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NEW QUESTION: 1
귀사는 Amazon Web Services (AWS)에서 대규모 기부 웹 사이트를 호스팅 할 계획입니다. 많은 데이터베이스 쓰기를 생성 할 대량의 결정되지 않은 트래픽이 예상됩니다. AWS에서 호스팅되는 데이터베이스에 대한 쓰기를 삭제하지 않도록 하십시오.
어떤 서비스를 사용해야 합니까?
A. 쓰기가 데이터베이스에 커밋 될 때까지 쓰기를 저장하는 Amazon ElastiCache
B. 쓰기를 캡처하고 데이터베이스에 쓰기 위해 큐를 비우기위한 Amazon Simple Queue Service (SQS).
C. 예상 최대 쓰기 처리량까지 프로비저닝 된 IOPS를 갖춘 Amazon RDS.
D. 예상 최대 쓰기 처리량까지 프로비저닝 된 쓰기 처리량을 갖춘 Amazon DynamoDB.
Answer: B
Explanation:
설명
Amazon SQS (Amazon Simple Queue Service)는 메시지가 컴퓨터간에 이동할 때 메시지를 저장하기 위한 안정적이고 확장 성이 뛰어난 호스팅 대기열을 제공합니다. Amazon SQS를 사용하면 개발자는 메시지를 잃거나 각 구성 요소를 항상 사용할 수 있도록 요구하지 않고 다른 작업을 수행하는 분산 애플리케이션 구성 요소간에 데이터를 간단히 이동할 수 있습니다. Amazon SQS를 사용하면 Amazon Elastic Compute Cloud (Amazon EC2) 및 기타 AWS 인프라 웹 서비스와 긴밀하게 연동하여 분산되고 분리 된 애플리케이션을 쉽게 구축 할 수 있습니다.
Amazon SQS로 무엇을 할 수 있습니까?
Amazon SQS는 컴퓨터가 메시지를 처리하는 동안 메시지를 저장하는 데 사용할 수있는 메시지 대기열에 액세스 할 수있는 웹 서비스입니다. 이를 통해 인터넷의 모든 컴퓨터에서 실행할 수있는 메시지 큐 응용 프로그램을 빠르게 작성할 수 있습니다. Amazon SQS는 확장 성이 뛰어나고 사용한만큼만 비용을 지불하므로 성능이나 안정성에 영향을주지 않으면 서 소규모로 시작하여 원하는대로 애플리케이션을 확장 할 수 있습니다. 이를 통해 메시지 저장 및 관리 방법에 대한 걱정없이 정교한 메시지 기반 응용 프로그램을 작성하는 데 집중할 수 있습니다. Amazon SQS는 다양한 방식으로 소프트웨어 애플리케이션과 함께 사용할 수 있습니다. 예를 들어 다음을 수행 할 수 있습니다.
Amazon SQS를 다른 AWS 인프라 웹 서비스와 통합하여 애플리케이션의 안정성과 유연성을 향상시킵니다.
Amazon SQS를 사용하여 각 메시지가 프로세스에 의해 완료되어야하는 작업 인 작업 대기열을 생성하십시오. 하나 이상의 컴퓨터가 대기열에서 작업을 읽고 수행 할 수 있습니다.
큐를 사용하여 마이크로 서비스를 연결하여 마이크로 서비스 아키텍처를 빌드하십시오.
Amazon SQS 대기열의 비즈니스 프로세스에서 중요한 이벤트에 대한 알림을 유지합니다. 각 이벤트는 큐에 해당 메시지를 가질 수 있으며 이벤트를 인식해야하는 응용 프로그램은 메시지를 읽고 처리 할 수 있습니다.

NEW QUESTION: 2
米国（US）に本部があり、フランスに支店がある国際的な医療機関は、両方の国で薬をテストしたいと考えています。 組織は被験者のデータに対して何を許可していますか？
A. 米国内の1つのデータベースに集約する
B. アメリカで処理しますが、情報はフランスに保存します
C. 第三者と共有する
D. 匿名化して米国で処理する
Answer: C
Explanation:
Explanation
Section: Security Assessment and Testing

NEW QUESTION: 3
Sie haben einen Microsoft 365-Mandanten.
Sie erstellen ein Aufbewahrungsetikett wie in der Ausstellung Aufbewahrungsetikett gezeigt. (Klicken Sie auf die Registerkarte Retention Label.)

Sie erstellen eine Beschriftungsrichtlinie, wie im Anhang zur Beschriftungsrichtlinie gezeigt. (Klicken Sie auf die Registerkarte Label Policy.)

Die Beschriftungsrichtlinie ist wie in der folgenden Tabelle gezeigt konfiguriert.

Wählen Sie für jede der folgenden Anweisungen Ja aus, wenn die Anweisung wahr ist. Andernfalls wählen Sie Nein.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/office365/securitycompliance/retention-policies

NEW QUESTION: 4
You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make
debugging any part of your entire operation simpler and as fast as possible. She complains that she has
no idea what is going on in the complex, service-oriented architecture, because the developers just log to
disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement
and satisfy your CTO?
A. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the <code>PutBucket</code> event and publish events to AWS Kinesis. Use Apache Spark on AWS
EMR to perform at-scale stream processing queries on the log chunks and flag issues.
B. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the <code>PutBucket</code> event and publish events to AWS Lambda. Use the Lambda to analyze
logs as soon as they come in and flag issues.
C. Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elasticsearch
Service Domain running Kibana 4 and perform log analysis on a search cluster.
D. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS
EMR cluster jobs to perform ad-hoc MapReduce analysis and write new queries when needed.
Answer: C
Explanation:
The Elasticsearch and Kibana 4 combination is called the ELK Stack, and is designed specifically for
real-time, ad-hoc log analysis and aggregation. All other answers introduce extra delay or require
pre-defined queries.
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale
Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for
use cases such as log analytics, real-time application monitoring, and click stream analytics.
Reference: https://aws.amazon.com/elasticsearch-service/