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Q21. A banking customer needs to monitor transactions and determine when processing is out of normal operating ranges. The metrics will compare transaction rates processed in a 10 minute window to other rates measured in that same 10 minute window (same day of week and time interval), averaged over the previous 30 days. Transaction data is distributed over MQ Series middleware and an Oracle database is available for historical trending analysis. Alerts need to be sent when the latest 10 minute window is over 1000 percent of the previous 30-day average. Which statement is correct about Real-time Monitoring (RTM)? 

A. RTM can perform all of the requirements described. 

B. RTM can aggregate the transaction data by 10 minute windows, but cannot do the historical data comparisons. 

C. RTM can perform all of requirements except for the alert conditions. 

D. RTM can only access data stored in the Oracle database. 

Answer:


Q22. 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 pulled from the relational database when a user views the dashboard object. 

C. New data is pushed to the view based on the execution of a database trigger. 

D. New data is pulled from the relational database on a specific polling time schedule. 

Answer:


Q23. 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. Specify the username and password in the corresponding username and password fields. 

B. Use database supported encryption to encode the username and password in the URL. 

C. Use an appserver configured data source instead of the JDBC URL. 

D. Create a separate database user account with limited access. 

Answer:


Q24. A user wants to build a dashboard for an operations manager who wants to monitor the number of unsatisfied customer calls which were not resolved by the call center representative and had to be escalated. The operations manager wants to monitor this over five minute intervals, over one day, and compare them with a similar trend over the last ten years. Daily transactional data is stored in a database, and is loaded into a data warehouse nightly for historical analysis and purged weekly. Which two actions achieve this using the Cognos suite of products? (Choose two.) 

A. Use Real-time Monitoring (RTM) to model both a five minute and a 10-year trend chart using the temporal windows functionality based on the database data only. 

B. Use Business Intelligence to model a 10-year trend chart based on the data warehouse and RTM to model a five minute trend chart based on the database and display them together in the Business Insight workspace. 

C. Use Business Intelligence to model both the 10-year trending and the five-minute trend chart based on the data warehouse and display them in the Business Insight workspace. 

D. Use RTM to model both a five minute and a 10-year trend chart using the temporal windows functionality based on the database data for data streams and the data warehouse for a lookup table. 

Answer: B,D 


Q25. 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 poll the 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. A view built on the event stream is joined to a lookup table that is not indexed properly. 

C. The data stream does not have an incrementing field defined. 

D. The data stream is defined without selecting the option to treat all rows as a single event. 

Answer:


Q26. 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. A reportlet 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 will never include rows where the Average_Quantity is less than 3000. 

C. The reportlet may be attached without any rows of data. 

D. The reportlet will always include a row for the product that was in the event that triggered the alert. 

Answer: B,C 


Q27. In an event stream, the data stream query returns 100 total rows on the first polling, 200 rows on the second polling, and 50 rows on the third polling. The "Treat all rows in the result set as a single event" property is selected. If a stateless view is created (with all settings set to default) based on this data stream, how many rows will exist in that view after the third polling? 

A. 1 

B. 50 

C. 200 

D. 350 

Answer:


Q28. 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 values which may be smaller than a previously processed value and set the "Clear State" to "Do Not Clear State". 

B. 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". 

C. 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". 

D. Set the "Incrementing Field" to be an integer field that contains values which are constantly increasing and set the "Clear State" to "Do Not Clear State". 

Answer:


Q29. Click the Exhibit button. 

A customer has recently added a proxy Web server in front of the Real-time Monitoring (RTM) server. The proxy has been configured to route all requests on port 80 with a URL path starting with "rtm/" to the RTM server. The customer has a flat file agent running outside the proxy. The exhibit shows an agent configuration file that was correct before the proxy was added. Which two changes to the configuration file are required? (Choose two.) 

A. Change the value for attribute "serverPort" to "80". 

B. Change the value for attribute "agentPort" to "80". 

C. Change the hostname value from "my.company.com" to "my.company.com/rtm". 

D. Add a "serverPath" attribute to the "VCAgent" element with the value of "/rtm/realtime/ffs". 

Answer: A,D 


Q30. 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 alerts which 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 Maximum alerts to Display to 100. 

B. Set Maximum alerts to be fired per interval to 100. 

C. Set the Alert Expiration Interval to 1 day. 

D. Set Interval Size to 1440 and Interval Unit to Minutes 

Answer: A,C