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NEW QUESTION: 1
What are three features of Chatter? (Choose three.)
A. Recommendations
B. Bookmarks
C. Notes
D. feeds
E. Events
Answer: A,B,D
NEW QUESTION: 2
Net credit sales total $355,000. The beginning accounts receivable balance was $15,000 and the ending accounts receivable balance is currently $21,000. Assuming a 365-day year, what is the average number of days required to collect accounts receivable?
A 17 55
B. 18.51
C. 19.72
Answer:
Explanation:
B
Explanation: The average number of days required to collect accounts receivable is determined by dividing 365 (days) by the turnover rate. The turnover rate is $355,000/$18,000 = 19.72. When 365 days is divided by 19.72, the average number of days for collections (365 days/19.72) equals 18.51 days.
NEW QUESTION: 3
A. HPFS
B. FAT32
C. CDFS
D. NTFS
Answer: C
NEW QUESTION: 4
5つの言語をサポートするボットを作成する予定です。ボットは、3つの異なる国にいるユーザーによって使用されます。ボットは、一般的な顧客の質問に答えます。ボットは、言語理解（LUIS）を使用して、使用するスキルを識別し、顧客の言語を検出します。
計画されたボット用に作成する必要があるAzureリソースの最小数を特定する必要があります。
QnA Maker、LUIS、および言語検出のインスタンスをいくつ作成する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
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-detection