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Consider the following steps for a theoretical manual process
* Check in input folder for any new files.
* If there are no files check again later as files can arrive anytime, and there is no limit to the number of files that may come.
* Open the next available file.
* Take the first case
* Start System X and find the case details.
* If the case can't be found, move to the next one.
* After finding the case in System X. fetch additional case details from System Y.
* Again if the case can't be found, move to the next one
* Analyse all the data to see if System Z should be updated.
* If the data does not meet the requirements, add notes indicating this to Systems X and Y and move to the next case
* If the data does meet the requirements, update the case in System Z
* Add notes to Systems X and Y and move to the next case.
* At the end of the file, go back and look for another
* Stop checking for new files at 16:00 and finish any remaining cases.
* When all work is complete create a report of the day's exception cases.
* Close down Systems X, Y and Z.
If the volume of incoming cases is such that 1 Resource PC can easily handle the workload, which of the following steps for an automated solution should be part of the 'Preparation' phase of an automated process?
An Insurance company has created 4 Blue Prism processes: 1. Change of Address
2 Claims Processing
3 Renewals
4 Order Letter
The Order Letter process is not a published process but is called as a sub process by each of the 3 other processes.
Each day at 6am a scheduler starts:
* 3 instances of the Renewals process on the same virtual machine
* 2 instances of the Claims Processing process on 2 different virtual machines
* 1 instance of the Change of Address process on its own virtual machine
How many licenses will be consumed by the running processes?
Consider the following high-level design:
The application concerned is prone to being sluggish or even unresponsive at times. As the solution designer you should anticipate that there will be system exceptions and that after an exception case the application might not be in arNdea1 state. What should you do? (select 3 responses).
A proposed Blue Prism solution with the following properties has been created to automate the payment processing:
* There will be one Blue Prism process that will perform the steps described above.
* Where a case is an exception the status will be set in Paytex to "Manual Review" in order that the manual team can pick up the case from Paytex and contact the customer and conclude the case.
* It is anticipated that to meet the SLAs of the expected volumes up to 5 instances of the Blue Prism process will be required to run concurrently.
* A Blue Prism work queue will be used to host the payments. The queue will be configured for only 1 attempt per case and the key will be {region} & {source account number}.
* The process will be started by the scheduler at 06:00 and will stop at 05:50
Which of the following are correct? (select 3 responses).
A process is required for a telecoms company to work cases supplied via a daily Excel file Although the file will only contain around 1000 rows, the average case time is such that the workload is far too big for one machine to complete in a day, so the solution has been designed with multiple machines in mind. One machine will load the work queue while the others wait, then once the queue is ready all machines will work it together. The requirements state that the input file is machine generated, has a known format is generally clean but may contain exceptions - rows with an empty cell, partial phone numbers, or accounts that don't exist. What should the solution do to combat this problem?
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