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IBM Cognos Real-time Monitoring Developer Sample Questions:

1. A data stream is set up on a JMS queue that typically receives data with up to 15 minutes between messages.
The requirement is that the dashboard only show the current day's data, being cleared completely at 1:00.
The users do not want to see an empty dashboard. Before the first event on the next day, the dashboard object should show the previous day's data. What should be configured to produce the desired results?

A) Clear state when data arrives after 1:00.
B) Clear state when data arrives after 1:15.
C) Clear state at 1:01.
D) Clear state at 1:00.

2. A telecommunications customer must provide their executive management with dailyupdates on customer satisfaction metrics based on survey data. They want to monitor satisfaction ratings of call center queries, delivery times, and product dependability by geography. Survey data is summarized into a data warehouse once per day with master data in lookup tables refreshed weekly. Which aspect of this scenario would limit proposing Real-time Monitoring (RTM) as a part of the solution?

A) RTM cannot access lookup table information dynamically.
B) RTM is best used for more frequently updating data metrics.
C) RTM would require an LDAP server for securitymanagement.
D) RTM cannot access data from a data warehouse.

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) aline chart showing the line frequency measurements for a second compared to the expected value for the last minute for each distribution site
C) a table showing all of the line frequency measurements for each power distribution point for the last 30 days
D) 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

4. A user wants to build a dashboard for an operations manager who wants to monitor the number of unsatisfied customer calls which were not resolved by thecall center representative and had to be escalated. The operations manager wants to monitor this over five minute intervals, over one day, and compare them with a similar trend over the last ten years. Daily transactional data is stored in a database, andis loaded into a data warehouse nightly for historical analysis and purged weekly. Which two actions achieve this using the Cognos suite of products? (Choose two.)

A) Use Business Intelligence to model a 10-year trend chart based on the data warehouse and RTM to model a five minute trend chart based on the database and display them together in the Business Insight workspace.
B) Use RTM to model both a five minute and a 10-year trend chart using the temporal windows functionality based on the database data for data streams and the data warehouse for a lookup table.
C) Use Real-time Monitoring (RTM) to model both a five minute and a 10-year trend chart using the temporal windows functionality based on the database data only.
D) Use Business Intelligence to model both the 10-year trending and the five-minute trend chart based on the data warehouse and display them in the Business Insight workspace.

5. 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 most recent Order_Timestamp record in the view
C) 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
D) order records processed where the Order_Timestamp of the record is within three hours of the current system time

Solutions: