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[Pega Platform Architecture]

A multinational financial institution is contemplating the deployment of a high-availability architecture for its online banking platform to guarantee seamless service for its clientele. The institution acknowledges the potential financial repercussions and reputational harm linked with application downtime. Which principle should the institution prioritize in the design of its high-availability system to mitigate the risk of a single point of failure?

AApply regular data backups by scheduling the job scheduler that runs every five minutes on each node.

BAvoid common cause failures by establishing a single administrative access group for all Pega implementations.

CImplement reliable failover to ensure service continuity by enabling the system to transition from a failed node to a backup node without data loss.

DEnsure the detectability of failures by consistently using application health monitoring tools.

Question 2

[Application Design]

What is the best approach for implementing limited-availability-and-concurrency design patterns?

AManage the limited resources by using the lock on the instance (data or case); once locked, Pega Platform automatically manages the concurrency.

BUse a data instance approach to represent each incoming request for consuming limited available resources. Handle requests with flags to manage resource locks and availability. Processing techniques in Pega Platform manage concurrency.

CCreate a case instance for each request that represents consuming limited available resources. Case management features in Pega Platform automatically manage locks and concurrency.

DCircumstance the rule resolution algorithm to fit the requirements of the business use case; Pega Platform automatically manages the limited availability and concurrency.

Question 3

[Integration]

Every day at 1 AM, all the ATM transactions at ABC Bank from the previous day are shared with the head office of the bank. All ATM machines perform this data sharing. ABC Bank uses this information to validate transactions and balance all the ledgers. If any discrepancy is identified, a dispute resolution flow initiates to investigate the root cause and resolve the dispute. ABC Bank has 1 million ATMs for which transactions need to be analyzed for discrepancies. Which one of the following is the optimal solution for gathering the transaction information from all the ATMs?

AThe ATM machines generate an Excel file of all the transactions and place it in a NAS directory. Pega workflow processes the files using an Advanced agent.

BThe ATM machines generate an Excel file of all the transactions and place it in a NAS directory. Pega workflow processes the files using a Queue Processor.

CThe ATM machines generate an Excel file of all the transactions and place it in a NAS directory. Pega workflow processes the files using a Job Scheduler.

DThe ATM machines generate an Excel file of all the transactions and place it in a NAS directory. Pega workflow processes the files using a Data Set of type File, and feeds the files into a Data Flow.

Question 4

[Pega Platform Architecture]

You are a Pega developer working on a large-scale application. You need to manage different settings that control the behavior of your application. These settings need to be easily configurable by production users, should be able to vary between different environments, and should be packaged with the application when it is migrated. Which Pega feature is the most appropriate to use in this scenario?

AConfiguration Sets

BDynamic System Settings

CRule System Settings

DApplication Settings

Question 5

[Reporting Design]

In a retail inventory management application, the system captures and stores product sales data in the backend database to manage inventory levels effectively. The organization requires a comprehensive report to analyze product sales trends over the past 5 years, including details on which products sold the most and least, and their corresponding profit margins. As a Lead System Architect, which well-designed solution do you suggest for implementing this requirement?

ASegment the product-related data into a CustomerData schema and sales workflow data into the PegaDATA schema within the database. Utilize Business Intelligence Exchange rules to extract this data daily, then store it in a dedicated data warehouse for analysis with specialized Business Intelligence tools.

BPartition the product-related data in the CustomerData schema and the sales workflow data in the PegaDATA schema within the database. Provide access to these schemas for specialized Business Intelligence tools to directly query and analyze the data.

CStore both product-related data and sales workflow data in the PegaDATA schema within the database. Use Business Intelligence Exchange rules to extract this data daily and transfer it to a designated data warehouse for analysis with specialized Business Intelligence tools.

DCentralize both product-related data and sales workflow data in the CustomerDataschema within the database, optimizing the necessary properties for efficient querying. Grant access to this schema to specialized Business Intelligence tools to perform in-depth analysis.

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