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CompTIA DA0-001 Exam - Topic 11 Question 14 Discussion

Actual exam question for CompTIA's DA0-001 exam
Question #: 14
Topic #: 11
[All DA0-001 Questions]

A data analyst received a large amount of third-party data that needs to be joined with in-house data files. After the data is joined, the analyst notices three columns all contain dates. Which of the following should the analyst do to maintain data consistency?

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Suggested Answer: A

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Scot
4 months ago
I feel like separating them might be better. D could work too!
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Roselle
4 months ago
Wait, can you really just merge date columns like that?
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Meaghan
4 months ago
A seems like a lot of extra work for no reason.
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Jesusa
4 months ago
Totally agree with C! Consistency is crucial.
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Danilo
4 months ago
I think C is the best choice. Unifying formats is key!
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Vicki
5 months ago
I vaguely recall something about imputation, but I don't think it applies to dates in this case. I lean towards option C for consistency.
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Wilda
5 months ago
I’m a bit confused about whether we should append or merge the columns. I feel like merging them could lead to issues if the formats are different.
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Kristin
5 months ago
I remember a practice question where we had to standardize date formats, so I feel like option C makes the most sense here.
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Amira
5 months ago
I think we should unify the date formats before merging, but I'm not entirely sure if that's the best approach.
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Jarvis
5 months ago
Hmm, I'm a bit confused by the wording of this question. I'm not sure if I fully understand the difference between the options. I'll need to re-read it carefully and think through the logic.
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Casey
5 months ago
Okay, let me think this through. Remote site A uses G.711, so no transcoding is needed there. But remote site B uses G.729, so we'll need to handle that somehow. I'm leaning towards configuring the hardware transcoder on the site B router, but I want to double-check that.
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Marisha
10 months ago
Option C is the way to go - merge all date columns and unify the format. It's the date-iest solution, if you ask me.
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Kirk
9 months ago
User 3: That makes sense. It's important to have consistent date formats for accurate analysis.
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Elmer
9 months ago
User 2: I agree, merging all date columns and unifying the format is the most logical approach.
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Maryln
10 months ago
User 1: Option C is definitely the best choice. It will make the data consistent.
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Colette
10 months ago
Appending and parsing the date strings? That's like trying to read a calendar in a foreign language - it's going to take some serious linguistic skills.
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Gwenn
10 months ago
Separate the columns into a table and merge? I'd rather navigate a maze of spreadsheets than try that approach.
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Kenneth
8 months ago
Separate the columns into a table and merge? I'd rather navigate a maze of spreadsheets than try that approach.
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Hollis
8 months ago
C) Merge all date columns and unify the format.
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Ivette
8 months ago
A) Append all date columns and parse the strings.
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Laurel
8 months ago
D) Separate the columns into a table and merge.
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Nana
9 months ago
I agree, merging and unifying the format seems like the best option.
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Georgiann
10 months ago
C) Merge all date columns and unify the format.
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Lashaun
10 months ago
A) Append all date columns and parse the strings.
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Izetta
10 months ago
Merging all the date columns and unifying the format? Sounds like a job for a data alchemist, not an analyst.
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Doretha
10 months ago
User 2: Yeah, that would definitely help maintain data consistency.
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Lyla
10 months ago
User 1: I think merging all date columns and unifying the format is the way to go.
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Ronald
11 months ago
Imputing date columns? That's like trying to fill in a pothole with duct tape - it might work temporarily, but it's not a long-term solution.
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Mayra
11 months ago
I disagree, I think we should append all date columns and parse the strings for better accuracy.
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Aleisha
11 months ago
I agree with Jessenia, it's important to maintain data consistency.
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Jessenia
11 months ago
I think we should merge all date columns and unify the format.
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