IBM IBM Cognos C2020-615

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IBM Cognos Real-time Monitoring Developer Sample Questions:

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

2. Real-time Monitoring supports two kinds of views: stateful and stateless. Which three statements are true? (Choose three.)

A) One row of a stateful view is derived from multiple rows of the underlying stream which is not a case for stateless view.
B) A stateless view may have a "group by" column selected while a stateful view may not.
C) A stateful view may have a "group by" column selectedwhile a stateless view may not.
D) A snapshot of stateful view may contain multiple rows while a stateless view may not.
E) A stateful view may have set functions while a stateless view may not.

3. A user wants to monitor operational data being published to an external WebSphere MQ server using Real-timeMonitoring (RTM).Which three steps are required to access the operational data as a data stream in RTM? (Choose three.)

A) Deploy an MDB on the application server where WebSphere MQ is running, listening to its message queue.
B) Build a Message Driven Bean (MDB) with appropriate settings using an appropriate build tool (like ant).
C) Download a preconfigured MDB from the RTM install CD.
D) Configurea JMS agent and a JMS data stream in RTM Workbench.
E) Deploy an MDB on the application server where RTM is running, listening to the local message queue.

4. 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.

5. A customer has an order entry system that adds new records periodically throughout the day. The data stream should process only those new records which have been added since the previous polling cycle. These new records should augment previously processed records. How would you configure the "Incrementing Field" and the "Clear State" properties?

A) Set the "Incrementing Field" to be an integer field that contains valueswhich are constantly increasing and set the "Clear State" to "Do Not Clear State".
B) Set the "Incrementing Field" to be a timestamp field that contains values which may be smaller than a previously processed value and set the "Clear State" to "Do Not Clear State".
C) Set the "Incrementing Field" to be an integer field that contains values which may be smaller thana previously processed value and set the "Clear State" to "Do Not Clear State".
D) Set the "Incrementing Field" to be a timestamp field that contains values which are constantly increasing and set the "Clear State" to "Always clear state for new data".

Solutions:

Question # 1 Answer: D

Question # 2 Answer: A,C,E

Question # 3 Answer: A,B,D

Question # 4 Answer: D

Question # 5 Answer: A