Certified Pega Business Architect Free Sample Questions

Configure a global Knowledge Buddy that indexes all client documents and relies on the agent's Pega Access Group to filter the search results at query time.

Define specific data access policies within the Knowledge Buddy configuration that align with the Row-Level Security defined in the Pega database.

Implement a Client-Specific Context configuration where Knowledge Buddy is passed the specific Case context (Client ID) during the query, restricting the knowledge retrieval to the relevant client's data partition.

Use Pega GenAI Autopilot to summarize the client's data into a temporary clipboard page and direct Knowledge Buddy to answer solely from that clipboard page.

Generate the application immediately, then use App Studio to add the external data source and map it to the persona.

Modify the Blueprint directly in the Blueprint interface to add the Data Object and associate it with the Case Type, then regenerate the Blueprint preview before importing.

Manually edit the XML file exported from Pega Blueprint to include the external database connection string.

Use Pega GenAI Autopilot in Dev Studio to predict the necessary integration points based on the persona description.

Autopilot can automatically deploy the application to the QA environment and run regression tests.

Autopilot can analyze the Data Object structure and generate realistic sample records to populate the local data storage.

Autopilot can connect to the production database and copy anonymized records to the development environment.

Autopilot can generate a PDF report of all data relationships but cannot create actual data records.

Create a Data Transform that calls an external REST connector directly.

Configure a Connect Generative AI rule to define the prompt and model parameters.

Use a Decision Table to map manifest text to pre-written summaries.

Implement a robotic automation (RPA) to copy text to a public AI website.

GenAI Agents can autonomously execute Tool Rules to perform actions like updating a case or retrieving data.

GenAI Agents replace the need for all human approval steps in a Case Lifecycle.

GenAI Agents operate solely within the Pega database and cannot interact with external APIs.

GenAI Agents require a structured definition of 'Tools' that expose Pega Platform capabilities to the Large Language Model.

GenAI Agents are primarily used for static reporting and do not participate in case processing.

Configure the Goal interval to 24 hours and add an Escalation Action to increase urgency.

Configure the Deadline interval to 48 hours and add an Escalation Action to Reassign the assignment.

Configure the Passed Deadline interval to 24 hours and use a Data Transform to change the owner.

Use a Wait shape in the flow to pause for 48 hours and then route to the manager.

Route Tier 1 to 'Current User' and Tier 2 to 'Specific User'.

Route Tier 1 to the 'General Support' Work Queue and Tier 2 to the 'Technical Support' Work Queue.

Route Tier 1 to the 'General Support' Work Group and Tier 2 to the 'Technical Support' Work Group.

Route Tier 1 using 'Business Logic' to a random user and Tier 2 to a 'Work Queue'.

Create a separate Case Type for Digital Orders.

Configure a 'Skip Step' condition on the 'Pack Items' step: .OrderType = 'Digital'.

Use an Optional Action to manually skip the step at runtime.

Place the 'Pack Items' step in a parallel process that is never triggered.

The weighted conditions that determine the similarity score.

The basic conditions that must be met before calculating the weight.

The availability of the 'Resolve' stage in the lifecycle.

The user's Access Group permissions.

The version of the Pega Platform.

Add a 'Update Passport' step to every process in the stage.

Configure 'Update Passport' as a Stage-only Optional Action.

Create a Child Case for Passport Updates.

Use a Wait Step to listen for passport updates.