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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) 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.
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 and leave the related "others" box unchecked.
C) 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.
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.

2. A retail customer must be able to analyze sales of various products as they happen. Users will view metrics for the number of units soldevery five minutes by region, by product type, and by time increment. At times, the users will need to drill into a specific five minute time increment to see all the details of each transaction that makes up the unit count (for a specific region/type). Transactions are populated into five distinct regional databases from the retail outlets. Regarding Real-time Monitoring, which statement is correct?

A) RTM can provide all the requirements, but would require a centralized data store of all transaction-level detail.
B) RTM can aggregate unit counts across the various dimensions, but not provide the detailed transactions when drilled upon.
C) RTM can provide all the requirements except the aggregation of data from the five sources.
D) RTM can provide all the requirements without any new infrastructure.

3. A data stream uses a query that returns a data set that contains the following fields: Order_id -- a unique row ID Num_Ordered -- the quantity of items contained in the orders Order_Timestamp -- time that the order was placed in the source systemA view containing a column measure named Order_Count is defined to be "mov_count(Order_ID, HOUR, 3, Order_Timestamp)" is created using this data stream. Which records from the data stream result set will be included in the Order_Count calculation?

A) order records processed within three hours of the current system time
B) order records processed where the Order_Timestamp of the record is within three hours of the current system time
C) order records processed where the Order_Timestamp of the record is within three hours of the most recent Order_Timestamp record in the view
D) order records processed where the Order Timestamp of the record is within three hours of the current system time for any order record in the view

4. A customeris creating a new dashboard in Business Insight. The customer adds a Real-time Monitoring (RTM) widget to this dashboard and makes some changes to it. The customer then saves the dashboard, reopens it and notices that the changes made to the RTM widget arelost. Why did this happen?

A) The customer has no permission to create dashboard objects in RTM.
B) The customer is sharing the dashboard object with other users.
C) The customer did not save the individual widget before saving the dashboard.
D) The customer has no permission to edit this dashboard object in RTM.

5. A user wants to create a cube from a fact table that hascolumns (order_ID, product_ID, region_ID, Order_Date, salesperson_ID, Order_Qty), with all fields being an integer data
type. Dimensions with the following columns and data type also exist: calendar: calendar_date (date), day (integer), day_name (char), month (integer), year (integer) product: product_ID (integer), description (char) salesperson: salesperson_ID (integer), name (char), manager_ID (integer), territory (char), quota_ID (integer) quota: quota_ID (integer), class (char), amount (decimal)Which two dimensions can be joined to the fact table in the cube? (Choose two.)

A) quota
B) salesperson
C) calendar
D) product

Solutions: