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The customer needs assistance m determining the efficiency of a set of process activities within the solution. What should the agile team do?
Suggested Answer: D
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13 comments · newest first
SC
Scot
1 year ago
B is definitely the way to go for real improvements!
MI
Millie
1 year ago
D is just a recap, not really focused on efficiency.
RO
Rocco
1 year ago
Surprised that C isn't getting more attention, it's crucial for prioritization!
DE
Dean
1 year ago
I disagree, A is better for team reflection.
DO
Dong
1 year ago
I think option B makes the most sense for efficiency.
WA
Wava
1 year ago
I’m leaning towards option D because the sprint review is when we showcase performance, but I wonder if that’s too late to address efficiency issues.
ET
Ettie
1 year ago
Reviewing the value the customer gets from user stories seems important, but I feel like that’s more about prioritization than efficiency.
PO
Pok
1 year ago
I remember a practice question where we had to analyze the value stream. Option B sounds familiar, but I can't recall the details.
FE
Felix
1 year ago
I think discussing efficiency at the next iteration retrospective makes sense, but I'm not sure if that's the best time for it.
LO
Loreta
1 year ago
I'm a bit unsure on this one. The question mentions using historical data and additional features like weather and holidays, so I'm not sure if a simpler time series model like ETS would be the best fit. The Convolutional Neural Network - Quantile Regression (CNN-QR) might be able to handle the more complex relationships in the data.
VE
Veronique
1 year ago
Hmm, I'm not sure about this one. The question mentions a WorkGroup, but the "public" share option seems more for HomeGroup. I'll need to double-check the details on file sharing in Windows 8.1.
EL
Eleni
1 year ago
I'm a bit confused by the wording here. I'll need to re-read the question and options.
CA
Caren
1 year ago
This seems like a straightforward question. I'd go with option C - storing the datasets as tables in a multi-node Amazon Redshift cluster. That way, we can easily scale up the storage and compute power as needed, and the SQL querying capabilities will let us explore the data.