Users in a cloud-based production application report a chronic performance issue that occurs every day between 2:0 P.M. and 4:00 P.M. All attempts to reproduce the problem in the Development, QA, and Staging environments have (ailed.
Which two techniques help you troubleshoot the problem? (Choose Two)

• A. Review Performance Alerts and Exceptions in AES.
• B. Review Performance Alerts and Exceptions in PDC
• C. Review a Production Tracer Log using SMA-
• D. Review Alerts and Exceptions using PLA.

BigCo receives complaints from existing customers and new prospects that BiyCo repi irrelevant offers and products.
Which two Pega solutions do you suggest to help solve this problem? (Choose Two)

• A. Pega Customer Service
• B. Pega Marketing
• C. Robotic Process Automation
• D. Customer Decision Hub

Table a contains customer information. Table B contains complaints submitted by customers. Table C contains positive feedback submitted by customer.
You are tasked to write a report that list all rows in Table A where, per customer, the number of rows in Table B related to Table A are greater than the number of rows in Table C related to table A.
Which method creates the report that executes with the best performance?

• A. Join table A to Table B and C using include all rows in this class. Count the Join column from both Table B and Table C. Only include rows where the first count is greater than the second.
• B. Join table A to Table B and C using include all rows in join class. Count the Join column from both Table B and Table C. Only include rows where the first count is greater than the second.
• C. Define two subreports, one where table B users ''Do not Join'', and one where Table C users ''Do not Join'', In the main report count the rows from each subpreport, then only include rows where the count from the Table B subreport than the count from the Table C subreport.
• D. Define two subreports: one that counts rows in Table B relative to Table A, and on that counts the rows in table C relative to Table A. Only include rows in the main. Report against table A where the table B count is greater that the Table C count.

A Pega application locally stores the same set of codes defined by and used within an external system of record. The Page application does not locally store the labels associated to these codes. During case processing, the displayed labels for this set of codes are sourced from the external system of record. On any given day, the label associated to a code may change. You are asked to implement a report definition that displays the current label associated to each code whenever the report is run.
How do you design a Pega application to meet this requirement?

• A. Display report definition rows using a custom section. Use a Keyed-access Data Page to source label values.
• B. Query the distinct codes that the report would display. Develop an interface to retrieve the associated labels In bulk.
• C. Persist the most recently retrieved labels for each code in a local table. Join to that table when running the report.
• D. Develop a SQL function that calls a stored procedure to retrieve the currently associated level for each code.