The volume of data seems less relevant compared to how sensitive the data is. I think classification might be the best choice, but I’m not completely confident.
I’m not entirely sure, but I think the business benefits of shadow IT might be a key factor too. We had a practice question that emphasized weighing risks against potential gains.
I remember we discussed the importance of understanding the classification of data in relation to shadow IT risks. It seems like that could be crucial here.
Okay, I think I've got it. The diagram shows a spoke-to-spoke via hub topology, which matches option B. Time to mark that down and move on to the next question.
Okay, I think I've got a good handle on this. The key is to focus on the potential issues with the automated regression testing process that could allow the defect to slip through.
This is a great question to test our understanding of injection vulnerabilities. Based on the description, SQL Injection seems like the most relevant answer choice here. I'll double-check the other options, but I'm feeling confident about SQL Injection as the correct answer.
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