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IBM Cognos Real-time Monitoring Developer Sample Questions:

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

2. Information in your Real-time Monitoring view is being sourced real time from a relational database using a JDBC agent. How and when is the data acquired to be viewed in the dashboard object?

A) New data is pulled from the relational database when a user views the dashboard object.
B) New data is pushed real time from the database using a stored procedure as it is entered into a table.
C) New data is pulled from the relational database on a specific polling time schedule.
D) New data is pushed to the view based on the executionof a database trigger.

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

4. An analyst has been asked to build a rule, alert, and reportlet in Real-time Monitoring (RTM). The rule that triggers the alert fires when: ord_qty>1000. Areportlet should be attached to the alert containing relevant and supplemental information based on the exception information that the rule detected. The view on which the reportlet is based is grouped by product and defines Average_Quantity as: AVERAGE(ord_qty). When attaching the reportlet the analyst created a rule filter based on the data in the data stream. The rule filter is defined as: ord_qty > 3000.When attaching a reportlet to an alert, which two descriptions are true? (Choose two.)

A) The reportlet may include a row where an ord_qty column included in the average is between 1000 and 3000.
B) The reportlet may be attached without any rows of data.
C) The reportlet will never include rows where the Average_Quantity is less than 3000.
D) The reportlet will always include a row for the product that was in the event that triggered the alert.

5. A financial services customer needs to monitor market data performance metrics. The market data pricing feed is currently about 50,000 updates per second, that will grow to 100,000 per second. It is expected that the trading strategies will input market data and determine through mathematical calculations which orders to execute. The order executions will be approximately 100 executions per minute, with spikes to 6000 per minute. Regarding Real-time Monitoring, which statement is correct?

A) RTM can provide the trade strategy mathematical calculations only.
B) RTM can process the market data pricing feed, perform mathematical calculations on this data, and provide all performance metrics.
C) RTM can provide order execution metrics only.
D) RTM can perform the trade strategy mathematical calculations, and provide order execution metrics.

Solutions: