Which two statements are true about insights? (Choose Two)
Insights in Pega are tools for data visualization and analysis, providing specific capabilities:
A . Insights transform data queries into sharable visualizations. Insights enable users to create visual representations from data queries, making complex data more accessible and easier to understand through charts, graphs, and other visual formats.
D . You can use only preconfigured fields in an insight. Insights are built using specific, predefined fields available within Pega, which limits customization but ensures consistency and reliability in the data presented.
A moving company provides customers with a tool that recommends a moving vehicle based on the number of bedrooms in their current living space and whether they are planning to move heavy furniture like bed frames, mattresses, or couches. Based on the customer inputs, a decision table presents the customer with a recommendation.
Which two configurations do you use together to build the decision table? (Choose Two)
To construct a decision table for recommending a moving vehicle based on the number of bedrooms in the customer's current living space and whether heavy furniture is being moved, the decision table needs to account for these input parameters and provide a corresponding recommendation.
A . Create a column for the recommended moving vehicle: This column will hold the output of the decision table, which is the type of moving vehicle recommended based on the input criteria. This setup allows for a clear and direct presentation of the recommendation to the customer.
D . Create two columns, one for the number of bedrooms and one for whether the customer is moving heavy furniture: These columns will serve as the input conditions for the decision table. By evaluating the values in these columns, the decision table can determine the appropriate moving vehicle recommendation for each unique set of circumstances.
Creating rows for the recommended moving vehicle (B) would not follow the conventional structure of a decision table, where rows typically represent different rule conditions or scenarios rather than outcomes. Creating two rows, one for each input condition (C), misunderstands the structure of decision tables, where conditions are represented as columns and individual scenarios or rule conditions are represented as rows.
A disrupted transaction case records account information using a page property. Account information is recorded at the time the case is created and does not update when the case is further processed. Account information is stored in an external system and accessed by a data page.
How do you configure the account information page?
For a scenario where account information is recorded at the time the case is created and does not update when the case is further processed, while also being stored in an external system and accessed by a data page, the appropriate configuration is:
D . Select copy from a data page on the page property: This configuration ensures that when the case is created, the account information is fetched from the external system via the data page and then copied to the page property on the case. This copy is static and remains unchanged regardless of any updates to the external system or the data page after the case creation. This approach meets the requirement of capturing account information at case creation that remains constant throughout the case lifecycle.
Option A, B, and C involve referencing the data page directly in various ways, which would not fulfill the requirement for the account information to remain static after the case is created, as any updates to the data page would be reflected in the case.
A data page holds product information and has the Reload if Older Than field set to 30 minutes. The data page is created at 7:43. The user then performs the following actions: 8:10 the user refreshes the product information 8:45 the user refreshes the product information At what time is the data page reloaded?
Given a data page set to reload if older than 30 minutes, understanding the timing for when the data page is reloaded is essential for ensuring that users have the most current information. The data page is created at 7:43. Based on the Reload if Older Than setting, it will reload if accessed after 30 minutes from its creation or the last reload.
C . 8:40: The data page would be reloaded at 8:40 because this is the next access time that falls outside the 30-minute validity period established from the data page's last known load time or creation. Although the user refreshes the product information at 8:10 and 8:45, the key moment for reload based on the given timeline and settings would be 8:40, which is 30 minutes after the 8:10 refresh, not 8:45 since that's the time of access, not reload.
The options 8:13 (A) and 8:10 (B) are too soon for a reload based on the initial creation time and do not account for the 30-minute refresh policy correctly. Option D (8:45) represents a time of user action, not the actual reload based on the described criteria.
A report contains columns for Customer, Billing Cycle, Credit Card, and Expiration Date. A manager requests that the report show only those customers who meet the following conditions: - The customer is on a monthly billing cycle - The credit card is either MoreCash or Vista - The credit card expires within 60 days Which set of filtering conditions returns a report with the desired data?
To fulfill the manager's request for a report showing only customers who are on a monthly billing cycle, use a MoreCash or Vista credit card, and whose credit card expires within 60 days, the filtering conditions need to precisely combine these criteria.
B . Credit Card equals MoreCash OR Credit Card equals Vista AND Billing Cycle equals monthly AND Expiration Date equals next 60 days: This set of conditions accurately captures the required filters. The use of 'OR' between the Credit Card conditions allows for the inclusion of customers with either MoreCash or Vista credit cards. The 'AND' conjunction with Billing Cycle equals monthly ensures that only those on a monthly billing cycle are included. Lastly, specifying that the Expiration Date equals the next 60 days filters for credit cards expiring within the specified timeframe. This combination of conditions ensures the report displays precisely the desired data.
Option A incorrectly uses 'AND' for credit card types, which is logically impossible since a credit card cannot be both types simultaneously. Option C inaccurately suggests using a condition on the billing cycle that is not aligned with the requirement and incorrectly frames the expiration date condition. Option D simplifies the conditions but lacks the precise logical structure provided in option B, potentially leading to confusion or incorrect implementation.
Belen
12 days agoJannette
20 days agoJulio
27 days agoNoe
1 months agoGeraldo
2 months agoEmmett
2 months agoMicheal
3 months agoTwana
3 months agoSkye
4 months agoKasandra
4 months agoFernanda
4 months agoRonald
5 months agoJimmie
5 months agoLarae
5 months agoMadalyn
6 months agoLucille
6 months agoDorcas
6 months agoYoulanda
6 months agoKenny
7 months agoRosendo
7 months agoMaricela
7 months agoKeva
7 months agoKrystina
8 months agoElenore
8 months agoDominque
8 months agoArlen
8 months agoGerman
8 months agoShaun
9 months agoGilma
9 months agoMabel
9 months agoRoslyn
9 months agoNydia
9 months agoHorace
10 months agoBuck
10 months agoLeonor
10 months agoAnnalee
10 months agoJerrod
10 months agoRolland
11 months agoNickolas
11 months agoReita
11 months agoBeata
1 years agoViva
1 years agoCrista
1 years agoGianna
1 years agoEttie
1 years agoJudy
1 years agoLuann
1 years ago