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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 along with the related "others" box.
B) 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.
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) 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.

2. Acustomer has built a lookup table named "Prods" on a database with the following query: SELECT Product_ID, 'D' || cast(Product_ID as VARCHAR) as ProductTag, Product_Name, Product_Description, UnitPrice FROM PRODUCTS.They have built a dimension named "Prod_dim" on this lookup table with the following structure: Hierarchy: Product_Name, Product_ID Key Field: ProductTag. What are two ways to improve performance, assuming there are no other objects using Prods? (Choose two.)

A) Add an index to the ProductTag field.
B) Add an index to the Product_ID field.
C) Increase the invalidation schedule frequency.
D) Remove the Product_Description and UnitPrice fields from the lookup table query.

3. 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 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.
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 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.
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.

4. In an event stream, the data stream query returns 100 total rows on the first polling, 200 rows on the second polling, and 50 rows on the third polling. The "Treat all rows in the result set as a single event" property is selected. If a stateless view is created (with all settings set to default) based on this data stream, how many rows will exist in that view after the third polling?

A) 50
B) 200
C) 1
D) 350

5. Which three settings are required to synchronize the user and/or roles from an external directoryserver, like LDAP, to Real-time Monitoring? (Choose three.)

A) LDAP Port
B) LDAP Synchronization User DN
C) LDAP User Primary Email
D) LDAP Principal DN Prefix
E) LDAP User Base DN

Solutions: