Free Access ACFE.CFE-Investigation.v2023-04-01.q55 Practice Test (Page 6)

Question 21

Which of the following types of data is BEST suited for a BenfordTs Law analysis?

A.Telephone numbers

B.Employee identification numbers

C.A listing of payment amounts

D.Vendor addresses

Question 22

Which of the following is the MOST IMPORTANT question for a fraud examiner to ask before commencing a legal action to recover assets?

A."Is there a relevant statute of limitations9"

B."Is the suspect guilty of the fraudulent act?''

C."Does the suspect already have a criminal record?"

D."Are nonlegal recovery methods or remedies available?''

Question 23

Which of the following is the MOST ACCURATE statement regarding the analysis phase in digital forensic investigations?

A.The primary concern when analyzing digital evidence is to maintain the integrity of the data at all times

B.The analysis phase of digital forensic investigations should not commence unless it is venfied that the suspect devices do not contain relevant data

C.When analyzing data for evidence, fraud examiners should look for exculpatory evidence But not inculpatory evidence

D.During the analysis phase, it is best to use just one forensic tool for identifying, extracting, and collecting digital evidence

Question 24

Management at First Choice Inc. suspects that Nathan, its chief financial officer (CFO), has been embezzling funds. It hires Rein a. a Certified Fraud Examiner (CFE), to investigate the matter When conducting the fraud examination. Reina should proceed as though;

A.After Nathan is terminated, the case will end

B.Nathan is guilty

C.The case will end in litigation.

D.The matter will be resolved completely internally.

Question 25

Management at Oak Company has asked Arthur, an internal auditor, to implement a data analysis program to search for warning signs of potential fraud within the company. Which of the following steps should Arthur conduct first to MOST effectively use data analysis techniques for such an initiative?

A.Obtain the data.

B.Build a profile of potential frauds.

C.Analyze the data.

D.Cleanse and normalize the data

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Question 21

Question 22

Question 23

Question 24

Question 25

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