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NEW QUESTION: 1
제조 회사는 고객 사이트에서 실행되는 컴퓨터에서 데이터를 캡처합니다. 현재 수천 대의 컴퓨터가 5 분마다 데이터를 전송하므로 가까운 시일 내에 수십만 대의 컴퓨터로 확장 될 것으로 예상됩니다. 필요한 경우 나중에 분석 할 의도로 데이터가 기록됩니다.
이 스트리밍 데이터를 대규모로 저장하는 SIMPLEST 방법은 무엇입니까?
A. Amazon Kinesis Firehouse 전송 스트림을 생성하여 Amazon S3에 데이터를 저장합니다.
B. ELB 뒤에 Amazon EC2 서버 팜을 생성하여 Amazon EBS Cold FIDD 볼륨에 데이터를 저장합니다.
C. ELB 뒤에 Amazon EC2 서버의 Auto Scaling 그룹을 만들어 데이터를 Amazon RDS에 씁니다.
D. Amazon SQS 대기열을 생성하고 머신이 대기열에 쓰도록 합니다.
Answer: A
Explanation:
Explanation
What Is Amazon Kinesis Data Firehose?
Amazon Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. Kinesis Data Firehose is part of the Kinesis streaming data platform, along with Kinesis Data Streams, Kinesis Video Streams, and Amazon Kinesis Data Analytics. With Kinesis Data Firehose, you don't need to write applications or manage resources. You configure your data producers to send data to Kinesis Data Firehose, and it automatically delivers the data to the destination that you specified. You can also configure Kinesis Data Firehose to transform your data before delivering it

NEW QUESTION: 2
온-프레미스 데이터베이스에서 SQL 쿼리를 실행할 때 심각한 성능 문제가 발생합니다. 사용자가 10 명이면 조회가 예상대로 수행됩니다. 사용자 수가 증가함에 따라 조회는 응용 프로그램에 값을 반환하는데 예상보다 3 배 더 오래 걸립니다.
사용자 수가 증가함에 따라 솔루션 아키텍트는 어떤 성능을 유지하기 위해 취해야 합니까?
A. 다중 AZ RDS MySQL 배포
B. MySQL에서 RDS Microsoft SQL Server로 마이그레이션하십시오.
C. Amazon SQS를 사용하십시오.
D. 추가 읽기 전용 복제본으로 Amazon RDS를 구성하십시오.
Answer: D
Explanation:
Multi-AZ is mainly for DR in case of failure while read replicas are mainly to improve performance.

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.
Your network contains an Active Directory domain named contoso.com. The domain contains a server named Server1 that runs Windows Server 2016. The computer account for Server1 is in organizational unit (OU) named OU1.
You create a Group Policy object (GPO) named GPO1 and link GPO1 to OU1.
You need to add a domain user named User1 to the local Administrators group on Server1.
Solution: From a domain controller, you run the Set-AdComputer cmdlet.
Does this meet the goal?
A. No
B. Yes
Answer: A

NEW QUESTION: 4
企業は、毎日100,000のソースから1,000万のデータレコードの安定したストリームを収集します。これらのレコードは、Amazon RDS MySQL DBに書き込まれます。クエリは、過去30日間のデータソースの1日の平均を生成する必要があります。読み取りは書き込みの2倍あります。収集されたデータへのクエリは、一度に1つのソースIDに対して行われます。
ソリューションアーキテクトは、このソリューションの信頼性と費用対効果をどのように改善できますか?
A. パーティションキーとしてソースIDを使用してAmazon DynamoDBを使用します。毎日異なるテーブルを使用してください。
B. 30日間の保持期間を使用してAmazon Kinesisにデータを取り込みます。 AWS Lambdaを使用して、データレコードを読み取りアクセス用にAmazon ElastiCacheに書き込みます。
C. MySQLでAmazon AuroraをマルチAZモードで使用します。追加の4つのリードレプリカを使用します。
D. ソースIDをパーティションキーとして、タイムスタンプをソートキーとしてAmazon DynamoDBを使用します。 Time to Live(TTL)を使用して、30日後にデータを削除します。
Answer: D
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html

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