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NEW QUESTION: 1
You create an Azure Storage account named contosostorage.
You plan to create a file share named data.
Users need to map a drive to the data file share from home computers that run Windows 10.
Which port should be open between the home computers and the data file share?
A. 0
B. 1
C. 2
D. 3
Answer: D
Explanation:
Explanation
Ensure port 445 is open: The SMB protocol requires TCP port 445 to be open; connections will fail if port 445 is blocked.
References: https://docs.microsoft.com/en-us/azure/storage/files/storage-how-to-use-files-windows

NEW QUESTION: 2
What are the 2 main corposants of the ITS
A. Transfer gate
B. Application gate
C. Web gate
Answer: B,C

NEW QUESTION: 3
Which choice below is NOT an example of the appropriate external distribution of classified information?
A. Upon senior-level approval after a confidentiality agreement
B. To influence the value of the company's stock price
C. Compliance with a court order
D. IAW contract procurement agreements for a government project
Answer: B
Explanation:
The correct answer is "To influence the value of the company's stock price". Answers
"Compliance with a court order", "Upon senior-level approval after a confidentiality agreement", and "IAW contract procurement agreements for a government project" are all examples of the need for possible external distribution of internal classified information.

NEW QUESTION: 4
You are building a multilingual chatbot.
You need to send a different answer for positive and negative messages.
Which two Text Analytics APIs should you use? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.
A. Detect Language
B. Named Entity Recognition
C. Key Phrases
D. Sentiment Analysis
E. Linked entities from a well-known knowledge base
Answer: A,D
Explanation:
B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the sentence and document-level.
D: 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. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- sentiment-analysis?tabs=version-3-1
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- language-detection

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