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NEW QUESTION: 1
You are developing a Docker/Go using Azure App Service Web App for Containers. You plan to run the container in an App Service on Linux. You identify a Docker container image to use.
None of your current resource groups reside in a location that supports Linux. You must minimize the number of resource groups. You need to create the application and perform an initial deployment required.
Which three Azure CLI commands should you use to develop the solution? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation
az group create
az appservice plan create
az webapp create

NEW QUESTION: 2
Which two statements describe BGP attributes? (Choose two.)
A. BGP attributes help determine the best path to a destination.
B. BGP attributes are always optional.
C. The AS path attribute indicates the autonomous systems through which the route has traversed.
D. The origin attribute indicates the autonomous systems through which the route has traversed.
Answer: A,C

NEW QUESTION: 3
企業は複数のWebサイトからクリックストリームデータをキャプチャし、バッチ処理を使用してそれを分析します。データは毎晩Amazon Redshiftに読み込まれ、ビジネスアナリストによって使用されます。同社は、タイムリーな洞察を得るために、ほぼリアルタイムのデータ処理に移行したいと考えています。このソリューションでは、最小限の労力と運用オーバーヘッドでストリーミングデータを処理する必要があります。
このソリューションで最も費用効果の高いAWSサービスの組み合わせはどれですか？ （2つ選択してください。）
A. Amazon EC2
B. AWS Lambda
C. Amazon Kinesis Data Streams
D. Amazon Kinesis Data Analytics
E. Amazon Kinesis Data Firehose
Answer: B,E
Explanation:
Explanation
Kinesis Data Streams and Kinesis Client Library (KCL) - Data from the data source can be continuously captured and streamed in near real-time using Kinesis Data Streams.
With the Kinesis Client Library (KCL), you can build your own application that can preprocess the streaming data as they arrive and emit the data for generating incremental views and downstream analysis.
Kinesis Data Analytics - This service provides the easiest way to process the data that is streaming through Kinesis Data Stream or Kinesis Data Firehose using SQL. This enables customers to gain actionable insight in near real-time from the incremental stream before storing it in Amazon S3.

https://d1.awsstatic.com/whitepapers/lambda-architecure-on-for-batch-aws.pdf

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