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Huawei Exam H13-811_V3.0 Topic 5 Question 75 Discussion

Actual exam question for Huawei's H13-811_V3.0 exam
Question #: 75
Topic #: 5
[All H13-811_V3.0 Questions]

Among the Huawei Cloud E1 services, which service is most suitable for solving sales forecast scenarios?

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Suggested Answer: B, D

by Jolene at Dec 06, 2024, 11:24 PM

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Lauryn
3 months ago
I bet the exam question is just trying to trip us up. They're probably all equally suitable, and it's just a matter of personal preference.
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Sena
1 months ago
D) Deep Learning Service DLS could be beneficial for more advanced predictive analytics.
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Chan
1 months ago
C) Graph Engine Service GES might be useful for visualizing complex relationships in sales data.
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Izetta
1 months ago
B) I think Map Reduce service MRS could also be a good choice for analyzing large amounts of data.
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Francesco
2 months ago
A) Machine Learning Service MLS sounds like the best option for sales forecast scenarios.
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Kiera
3 months ago
I wonder if Huawei has a service called 'Slaes Forecast as a Service' - it would be the perfect fit for this scenario!
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Tien
2 months ago
D) Deep Learning Service DLS might provide advanced solutions for sales forecast scenarios.
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Alline
2 months ago
C) Graph Engine Service GES could also be a good option for sales forecast scenarios.
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Merilyn
2 months ago
A) Machine Learning Service MLS would be the most suitable for solving sales forecast scenarios.
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Merilyn
4 months ago
You guys are all forgetting about the Map Reduce service MRS. It's great for processing large volumes of sales data in a distributed and scalable way.
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Stefania
2 months ago
Map Reduce service MRS is definitely a strong contender for handling large volumes of sales data efficiently.
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Albina
3 months ago
Deep Learning Service DLS could provide more advanced insights into sales trends and patterns.
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Arthur
3 months ago
Graph Engine Service GES might also be useful for analyzing sales data in a graphical format.
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Kirk
3 months ago
I think Machine Learning Service MLS could also be a good option for sales forecast scenarios.
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Annmarie
4 months ago
Hold on, I think the Deep Learning Service DLS could be a powerful tool for sales forecasting. It can handle more complex and non-linear patterns in the data.
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Ashlee
3 months ago
I think Machine Learning Service MLS could also be a good option for sales forecasting scenarios.
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Sarah
3 months ago
I agree, the Deep Learning Service DLS is great for handling complex patterns in data.
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Mari
4 months ago
I believe Graph Engine Service GES could also be useful for visualizing sales data and identifying patterns.
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Aretha
4 months ago
I'm not so sure about that. The Graph Engine Service GES might be a better fit for analyzing complex relationships and patterns in sales data.
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Latonia
4 months ago
I think the Machine Learning Service MLS would be the most suitable for sales forecast scenarios. It has a wide range of machine learning algorithms and models that can be used for time series forecasting.
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Ahmad
3 months ago
Map Reduce service MRS could help with processing large amounts of sales data efficiently.
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Pura
3 months ago
Deep Learning Service DLS might be able to provide more accurate predictions for sales forecasting.
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Kent
3 months ago
I think Graph Engine Service GES could also be useful for analyzing complex relationships in sales data.
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Orville
3 months ago
I agree, Machine Learning Service MLS is definitely the best choice for sales forecast scenarios.
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Makeda
4 months ago
I agree with Carrol, MLS can analyze historical data and predict future sales trends accurately.
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Carrol
4 months ago
I think the most suitable service for sales forecast scenarios is Machine Learning Service MLS.
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