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NEW QUESTION: 1
한 제조 회사에서 기계 장비에 대한 예측 유지 관리를 구현하려고 합니다.
이 회사는 실시간으로 데이터를 AWS로 전송하는 수천 개의 loT 센서를 설치할 것입니다.
솔루션 아키텍트는 각 기계 자산에 대해 정렬 된 방식으로 이벤트를 수신하고 나중에 추가 처리를 위해 데이터가 저장되도록 하는 솔루션을 구현해야 합니다.
어떤 솔루션이 가장 효율적일까요?
A. Amazon SQS FIFO 대기열을 사용하여 실시간 이벤트에 각 장비 자산에 대해 하나의 대기열을 사용합니다.
SQS 대기열에 대한 AWS Lambda 함수를 트리거하여 Amazon EFS에 데이터를 저장합니다.
B. 각 장비 자산에 대한 샤드가 있는 실시간 이벤트에 Amazon Kinesis Data Streams를 사용합니다.
Amazon Kinesis Data Firehose를 사용하여 Amazon EBS에 데이터를 저장합니다.
C. 각 장비 자산에 대한 파티션이 있는 실시간 이벤트에 Amazon Kinesis Data Streams를 사용합니다.
Amazon Kinesis Data Firehose를 사용하여 Amazon S3에 데이터를 저장합니다.
D. 각 장비 자산에 대해 하나의 대기열이있는 실시간 이벤트에 Amazon SQS 표준 대기열을 사용합니다.
SQS 대기열에서 AWS Lambda 함수를 트리거하여 Amazon S3에 데이터를 저장합니다.
Answer: C
Explanation:
Amazon Kinesis Data Streams collect and process data in real time. A Kinesis data stream is a set of shards. Each shard has a sequence of data records. Each data record has a sequence number that is assigned by Kinesis Data Streams. A shard is a uniquely identified sequence of data records in a stream.
A partition key is used to group data by shard within a stream. Kinesis Data Streams segregates the data records belonging to a stream into multiple shards. It uses the partition key that is associated with each data record to determine which shard a given data record belongs to.

For this scenario, the solutions architect can use a partition key for each device. This will ensure the records for that device are grouped by shard and the shard will ensure ordering. Amazon S3 is a valid destination for saving the data records.
CORRECT: "Use Amazon Kinesis Data Streams for real-time events with a partition key for each device. Use Amazon Kinesis Data Firehose to save data to Amazon S3" is the correct answer.
INCORRECT: "Use Amazon Kinesis Data Streams for real-time events with a shard for each device. Use Amazon Kinesis Data Firehose to save data to Amazon EBS" is incorrect as you cannot save data to EBS from Kinesis.
INCORRECT: "Use an Amazon SQS FIFO queue for real-time events with one queue for each device. Trigger an AWS Lambda function for the SQS queue to save data to Amazon EFS" is incorrect as SQS is not the most efficient service for streaming, real time data.
INCORRECT: "Use an Amazon SQS standard queue for real-time events with one queue for each device. Trigger an AWS Lambda function from the SQS queue to save data to Amazon S3" is incorrect as SQS is not the most efficient service for streaming, real time data.
References:
https://docs.aws.amazon.com/streams/latest/dev/key-concepts.html

NEW QUESTION: 2
プロジェクト内にApp Engineアプリケーションを含むGoogle Cloud Platformプロジェクトを作成しました。最初に、アプリケーションをus-centralリージョンから提供されるように構成しました。次に、asia-northeast1リージョンからアプリケーションを提供したいとします。あなたは何をするべきか？
A. 既存のGCPプロジェクトに2つ目のApp Engineアプリケーションを作成し、アプリケーションを提供するリージョンとしてasia-northeast1を指定します。
B. 既存のGCPプロジェクトのデフォルトのリージョンプロパティ設定をasia-northeast1に変更します。
C. 既存のApp Engineアプリケーションのリージョンプロパティ設定をus-centralからasia-northeast1に変更します。
D. 新しいGCPプロジェクトを作成し、この新しいプロジェクト内にApp Engineアプリケーションを作成します。アプリケーションを提供するリージョンとしてasia-northeast1を指定します。
Answer: A

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure subscription named Subscription1. You sign in to the Azure portal and create a resource group named RG1.
From Azure documentation, you have the following command that creates a virtual machine named VM1.
az vm create --resource-group RG1 --name VM1 -- image
UbuntuLTS --generate-ssh-keys
You need to create VM1 in Subscription1 by using the command.
Solution: From a computer that runs Windows 10, install Azure CLI. From a command prompt, sign in to Azure and then run the command.
Does this meet the goal?
A. Yes
B. No
Answer: B