An IS auditor is observing transaction processing and notes that a high-priority update job ran out of sequence. What is the MOST significant risk from this observation?
An IS auditor is observing transaction processing and notes that a high-priority update job ran out of sequence. What is the MOST significant risk from this observation?
When a high-priority update job runs out of sequence, the most significant risk is that it may complete with invalid data. Running the job out of sequence can lead to processing without the correct input or context from previous jobs, thereby resulting in erroneous data. This directly impacts data integrity, which can have serious consequences for the organization, especially if decisions are made based on inaccurate information.
B is correct answer. Because jobs should run in sequence as they are dependent on each other.
The answer is correct , the risk is invalid data
should be B
D. The question is asking about significant risk from this observation and not as to why did it happen!
Answer: B "Previous jobs may have failed," seems more aligned with the potential risks associated with an update job running out of sequence. If previous jobs have failed or not completed as expected, it could indicate underlying issues in the processing environment, leading to data discrepancies, operational disruptions, or compliance concerns. Therefore, option B is a more comprehensive concern as it addresses the potential ripple effects of out-of-sequence job execution on the overall processing integrity and reliability.
Agree on B, sequence job may fail by previous
consider the key word risk, I choice answer D, invalid data rather than B, it is because the previous job is fact and the result cannot be return, it is not a risk anymore
When a high-priority update job runs out of sequence, it may not have the necessary input or context to process data correctly. As a result, there's a significant risk that the job completes its processing with invalid data. This directly impacts data integrity and can have serious consequences for the organization, especially if decisions are made based on the erroneous data.
Vote for D. - A. and B. are not risks per se, but possible root causes. If we compare C. and D. to get the answer to the question about the "*MOST* significant risk" it's clearly D. as returning invalid data is for sure a more significant than an incomplete job which will return anyway an incompletion error message to the operator.