New Year Sale 2026! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

CompTIA DA0-001 Exam - Topic 4 Question 34 Discussion

Actual exam question for CompTIA's DA0-001 exam
Question #: 34
Topic #: 4
[All DA0-001 Questions]

An analyst must obtain the average daily sales for the following week:

Which of the following must the analyst perform to obtain this value?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

0/2000 characters
Rolf
3 months ago
Seems too simple, are we sure aggregation is all that's needed?
upvoted 0 times
...
Carole
3 months ago
I thought data blending was important too, but not for averages?
upvoted 0 times
...
Vinnie
3 months ago
Wait, why would you need data normalization for this?
upvoted 0 times
...
Salena
4 months ago
Totally agree, aggregation is the way to get averages.
upvoted 0 times
...
Delpha
4 months ago
Gotta go with C, data aggregation is key!
upvoted 0 times
...
Tayna
4 months ago
I’m leaning towards data aggregation too, but I feel like I need to double-check the definitions to be certain.
upvoted 0 times
...
Edelmira
4 months ago
Data aggregation sounds familiar for averaging values, but I wonder if data blending could also be relevant here.
upvoted 0 times
...
Kaycee
4 months ago
I remember practicing a question like this, and I think data normalization was mentioned, but it doesn't seem right for this scenario.
upvoted 0 times
...
Georgeanna
5 months ago
I think we might need to look at data aggregation for calculating the average daily sales, but I'm not entirely sure.
upvoted 0 times
...
Marshall
5 months ago
Okay, I've got this. Data aggregation is definitely the way to go to calculate the average daily sales for the week.
upvoted 0 times
...
Laura
5 months ago
I'm a little confused by the question. Is data normalization or data blending also a possibility here?
upvoted 0 times
...
Melodie
5 months ago
Data aggregation seems like the right approach here. I'll need to sum up the daily sales and divide by the number of days.
upvoted 0 times
...
Tamesha
5 months ago
Hmm, I'm a bit unsure about this one. I'll need to think through the different options carefully.
upvoted 0 times
...
Anastacia
5 months ago
This looks straightforward. I think I'll need to perform data aggregation to get the average daily sales for the week.
upvoted 0 times
...
Dominque
5 months ago
I'm pretty sure the S&P 500 is a value-weighted index, so that can't be the answer. Let me think about the other options...
upvoted 0 times
...
Bernardine
5 months ago
Traffic policing might work, but I'm not convinced it can provide the relative bandwidth guarantees that the question is asking for. I'd go with traffic shaping.
upvoted 0 times
...
Tarra
5 months ago
Okay, the key things I'm looking for are whether the criteria are specific, measurable, and testable. I think i) and iii) meet those requirements, but I'm not sure about ii) and iv).
upvoted 0 times
...
Jani
9 months ago
I bet the analyst is gonna need a spreadsheet the size of Texas to handle all this data. C) is the only way to tame this beast!
upvoted 0 times
Gracie
8 months ago
Totally, C) Data aggregation is the key to getting the average daily sales for the following week.
upvoted 0 times
...
Marcos
8 months ago
Yeah, trying to normalize or blend all that data would be a nightmare. C) Data aggregation is the most efficient option.
upvoted 0 times
...
Josphine
9 months ago
I agree, C) Data aggregation is definitely the way to go with all that data.
upvoted 0 times
...
...
Mitzie
10 months ago
Dude, I hope the analyst has a good calculator. This is some serious number-crunching action right here. C) is the way to go, no doubt.
upvoted 0 times
...
Nancey
10 months ago
Data blending? What is this, a smoothie? Nah, I'm going with C. Aggregate that data and give me the average, stat!
upvoted 0 times
Shad
8 months ago
User 3: User 3: User 3: Agreed! Let's aggregate that data for the average daily sales.
upvoted 0 times
...
Felicitas
9 months ago
User 2: User 2: User 2: C) Data aggregation
upvoted 0 times
...
Coleen
9 months ago
User 1: Data blending? What is this, a smoothie?
upvoted 0 times
...
...
Maurine
10 months ago
Data normalization? Really? That's like trying to make a square peg fit into a round hole. No way, man. C) all the way!
upvoted 0 times
Blossom
8 months ago
Yeah, data aggregation is definitely the right choice.
upvoted 0 times
...
Florinda
8 months ago
Data aggregation is the way to go.
upvoted 0 times
...
Gearldine
10 months ago
C) all the way!
upvoted 0 times
...
Taryn
10 months ago
Data normalization? Really? That's like trying to make a square peg fit into a round hole.
upvoted 0 times
...
...
Gilma
10 months ago
Hmm, I'm not sure. B) Data append sounds like it could work too, but I'm leaning towards C. Gotta love a good old-fashioned data aggregation!
upvoted 0 times
...
Tyisha
10 months ago
Okay, this looks straightforward. I think the answer is C) Data aggregation. You gotta crunch those numbers to get the average!
upvoted 0 times
...
Xenia
10 months ago
I'm not sure, but I think data blending could also be used to obtain the average daily sales.
upvoted 0 times
...
Whitley
11 months ago
I agree with Marla, data aggregation makes sense because we need to calculate the average.
upvoted 0 times
...
Marla
11 months ago
I think the analyst must perform data aggregation to obtain the average daily sales.
upvoted 0 times
...

Save Cancel