A company wants to use ODM for asynchronous processing with large payloads and very strict performance guidelines. They want to keep data extraction and execution close to reduce any latency effects. They also need ODM to scale as they might want to execute rules from several different applications concurrently. What execution implementation fits these requirements?
A decision operation can be defined for a decision service in the Rule Designer. What can be selected in the process of creating a decision operation?
GoodCreditLoans is a financial company that wants to create an automated loan approval application. They currently have an application that uses hard-coded logic and manual checks to assess loan applications, generate payment reminders, send marketing emails to potential clients, and create monthly sales reports. The existing application uses these entities: MarketingContact, Equipment, Loan, Reminder, Applicant, SalesReport.
Here are some example rules harvested during rule discovery for the new automated loan approval application:
What two entities are needed to write the loan approval business rules? (Choose two.)
A customer has an online and batch processing application. The batch process can be executed multiple times during the day on demand and can overlap the online application. RuleApps and rulesets are the same across online and batch. The batch application also manages big batches with high throughput.
How can this application be architected to address these requirements?
A rule task in a ruleflow contains multiple rules and all the rules in this task need to be evaluated. Which Exit Criteria should be chosen?
ODM V8.9.1 is being installed on several nodes in silent mode by using a response file. What needs to be included in the response file during installation?
A developer is working with a mainframe legacy application. How can they build the execution object model (XOM) with the information from this application?