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ASQ CQA Exam - Topic 8 Question 52 Discussion

When an internal audit program is being formulated, the auditees' anxiety about the audit process is most likely to be reduced by which of the following?
A) A cooperative process for involving participants in the development of audit procedures
B) A clear description of the rules developed by the auditing group
C) Clearly stated provisions for performing unannounced audits
D) Clearly stated procedures for resolving audit findings

ASQ CQA Exam - Topic 8 Question 52 Discussion

Actual exam question for ASQ's CQA exam
Question #: 52
Topic #: 8
[All CQA Questions]

When an internal audit program is being formulated, the auditees' anxiety about the audit process is most likely to be reduced by which of the following?

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Suggested Answer: A

by Cecil at May 31, 2022, 09:20 AM

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Roy
8 months ago
Unannounced audits? That sounds a bit harsh!
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Lamar
8 months ago
Totally agree, involving everyone makes a difference!
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Terina
9 months ago
Clear rules are a must! It sets expectations.
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Lawana
9 months ago
Not sure if that’s enough to calm everyone down.
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Cordelia
9 months ago
A cooperative process really helps ease the tension!
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Fatima
9 months ago
I’m a bit confused about the unannounced audits part. I don’t think that would help reduce anxiety, so I’d lean away from option C.
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German
9 months ago
I practiced a question similar to this, and I think it was about communication. Option A seems like the best way to reduce anxiety.
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Mira
9 months ago
I'm not entirely sure, but I feel like having clear rules could help too. Maybe option B is a good choice?
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Lilli
9 months ago
I remember discussing how involving participants in the audit process can really help ease their concerns. So, I think option A makes sense.
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Phung
9 months ago
Okay, I think I've got this. The philosophy of consumer choice is all about empowering consumers, so the missing words must be "Increased" and "Increased".
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Twanna
9 months ago
Logistic regression with L1 is definitely the way to go here. The high dimensionality means overfitting is a big risk, and L1 will help with that by performing feature selection. It's a classic technique for this type of problem.
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