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NEW QUESTION: 1
다음 중 고객 서비스 데이터 수집을 위한 방법이 아닌 것은 무엇입니까?
A. 고객 설문 조사.
B. 내부 설문 조사.
C. 불만 사항 분석.
D. 고객 방문.
Answer: B

NEW QUESTION: 2
You have a website that includes a form for usemame and password.
You need to ensure that users enter their username and password. The validation must work in all browsers.
Where should you put the validation control?
A. in the Web.config file
B. in both the client-side code and the server-side code
C. in the server-side code only
D. in the client-side code only
Answer: B
Explanation:
From version 2.0 on, ASP.NET recognized the JavaScript capabilities of these browsers, so client-side validation is now available to all modern browsers, including Opera, Firefox, and others. Support is even better now in ASP.NET 4.0. That said, it's important not to forget that JavaScript can be disabled in any browser, so client-side validation cannot be relied upon-we must always validate any submitted data on the server.

NEW QUESTION: 3
You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.
You have the following requirements:
* Models must be built using Caffe2 or Chainer frameworks.
* Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments.
* Personal devices must support updating machine learning pipelines when connected to a network.
You need to select a data science environment.
Which environment should you use?
A. Azure Machine Learning Service
B. Azure Databricks
C. Azure Kubernetes Service (AKS)
D. Azure Machine Learning Studio
Answer: A
Explanation:
The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft's Azure cloud built specifically for doing data science. Caffe2 and Chainer are supported by DSVM.
DSVM integrates with Azure Machine Learning.
Incorrect Answers:
B: Use Machine Learning Studio when you want to experiment with machine learning models quickly and easily, and the built-in machine learning algorithms are sufficient for your solutions.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview