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NEW QUESTION: 1
This is an example of
A. Point and figure chart.
B. Candlestick chart.
C. Bar chart.
Answer: A
NEW QUESTION: 2
You have a web application leveraging an Elastic Load Balancer (ELB). In front of the web servers deployed using an Auto Scaling Group Your database is running on Relational Database Service (RDS) The application serves out technical articles and responses to them in general there are more views of an article than there are responses to the article. On occasion, an article on the site becomes extremely popular resulting in significant traffic increases that causes the site to go down.
What could you do to help alleviate the pressure on the infrastructure while maintaining availability during these events? (Choose three.)
A. Leverage ElastiCache for caching the most frequently used data.
B. Leverage CloudFront for the delivery of the articles.
C. Use Route53 health checks to fail over to an S3 bucket for an error page.
D. Add RDS read-replicas for the read traffic going to your relational database
E. Use SOS to queue up the requests for the technical posts and deliver them out of the queue.
Answer: A,B,D
Explanation:
Explanation
E is wrong, we are not using multiple regions, Route53 ELB-failvoer is not required.D is wrong, SQS will only add to the strain on the server, and is not useful in this situation.
A is correct, as you can have users read from edge locationsB is correct, as you can service reads with read-replicasC is correct, Elasticache would assist in this situation.
NEW QUESTION: 3
DevOpsエンジニアは、スケーラブルな3層Node.jsアプリケーションをAWSにデプロイする必要があります。アプリケーションは、展開中のダウンタイムがゼロであり、以前のバージョンにロールバックできる必要があります。他のアプリケーションも同じMySQLバックエンドデータベースに接続します。
CIOは、ロギングに関する次のガイダンスを提供しています。
*現在のすべてのWebアクセスサーバーログを一元的に表示します。
* Webおよびアプリケーションログをほぼリアルタイムで検索およびフィルタリングします。
*ログデータを3か月間保持します。
これらの要件はどのように満たされるべきですか？
A. Amazon EC2にアプリケーションをデプロイします。 Elastic Load BalancingおよびAuto Scalingを構成します。データベース層にAmazon RDS MySQLインスタンスを使用します。 Amazon S3にログファイルを保存するようにアプリケーションを構成します。 Amazon EMRを使用して、データを検索およびフィルターします。 Amazon S3ライフサイクルルールを設定して、90日後にオブジェクトを期限切れにします。
B. AWS Elastic Beanstalkを使用してアプリケーションをデプロイします。 Elastic Load BalancingおよびAuto Scalingの環境タイプを設定します。 Elastic Beanstalkスタック内にAmazon RDS MySQLインスタンスを作成します。ログをAmazon CloudWatch LogsにストリーミングするようにElastic Beanstalkログオプションを設定します。保持を90日に設定します。
C. AWS Elastic Beanstalkを使用してアプリケーションをデプロイします。 Elastic Load BalancingおよびAuto Scalingの環境タイプを設定します。 Elastic Beanstalkスタックの外側にAmazon RDS MySQLインスタンスを作成します。ログをAmazon CloudWatch LogsにストリーミングするようにElastic Beanstalkログオプションを設定します。保持を90日に設定します。
D. Amazon EC2にアプリケーションをデプロイします。 Elastic Load BalancingおよびAuto Scalingを構成します。データベース層にAmazon RDS MySQLインスタンスを使用します。 Amazon Kinesis Data Firehouseを使用してストリーミングログデータをAmazon ESにロードするようにアプリケーションを構成します。 90日ごとに新しいAmazon ESドメインを削除して作成します。
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-debugging.html
NEW QUESTION: 4
Answer:
Explanation:
Please see explanation
Explanation
1 SELECT avg (normalizedreading) as AverageReading, location as Mountain
2 FROM GroundSensors
3 WHERE normalizedreading is not null
Note: On line 1 change to AverageReading and change to Mountain.