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NEW QUESTION: 1
How should you complete the GROUP BY clause to meet the Streaming Analytics requirements?
A. GROUP BY HoppingWindow(Second, 60, 30)
B. GROUP BY SlidingWindow(Second, 30)
C. GROUP BY TumblingWindow(Second, 30)
D. GROUP BY SessionWindow(Second, 30, 60)
Answer: C
Explanation:
Scenario: You plan to use a 30-second period to calculate the average temperature reading of the sensors.
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
InAnswers:
A: Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

NEW QUESTION: 2
You work as the developer in an IT company. Recently your company has a big customer. The customer is a hosting company. You're appointed to provide technical support for the customer. The hosting company has server which is named server1. You are deploying a Web site to server1. You can only access the server through FTP. Now according to requirement of the customer, you have to precompile and deploy the Web site without its source files. What should you do?
A. You should use the Web Setup project Installer.
B. You should use XCOPY.
C. You should use the Publish Web tool.
D. You should use the Copy Web tool.
Answer: C

NEW QUESTION: 3

A. Option B
B. Option D
C. Option E
D. Option C
E. Option A
Answer: A,E

NEW QUESTION: 4
참고 :이 질문은 동일한 시나리오를 제시하는 일련의 질문 중 일부입니다. 시리즈의 각 질문에는 명시된 목표를 달성 할 수 있는 고유 한 솔루션이 포함되어 있습니다. 일부 질문 세트에는 하나 이상의 올바른 해결책이 있을 수 있지만 다른 질문 세트에는 올바른 해결책이 없을 수 있습니다.
이 질문에 답한 후에는 다시 돌아올 수 없습니다. 결과적으로 이러한 질문은 검토 화면에 나타나지 않습니다.
Margie 's Travel은 국제 여행 및 예약 관리 서비스입니다. 회사는 레스토랑 예약으로 확장하고 있습니다. 해당 솔루션에 나열된 레스토랑에 대해 Azure Search를 구현해야 합니다.
Azure Search에서 색인을 생성합니다.
Azure Search .NET SDK를 사용하여 레스토랑 데이터를 Azure Search 서비스로 가져와야 합니다.
해결책:
1. 검색 인덱스에 연결할 SearchIndexClient 객체를 만듭니다.
2. 추가해야 하는 문서가 포함 된 DataContainer를 만듭니다.
3. DataSource 인스턴스를 만들고 해당 Container 속성을 DataContainer로 설정합니다.
4. SearchIndexClient의 Documents.Suggest 메서드를 호출하고 DataSource를 전달합니다.
솔루션이 목표를 달성합니까?
A. 예
B. 아니오
Answer: B
Explanation:
Use the following method:
- Create a SearchIndexClient object to connect to the search index
- Create an IndexBatch that contains the documents which must be added.
- Call the Documents.Index method of the SearchIndexClient and pass the IndexBatch.
References:
https://docs.microsoft.com/en-us/azure/search/search-howto-dotnet-sdk