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Dell EMC D-DS-FN-23 Exam - 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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Lai
3 months ago
Definitely not B, that's just wrong.
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Sabina
3 months ago
Wait, isn't it about the previous values, not just deviations?
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Sol
3 months ago
Totally agree, option A is spot on!
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Dyan
4 months ago
I thought it was about the polynomial, but I guess not!
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Beckie
4 months ago
MA(q) means current deviation depends on q previous deviations.
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Estrella
4 months ago
I definitely recall that MA(q) focuses on previous deviations, so A seems correct. But I wonder if there's a trick in the wording that I'm missing.
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Joanna
4 months ago
I'm a bit confused; I thought MA(q) was more about the values themselves rather than just deviations. Could it be C instead?
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Kallie
4 months ago
I remember practicing a question similar to this, and I think it was about how past errors affect the current value. So, A sounds right to me.
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Nicholle
5 months ago
I think the MA(q) process is about how current deviations relate to previous ones, so maybe it's A? But I'm not entirely sure.
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Brandon
5 months ago
I'm feeling pretty confident about this one. A MA(q) process means the current deviation from the mean depends on the q previous deviations. So option A is the correct answer.
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Jesse
5 months ago
Wait, I thought MA processes were about the deviations, not the actual values. I'm a bit confused now - I'll have to review my notes on time series models before answering this.
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Malinda
5 months ago
Okay, I've got this. A MA(q) process means the current time series value depends on the q previous values, not the deviations. So I'm going to go with option C.
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Allene
5 months ago
Hmm, I'm a little unsure about this one. I know MA processes have something to do with the current value depending on previous values, but I can't quite remember the exact definition. I'll have to think this through carefully.
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Adolph
6 months ago
I'm pretty sure this is asking about a moving average (MA) process in time series analysis. I think option A is the correct answer - the current deviation from the mean depends on the q previous deviations.
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Annmarie
9 months ago
I agree with Cassandra, A is the correct answer.
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Cassandra
9 months ago
But A makes sense because the current deviation depends on previous deviations.
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Paulene
10 months ago
I disagree, I believe it's C.
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Freida
10 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
9 months ago
User 2: C) Current time series value depends on the q previous values
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Broderick
9 months ago
User 1: A) Current deviation from the time series mean depends on the q previous deviations
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Cassandra
10 months ago
I think the answer is A.
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Diego
10 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
9 months ago
I'm going with A as well.
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Mila
9 months ago
I'm not sure, but A sounds right to me.
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Lisha
9 months ago
I agree, A makes the most sense.
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Charlene
10 months ago
I think A is the correct answer.
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Belen
10 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
9 months ago
Yeah, A makes the most sense for a MA(q) process.
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Emogene
9 months ago
I agree, A seems to be the most logical choice.
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Erinn
9 months ago
I think A is the correct answer.
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Cherrie
11 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
9 months ago
Definitely, option C aligns with the concept of how a MA(q) process works.
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Loreen
9 months ago
Yeah, it's important to consider the previous values when analyzing time series data.
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Tracey
10 months ago
I agree, option C makes the most sense for a MA(q) process in time series analysis.
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Miesha
11 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
10 months ago
That's right, the name 'Moving Average' implies that the current deviation is based on past deviations.
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Colette
10 months ago
Yes, the current deviation depends on the q previous deviations in a Moving Average process.
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Keneth
10 months ago
I agree, option A is the correct description of a MA(q) process.
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