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IBM Cognos Real-time Monitoring Developer Sample Questions:

1. A user wants to monitor operational data being published to an external WebSphere MQ server using Real-timeMonitoring (RTM).Which three steps are required to access the operational data as a data stream in RTM? (Choose three.)

A) Configurea JMS agent and a JMS data stream in RTM Workbench.
B) Download a preconfigured MDB from the RTM install CD.
C) Deploy an MDB on the application server where RTM is running, listening to the local message queue.
D) Deploy an MDB on the application server where WebSphere MQ is running, listening to its message queue.
E) Build a Message Driven Bean (MDB) with appropriate settings using an appropriate build tool (like ant).

2. Which two statements about perspectives in the Real-time Monitoring dashboard are true? (Choose two.)

A) They can be passed from a dashboard onto a dashboard object's detailed view.
B) They can be used to display a collection of filters on a dashboard.
C) They can be changed from being publicly owned to private.
D) They can be applied directly onto a dashboard object from its detailed view.

3. Since electric delivery companies are required to maintain line frequency within a very narrow tolerance (< 0.1%) and to rapidly implement corrective action to repair out-ofbounds conditions, Real-time Monitoring (RTM) has been deployed to monitor line frequency measurements that are retrieved from key power distribution points every second. Which two metrics are appropriate for an RTM dashboard object where the data is refreshed every five seconds? (Choose two.)

A) a bar chart showing the overall average line frequency value for each of the power distribution sites over the last 24 hour period
B) a bar chart showing the number of individual line frequency measurements that exceeded the defined tolerance grouped into 15 minute intervals for the last 24 hours
C) aline chart showing the line frequency measurements for a second compared to the expected value for the last minute for each distribution site
D) a table showing all of the line frequency measurements for each power distribution point for the last 30 days

4. A store-front manager wants to create a dimension filter on a dashboard object that is based on a cube containing data relevant to multiple stores. The filtered results should only show data that has been aggregated since the startof the manager's shift for the manager's store only. The cube includes two dimensions: Time and Stores. The Time dimension is growing every hour of every day of every month of every year. The Stores dimension contains stores by ID and their geographic location. How should this filter be created?

A) Check the Stores dimension at the root level; find and check all the hours in Time since the start of the manager's shift along with the related "others" box.
B) Check the Stores dimension at the root level; find and check all the hours in Time since the start of the manager's shift and leave the related "others" box unchecked.
C) Find and check the manager's store ID inStores; find and check all the hours in Time since the start of the manager's shift and leave the related "others" box unchecked.
D) Find and check the manager's store ID in Stores; find and check all the hours in Time since the start of the manager's shift along with the related "others" box.

5. A virtual machine farm technician is monitoring the memory usage of hundreds of virtual
machines in the farm. The technician previously defined a rule to be informed with an immediate notification if the memory usage on any virtual machine remains above 90 percent for two minutes. The technician now wants toreset the alert once the memory usage stabilizes and falls below 80 percent after such an incident. Which three steps are part of the solution? (Choose three.)

A) Specify "Maintain alert states for".
B) Create a new alert and select "Reset an alert".
C) Select the alert defined for "memory usage > 90%" and choose "Reset an alert for a specific occurrence".
D) Define a rule with condition -- memory usage < 90%.
E) Define a rule with condition --memory usage < 80%.

Solutions: