IBM C2020-615 : IBM Cognos Real-time Monitoring Developer

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

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

A department store has a centralized inventory system which stores daily transactions. The customer is using Real-time Monitoring (RTM) to report and monitor intra-day transactions. Due to an unexpected power outage in the store, the RTM server shuts down abruptly. Once the server restarts, it is noticed that the data in all the RTM dashboard objects is lost. Which three actions should have been completed to avoid this situation? (Choose three.)

• A. Persist all RTM views to a database.
• B. Enable recovery for all data streams.
• C. Enable prefetch on all lookup tables.
• D. Schedule to run checkpoints at regular intervals.
• E. Enable "recover state on restart".

An organization is using Real-time Monitoring for monitoring business transactions that happen in the previous 24 hours only. The users are only interested in alertswhich are received in the last 24 hours. They also want to see the recent 100 alerts in an Alert Manager list. Which two include the settings needed to accomplish this? (Choose two.)

• A. Set Interval Size to 1440 and Interval Unit to Minutes
• B. Set Maximum alerts tobe fired per interval to 100.
• C. Set the Alert Expiration Interval to 1 day.
• D. Set Maximum alerts to Display to 100.

A user wants to analyze a call center's call volume in four regions for each hour over the previous five days. Which three steps allow you to do this? (Choose three.)

• A. Group by the column region and timestamp (truncated to an hour) in the view.
• B. Add a windows clause to the view to slide one hour over five days.
• C. Create a stateless view on the data stream which is streaming the call center call data records.
• D. Set "maintain in view" to be "120" (24 hours * 5 days = 120).
• E. Create a stateful view on the data stream which is streaming the call center call data records.