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Tableau Exam TDS-C01 Topic 2 Question 66 Discussion

Actual exam question for Tableau's TDS-C01 exam
Question #: 66
Topic #: 2
[All TDS-C01 Questions]

__________ is a technique in Tableau which will identify marks with similar characteristics

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Suggested Answer: A

Cluster analysis partitions marks in the view into clusters, where the marks within each cluster are more similar to one another than they are to marks in other clusters.


Contribute your Thoughts:

Adolph
19 days ago
Clustering is the way to go, no doubt. Though I have to say, the mental image of a tableau user 'unioning' their data is pretty hilarious.
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Ronnie
27 days ago
Grouping could work, but Clustering just sounds more accurate for this task. Though I do wonder if the exam writers are trying to trick us with some creative wording.
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Tamar
24 hours ago
I think you're right, Clustering is probably the technique they're looking for. Let's go with that.
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Belen
3 days ago
I agree, Clustering seems like the best choice here. It's all about identifying similar characteristics.
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Dion
1 months ago
Union? Really? That's like the complete opposite of what this question is asking for. I need to brush up on my Tableau basics.
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Carol
9 days ago
C) Sets can help in identifying and grouping marks with similar characteristics.
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Sueann
23 days ago
B) Grouping can also be used to group marks with similar characteristics together.
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Clay
24 days ago
A) Clustering is the correct technique for identifying marks with similar characteristics.
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Ines
1 months ago
I was thinking Sets might work, but Clustering makes more sense. Gotta love when Tableau makes it easy to group data with similar characteristics.
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Tracey
6 days ago
Clustering is a powerful tool in Tableau for identifying and grouping data with similar characteristics.
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Francoise
7 days ago
Yes, Clustering is definitely the way to go for grouping data with similar characteristics.
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Reuben
29 days ago
I agree, Clustering is the technique in Tableau that identifies marks with similar characteristics.
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Nell
2 months ago
Clustering definitely seems like the right answer here. It's all about identifying similar marks, which is exactly what the question is asking for.
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Hermila
22 days ago
Yes, clustering is the way to go for this question. It helps in grouping similar data points together.
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Pansy
1 months ago
I agree, clustering is the technique that identifies marks with similar characteristics.
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Jesusita
2 months ago
I'm not sure, but I think it could also be C) Sets. Sets can group similar characteristics too.
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Golda
2 months ago
I agree with Arlie, clustering makes sense for identifying similar marks.
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Arlie
2 months ago
I think the answer is A) Clustering.
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