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IBM Cognos Real-time Monitoring Developer Sample Questions:

1. A requirement for a Real-time Monitoring dashboard application is to color a cell in the data grid when sales revenue for a specific product is below the target value. The conditional format must be visible for a manager and the employees. How would you do this?

A) Create a watch point where the threshold is a numeric value and when the rule condition is set to "Notify me every time the condition met".
B) Create a watch point where the threshold is a percentage of the target value(s) and when the rule condition is set to "Apply this condition to all users".
C) Create a watch point where the threshold is a numeric value and when the rule condition is set to "Notify me only when new data causes the condition to be met when it was not met prior to that data".
D) Create a watch point where the threshold is a numeric value and when the rule condition is set to "Apply this condition to all users".

2. A data stream uses a query that returns a data set that contains the following fields: Order_id -- a unique row ID Num_Ordered -- the quantity of items contained in the orders Order_Timestamp -- time that the order was placed in the source systemA view containing a column measure named Order_Count is defined to be "mov_count(Order_ID, HOUR, 3, Order_Timestamp)" is created using this data stream. Which records from the data stream result set will be included in the Order_Count calculation?

A) order records processed within three hours of the current system time
B) order records processed where the Order_Timestamp of the record is within three hours of the current system time
C) order records processed where the Order_Timestamp of the record is within three hours of the most recent Order_Timestamp record in the view
D) order records processed where the Order Timestamp of the record is within three hours of the current system time for any order record in the view

3. A user is complaining that the Real-time Monitoring objects on their BusinessInsight dashboard appear to have data that is more than 15 minutes old. What are two possible causes for this problem? (Choose two.)

A) The dashboard refresh interval is too high.
B) The lookup table invalidation cache is too frequent.
C) The polling interval ofthe source JDBC data stream is too infrequent.
D) The widget refresh interval is too high.

4. Aretail customer wants to monitor inventory shortages using the Real-time Monitoring application. They would like to be notified by e-mail when any particular item is below a predefined threshold. Since replenishment occurs weekly, they do not want to be notified again until the inventory has been restocked. Which two actions accomplish this goal? (Choose two.)

A) Create a fire rule with "do not notify" set to seven days.
B) Create a "raise" rule which will send an alert message.
C) Create a "notify me once" rule which automatically resets weekly.
D) Create a rule which resets a previously raised alert.

5. A retail customer must be able to analyze sales of various products as they happen. Users will view metrics for the number of units soldevery five minutes by region, by product type, and by time increment. At times, the users will need to drill into a specific five minute time increment to see all the details of each transaction that makes up the unit count (for a specific region/type). Transactions are populated into five distinct regional databases from the retail outlets. Regarding Real-time Monitoring, which statement is correct?

A) RTM can provide all the requirements, but would require a centralized data store of all transaction-level detail.
B) RTM can provide all the requirements except the aggregation of data from the five sources.
C) RTM can aggregate unit counts across the various dimensions, but not provide the detailed transactions when drilled upon.
D) RTM can provide all the requirements without any new infrastructure.

Solutions: