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Dell EMC Exam D-DS-FN-23 Topic 1 Question 3 Discussion

Actual exam question for Dell EMC's D-DS-FN-23 exam
Question #: 3
Topic #: 1
[All D-DS-FN-23 Questions]

In time series analysis, what statement describes a MA(q) process?

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Suggested Answer: A

by Na at May 04, 2025, 06:12 PM

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Annmarie
1 months ago
I agree with Cassandra, A is the correct answer.
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Cassandra
1 months ago
But A makes sense because the current deviation depends on previous deviations.
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Paulene
1 months ago
I disagree, I believe it's C.
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Freida
2 months ago
Wait, there's a 'Moving Average' process? Does that mean I can just take the average of the last few values and call it a day? Sign me up for that easy A!
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Aron
1 months ago
User 2: C) Current time series value depends on the q previous values
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Broderick
1 months ago
User 1: A) Current deviation from the time series mean depends on the q previous deviations
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Cassandra
2 months ago
I think the answer is A.
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Diego
2 months ago
Hmm, this is a tough one. I'm tempted to just pick the longest answer option, but I have a feeling that's not the way to approach these questions. Let me think this through... yep, A is the winner for me.
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Misty
26 days ago
I'm going with A as well.
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Mila
28 days ago
I'm not sure, but A sounds right to me.
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Lisha
1 months ago
I agree, A makes the most sense.
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Charlene
1 months ago
I think A is the correct answer.
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Belen
2 months ago
I'm a bit stumped on this one. Polynomial fits? Nah, that's way too complicated for a simple MA(q) process. I'll go with A, it's the only one that makes sense to me.
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Willodean
20 days ago
Yeah, A makes the most sense for a MA(q) process.
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Emogene
25 days ago
I agree, A seems to be the most logical choice.
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Erinn
26 days ago
I think A is the correct answer.
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Cherrie
2 months ago
C'mon, the question clearly says 'time series analysis' - the current value has to depend on the previous values, not some random quotient. Option C is the way to go here.
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Coral
1 months ago
Definitely, option C aligns with the concept of how a MA(q) process works.
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Loreen
1 months ago
Yeah, it's important to consider the previous values when analyzing time series data.
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Tracey
2 months ago
I agree, option C makes the most sense for a MA(q) process in time series analysis.
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Miesha
3 months ago
Option A definitely sounds like the correct description of a MA(q) process. The current deviation depends on the previous q deviations, as the name 'Moving Average' suggests.
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Joseph
2 months ago
That's right, the name 'Moving Average' implies that the current deviation is based on past deviations.
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Colette
2 months ago
Yes, the current deviation depends on the q previous deviations in a Moving Average process.
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Keneth
2 months ago
I agree, option A is the correct description of a MA(q) process.
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