why a property is not calculating as expected.

C. The Watch function. By watching specific properties, you can monitor changes to their values in real time as the process executes, which helps in determining the point at which the unexpected result occurs, all with minimal overhead on application performance.

Data transforms in Pega are primarily used for setting property values and manipulating data as it moves from one context to another, which makes them ideal for tasks such as converting data types (e.g., from integer to text) and copying data from existing entities to create new instances (e.g., copying order details to a new case). Data transforms provide a powerful way to define how data should be processed and altered during the lifecycle of a case or data flow.

In Pega, enabling field-level auditing for properties is typically done through the property rule form. By enabling the auditing feature on specific property rule forms, changes to those properties are automatically tracked and recorded by the system. This setup is essential for compliance, transparency, and historical data analysis purposes, allowing organizations to monitor and audit changes to critical data fields systematically.

To ensure data validity within Pega applications, it is crucial that data meets specific criteria:

A. The data fits the business logic. Ensuring that data conforms to defined business rules and logic is vital for maintaining the integrity of processes and decisions based on this data. Valid data must align with the operational and decision-making frameworks of the business.

D. The data is the correct type. Data type validation is fundamental to ensuring that the system functions correctly and that data processing errors are minimized. For example, ensuring a field expecting a date does not receive alphanumeric text.

Attributes of application level security typically involve measures that protect the application's data and features according to defined security policies:

A. Create password and authentication policies. Application security includes establishing robust password policies and authentication mechanisms to ensure that only authorized users gain access to the application.

D. Prevent users from viewing features that they should not access. Application level security also involves configuring permissions and access control to ensure that users can only interact with features and data they are authorized to use, thereby protecting sensitive information and maintaining the integrity of the application.

To guide users through an application form effectively without requiring formal training, adding instructions directly to the assignment is the most direct and effective method. This approach allows specific guidance to be provided at the point of interaction, where users are making decisions or entering data. Instructions can include context-specific tips, examples of expected input, or clarifications on the task requirements. This ensures that users understand exactly what is needed at each step, facilitating smoother and more accurate completion of forms.

To dynamically calculate remaining vacation and sick time after timesheet submission:

B. Use declarative processing. Whenever the vacation time or sick time entries change, the remaining vacation and sick time calculate. This configuration utilizes Pega’s declarative processing capabilities to ensure that changes in vacation or sick time are immediately reflected in the calculations of remaining balances, keeping the employee’s leave records up to date automatically.

A data element in Pega is essentially defined by two key components:

B. The name of the data element. This is the identifier for the data element, which allows it to be referenced and manipulated within processes and data structures.

D. The value of the data element. This represents the actual data stored within the element, which can be any piece of information relevant to the application processes, such as a user input, system-generated data, or data retrieved from external sources.

When encountering errors during business process testing and needing to diagnose rule execution issues:

A. The Tracer. This tool is essential for debugging and testing in Pega, as it allows developers to step through the execution of rules to identify and resolve errors, offering a real-time trace of rule processing, which helps pinpoint the source of errors in process execution.

For a job application case type requiring both a physical assessment and a criminal background check, where the sequence of these checks can vary:

B. Create a process for the physical assessment that is parallel to the background check process. Configuring these processes to run in parallel allows both assessments to occur independently and in any order, as required by the case. This setup effectively manages variability in process sequencing without imposing a fixed order, thereby accommodating the specified flexibility in the application process.

For ABC BankCorp's mobile app experience related to the Transaction Dispute application, certain requirements necessitate configuring distinct mobile app channels to accommodate different functionalities or visual designs for users and CSRs.

A. CSRs can create other case type instances on the mobile app: This functionality difference between what CSRs and users can do within the app indicates the need for separate app channels. The ability of CSRs to handle additional case types beyond what is available to general users requires a distinct channel configuration to support the specialized functionalities needed by CSRs.

B. Mobile app color palettes are different for users and CSRs: The requirement for different color palettes for users and CSRs pertains to the app's visual design and branding. To ensure that each group experiences the app with the intended branding elements, separate app channels are required to implement the distinct color palettes and themes.

Customizing currency units and date/time format according to the user's location (C) can typically be achieved within a single app channel through localization settings and does not inherently necessitate separate channels. Supporting all mobile phone operating systems (D) is a compatibility requirement that is also not a determining factor for creating distinct channels but rather relates to the app's development and testing across platforms.