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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) 2
B) 1
C) 4
D) 0

2. A database administrator notes that the Real-time Monitoring server is performing many queries in a short time period, more than a dozen each second. You verify that the data stream is configured to pollthe database every 30 seconds. What would cause this problem?

A) A view built on the event stream is joined to a lookup table that is not configured for caching.
B) The data stream is defined without selecting the option to treat all rows as a single event.
C) The data stream does not have an incrementing field defined.
D) A view built on the event stream is joined to a lookup table that is not indexed properly.

3. 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 be attached without any rows of data.
B) The reportlet may include a row where an ord_qty column included in the average is between 1000 and 3000.
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.

4. 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) Remove the Product_Description and UnitPrice fields from the lookup table query.
C) Add an index to the ProductTag field.
D) Add an index to the Product_ID field.

5. A customer's database, which is used as a source for a lookup table, is modified on a regular basis causing the data to become invalid within five minutes. The databasecontains 5,000,000 rows and is indexed on the field to be joined on and optimized for reading. How should the caching settings be configured for this lookup table?

A) Enable caching with a setting of "20" in the "Number of results to cache" field and set an invalidation schedule for every five minutes.
B) Enable caching with a setting of "20" in the "Number of results to cache" field.
C) Enable Caching with a setting of "20" in the "Number of results to cache" field, set an invalidation schedule for every five minutes, and enable prefetch.
D) Disable caching.

Solutions: