Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

ACFE CFE-Investigation Exam - Topic 1 Question 80 Discussion

Which of the following BEST describes the data analytics approach known as predictive analytics?
B) The use of historical data, along with analyses, statistics, and machine learning components, to build a mathematical model that captures important trends and creates a quantitative forecast
A) The configuration of a business program to emulate and Integrate the actions of a human to execute certain business processes, thus increasing efficiency and automating repetitive manual tasks
C) The employment of computer systems to perform human-like tasks such as visual perception and decision-making
D) The use of layered artificial neural networks to accommodate more data and more sophisticated algorithms to identify complex patterns

ACFE CFE-Investigation Exam - Topic 1 Question 80 Discussion

Actual exam question for ACFE's CFE-Investigation exam
Question #: 80
Topic #: 1
[All CFE-Investigation Questions]

Which of the following BEST describes the data analytics approach known as predictive analytics?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Barbra at Feb 12, 2024, 05:50 PM

Limited Time Offer

25%

Off

Get Premium CFE-Investigation Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Beckie
6 months ago
B makes the most sense; it captures trends and uses stats effectively.
upvoted 0 times
...
Trevor
7 months ago
Really? I always thought predictive analytics was just a fancy term for guesswork.
upvoted 0 times
...
Vashti
7 months ago
I thought it was more about AI and neural networks?
upvoted 0 times
...
Sheron
7 months ago
Totally agree, B is definitely the right choice!
upvoted 0 times
...
Catarina
7 months ago
Predictive analytics is all about using historical data for forecasts.
upvoted 0 times
...
Blondell
7 months ago
I thought predictive analytics was more about automating tasks, but that sounds more like option A. Still, I think B fits better with what we learned about forecasting.
upvoted 0 times
...
Annett
8 months ago
I feel like I’ve seen a question similar to this before, and it was about using data to make predictions. Option B sounds familiar, but I’m hesitant.
upvoted 0 times
...
Isadora
8 months ago
I’m not entirely sure, but I remember something about machine learning being involved in predictive analytics. That makes me think option B might be right too.
upvoted 0 times
...
Joaquin
8 months ago
I think predictive analytics is all about using historical data to forecast future trends, so I’m leaning towards option B.
upvoted 0 times
...
Remedios
8 months ago
Predictive analytics is all about using data and algorithms to forecast future outcomes, so I think B is the clear winner here. The other options don't really capture the essence of predictive analytics.
upvoted 0 times
...
Ma
8 months ago
Option B sounds like the most accurate description of predictive analytics. I'll go with that one unless I can come up with a compelling reason why another option might be better.
upvoted 0 times
...
Haydee
8 months ago
Hmm, I'm a bit confused by the options. I'll need to think through the differences between predictive analytics, automation, AI, and neural networks to decide which one best fits.
upvoted 0 times
...
Dacia
8 months ago
I'm pretty sure the answer is B - the use of historical data, analyses, statistics, and machine learning to build a predictive model.
upvoted 0 times
...
Marti
8 months ago
The protocol mismatch between the virtual server (UDP) and the pool member (TCP) seems like the most likely culprit. I'll focus on that first.
upvoted 0 times
...
Judy
8 months ago
The issue could be that the Custom Object creation is not wrapped in a Transaction. That's a common gotcha with Custom Objects.
upvoted 0 times
...
Delisa
2 years ago
That's true, but predictive analytics is more about forecasting future events rather than just pattern recognition.
upvoted 0 times
...
Casandra
2 years ago
I'm not sure, but D also sounds plausible since neural networks can identify complex patterns.
upvoted 0 times
...
Antione
2 years ago
I agree with Delisa, B seems like the best description of predictive analytics.
upvoted 0 times
...
Delisa
2 years ago
I think the answer is B, because predictive analytics is all about using data to forecast future trends.
upvoted 0 times
...

Save Cancel