IBM C2020-615 : IBM Cognos Real-time Monitoring Developer

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IBM C2020-615 Exam Syllabus Topics:

IBM Cognos Real-time Monitoring Developer Sample Questions:

1. 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 and leave the related "others" box unchecked.
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 along with the related "others" box.
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.

2. A customer wants to build a real-time application where streaming data mustbe pushed into
Real-time Monitoring as it changes. Which two agent types accomplish this? (Choose two.)

A) JMS
B) Web Services
C) ERP
D) JDBC

3. An event stream consists of a data stream, a view, and a cube. After each record in the event is processed and updates are applied to the aggregate measures in the cube, what happens to the record andevent information?

A) A complete history of each record and the processing event it was associated with is maintained.
B) Only the data record is maintained.
C) The record and event data are discarded.
D) The event information is discarded, but the data values are maintained.

4. 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) aline chart showing the line frequency measurements for a second compared to the expected value for the last minute for each distribution site
B) a bar chart showing the overall average line frequency value for each of the power distribution sites over the last 24 hour period
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

5. A department store has a centralized inventory system which stores daily transactions. The customer is using Real-time Monitoring (RTM) to report and monitor intra-day transactions. Due to an unexpected power outage in the store, the RTM server shuts down abruptly. Once the server restarts, it is noticed that the data in all the RTM dashboard objects is lost. Which three actions should have been completed to avoid this situation? (Choose three.)

A) Persist all RTM views to a database.
B) Enable recovery for all data streams.
C) Enable prefetch on all lookup tables.
D) Schedule to run checkpoints at regular intervals.
E) Enable "recover state on restart".

Solutions: