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NEW QUESTION: 1
고객이 Amazon S3를 독점적으로 데이터 스토어로 사용하는 애플리케이션을 작성했습니다.
고객이 응용 프로그램이 정보를 업데이트하는 속도를 높일 때까지 응용 프로그램이 제대로 작동합니다. 고객은 이제 애플리케이션이 Amazon S3의 객체에 액세스 할 때 오래된 데이터가 가끔 나타난다고 보고합니다.
응용 프로그램 논리가 정확하다면 무엇이 문제가 될 수 있습니까?
A. 응용 프로그램이 동일한 키로 기존 개체를 덮어 써서 레코드를 업데이트하고 있습니다.
B. 애플리케이션이 범위 헤더를 사용하여 Amazon S3에서 객체의 일부를 읽습니다.
C. 응용 프로그램이 고유 키로 새 개체를 작성하여 레코드를 업데이트하고 있습니다.
D. 애플리케이션이 병렬 객체 요청을 사용하여 Amazon S3에서 객체를 읽고 있습니다.
Answer: A
NEW QUESTION: 2
Profitsという名のテーブルは、領土内の各年製総利益を格納します。利益テーブルにはテリトリー、年および利益という名のカラムがあります。毎年およびその前の年の間各領域によって得られた利益を表示するレポートを作成する必要があります。 どのTransact-SQLクエリを使うべきでしょうか。
A. SELECT Territory, Year, Profit, LAG(Profit, 1, 0) OVER (PARTITION BY Territory
ORDER BY Year) AS PreviousYearProfit FROM Profits
B. SELECT Territory, Year, Profit, LEAD(Profit, 1, 0) OVER (PARTITION BY Territory
ORDER BY Year) AS PreviousYearProfit FROM Profits
C. SELECT Territory, Year, Profit, LEAD(Profit, 1, 0) OVER (PARTITION BY Year ORDER
BY Territory) AS PreviousYearProfit FROM Profits
D. SELECT Territory, Year, Profit, LAG(Profit, 1, 0) OVER (PARTITION BY Year ORDER
BY Territory) AS PreviousYearProfit FROM Profits
Answer: A
Explanation:
LAG accesses data from a previous row in the same result set without the use of a self-join in SQL Server 2016. LAG provides access to a row at a given physical offset that comes before the current row. Usethis analytic function in a SELECT statement to compare values in the current row with values in a previous row.
Use ORDER BY Year, not ORDER BY Territory.
Example: The following example uses the LAG function to return the difference in sales quotas fora specific employee over previous years. Notice that because there is no lag value available for the first row, the default of zero (0) is returned.
USE AdventureWorks2012;
GO
SELECT BusinessEntityID, YEAR(QuotaDate) AS SalesYear, SalesQuota AS CurrentQuota, LAG(SalesQuota, 1,0) OVER (ORDER BY YEAR(QuotaDate)) AS PreviousQuota FROM Sales.SalesPersonQuotaHistory WHERE BusinessEntityID = 275 and YEAR(QuotaDate) IN ('2005','2006');
NEW QUESTION: 3
You plan to create a bot that will support five languages. The bot will be used by users located in three different countries. The bot will answer common customer questions. The bot will use Language Understanding (LUIS) to identify which skill to use and to detect the language of the customer.
You need to identify the minimum number of Azure resources that must be created for the planned bot.
How many QnA Maker, LUIS and Language Detection instances should you create? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
QnA Maker: 5
If the user plans to support multiple languages, they need to have a new QnA Maker resource for each language.
LUIS: 5
If you need a multi-language LUIS client application such as a chatbot, you have a few options. If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores.
Language detection: 1
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. The response also returns a score that reflects the confidence of the model. The score value is between 0 and 1.
The Language Detection feature can detect a wide range of languages, variants, dialects, and some regional or cultural languages. The exact list of languages for this feature isn't published.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language