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IBM Cognos Real-time Monitoring Developer Sample Questions:

1. Click the Exhibit button.

A customer is implementing a data stream based on an XML file. A sample file is shown in the exhibit. The Xpath root is "/data/machines". The data stream contains thecolumns with Xpaths: MachineID: machine/@machineid Temperature: machine/temperatureAfter processing the sample file, how many rows of data will be in the last event?

A) 4
B) 2
C) 0
D) 1

2. A customer has a database containing account information which is updated daily at 1:00 am. The updating process runs for about five minutes. How should the invalidation schedulefor a lookup table built on this data source be configured?

A) by invalidating at 1:00 am every day
B) by invalidating hourly every day
C) by invalidating at 1:15 am every day
D) by not specifying an invalidation schedule

3. A customer currently has the username and password specified in clear text on the JDBC URL for their JDBC agent. Their security team has identified this configuration as a security risk for their company. What do you tell the customer?

A) Use database supported encryption to encode the username and password in the URL.
B) Specifythe username and password in the corresponding username and password fields.
C) Create a separate database user account with limited access.
D) Use an appserver configured data source instead of the JDBC URL.

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 table showing all of the line frequency measurements for each power distribution point for the last 30 days
C) 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
D) a bar chart showing the overall average line frequency value for each of the power distribution sites over the last 24 hour period

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

Solutions: