Consider the Following High-Level Design

question 1

Multiple Choice

Consider the following high-level design. The solution is intended to read medical data from one application in order to update another. An input file is prepared by an overnight batch run for the solution to work through each morning before patients arrive. Usually the input file is fairly small but at certain times each month the file is much larger. Which of these options should be considered be the process solution designer to guarantee the quality of the end-to-end solution? (Choose four.)

• A) Once in production the process controller should ensure that the process is only ever run on one Resource PC.
• B) The solution should log in to the applications before starting the case working loop.
• C) The solution should split the file into pieces to distribute to each Resource PC.
• D) The solution should log out from applications after existing working loop.
• E) Each Resource PC should be set to take a different row from the others, e.g. RPC-A works rows 1, 4, 7, 10 etc., RPC-B works 2, 5, 8 etc. and RPC-C works 3, 6, 9 etc.
• F) The solution should start by loading the file data into a work queue.
• G) The file should be updated at the start of each case to prevent other RPCs from working it.
• H) Once in production the clinic should wait until the solution has completed before admitting patients.
• I) The batch run should create multiple input files so that each Resource PC has its own file to work with.
• J) The file should be updated after each case to indicate that the case has been worked.
• K) The solution should use an environment lock to ensure the file can only be accessed by one Resource PC at a time.

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Definitions:

Null Hypothesis

The hypothesis in statistical testing that assumes no significant difference or effect in the population; it is the hypothesis that researchers aim to test against.

One-sample T Test

A statistical test used to determine whether the mean of a single sample differs significantly from a known or hypothesized population mean.

Standard Error

A statistical measure that estimates the accuracy of a sample mean by quantifying the dispersion of sample means around the population mean.

Standard Deviation

A measure of the amount of variation or dispersion of a set of values, showing how much the values differ from the mean.