CompTIA DA0-001 Exam - Topic 3 Question 52 Discussion

Actual exam question for CompTIA's DA0-001 exam

Question #: 52
Topic #: 3

Which of the following types of analyses should be used to evaluate the connections and anomalies in a data set when either known patterns are being violated or new patterns are emerging?

ACorrelation

BDescriptive

CGraph

DRegression

Show Suggested Answer

Suggested Answer: C

by Shantay at Jan 25, 2025, 05:13 AM

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Kiley

4 months ago

I disagree, correlation alone won't cut it here.

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Margarett

5 months ago

Descriptive analysis is useful, but not for this.

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Keith

5 months ago

Wait, can graph analysis really show anomalies?

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Floyd

5 months ago

Definitely going with regression for this one!

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Olive

5 months ago

I think correlation is key for spotting those connections.

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Marjory

6 months ago

Graph analysis might help visualize connections, but I wonder if it’s enough for evaluating anomalies like the question suggests.

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Lavonna

6 months ago

Descriptive analysis sounds familiar, but I’m not convinced it’s the best for detecting new patterns. Maybe I need to rethink that.

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Glynda

6 months ago

I remember practicing with similar questions, and I feel like regression could be relevant for analyzing anomalies, but it seems more focused on predictions.

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Christiane

6 months ago

I think correlation might be the right choice since it helps identify relationships, but I'm not entirely sure.

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Michal

6 months ago

I'm pretty confident that regression would be the best approach to evaluate the connections and identify any violations of known patterns.

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Curt

6 months ago

Descriptive analysis could be a good starting point to get an overview of the data before diving into more complex techniques.

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Shonda

6 months ago

Hmm, I think graph analysis might be the way to go here. That could help me visualize any anomalies or new trends in the data.

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Ayesha

6 months ago

This seems like a tricky one. I'm not sure if I should go with correlation or regression to analyze the data patterns.

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Micheline

1 year ago

Hold up, this question is bananas. I'm just going to go with my gut and say Graph. Who needs patterns when you can make your own rules?

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Carmela

1 year ago

Regression? Nah, that's for the boring stuff. I'm feeling Graph all the way. Time to get creative with those data connections!

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Shaquana

1 year ago

I think Correlation could also be useful to see how variables are related to each other.

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Jin

1 year ago

I agree, Graph analysis can really help uncover new patterns in the data.

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Galen

1 year ago

That's a good point, visualizing the data can definitely help in identifying patterns.

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Stephania

1 year ago

I think it could also be C) Graph, as visualizing the data can help identify anomalies.

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Aja

1 year ago

But regression helps us understand the relationships between variables in the data set.

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Eulah

1 year ago

Correlation is too simple, and Descriptive won't cut it. I'm going with Graph - visualizing that data is key to spotting the weird stuff.

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Anabel

1 year ago

Yeah, Descriptive might not be enough to evaluate the patterns in the data set.

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Mauricio

1 year ago

Correlation might be too simple for this kind of analysis.

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Daniel

1 year ago

I agree, seeing the connections and anomalies can really help in understanding the data.

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Annalee

1 year ago

I think Graph is the way to go, visualizing the data is important.

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Leanna

1 year ago

Wow, this is a tough one! I'm torn between Graph and Regression. Gotta dig deeper into those anomalies, you know?

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Kara

1 year ago

Let's explore both options further before making a decision.

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Valene

1 year ago

I see what you mean, but I still think Regression is the better choice.

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Carmelina

1 year ago

I'm leaning towards Graph for this one.

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Ivan

1 year ago

I think Regression might be the way to go here.

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Galen

1 year ago

I disagree, I believe it's A) Correlation.

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Aja

1 year ago

I think the answer is D) Regression.

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