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NEW QUESTION: 1
Refer to the exhibit if R1 is acting as a DHCP server ,What action can you take to enable the pc to receive an ip address assignment from the DHCP server ?
A. Configure DHCP option 150 on R2
B. Configure the ip local pool command on R1
C. Configure the IP helper-address command on R2 to use R1's ip address
D. Configure the IP local pool command on R2
E. Configure the IP helper-address command on R1 to use R2's ip address
F. Configuration DHCP option 82 on R1
Answer: C
NEW QUESTION: 2
What type of token does not have a TTL (time to live)?
A. child tokens
B. parent tokens
C. expired tokens
D. root tokens
E. default tokens
F. user tokens
Answer: D
Explanation:
Non-root tokens are associated with a TTL, which determines how long a token is valid. Root tokens are not associated with a TTL, and therefore, do not expire.
Root tokens are tokens that have the root policy attached to them. They are the only type of token within Vault that are not associated with a TTL, and therefore, do not expire.
NEW QUESTION: 3
You are developing a SQL Server Analysis Services (SSAS) multidimensional project that is configured to source data from a SQL Azure database. The cube is processed each night at midnight. The largest partition in the cube takes 12 hours to process, and users are unable to access the cube until noon. The partition must be available for querying as soon as possible after processing commences. You need to ensure that the partition is available for querying as soon as possible, without using source data to satisfy the query. Which three actions should you perform in sequence?
(To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)
Select and Place:
Answer:
Explanation:
Explanation/Reference:
http://www.mssqltips.com/sqlservertip/1563/how-to-implement-proactive-caching-in-sql-server-analysisservices-ssas/
NEW QUESTION: 4
インターネット経由で学生を訓練する教師にフィードバックを提供するAIソリューションを設計しています。
生徒は遠隔地にある教室にいます。このソリューションは、教室の生徒のビデオおよび音声データをキャプチャします。
次の要件を満たすには、AIソリューションにAzure Cognitive Servicesを推奨する必要があります。
生徒の表情が、生徒が怒っているか怖いことを示している場合は、教師に警告します。
出席のために教室内の各生徒を特定します。
教師が音声会話をテキストとして記録できるようにします。
どのCognitive Servicesをお勧めしますか?
A. Speech to Text and Face API
B. QnA Maker and Computer Vision
C. Face API and Text Analytics
D. Computer Vision and Text Analytics
Answer: A
Explanation:
Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input.
Face detection: Detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes which contain machine learning-based predictions of facial features. The face attribute features available are: Age, Emotion, Gender, Pose, Smile, and Facial Hair along with 27 landmarks for each face in the image.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text
https://azure.microsoft.com/en-us/services/cognitive-services/face/
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