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NEW QUESTION: 1
企業が3層アプリケーションをAWSに移行しています。アプリケーションにはMySQLデータベースが必要です。これまで、アプリケーションユーザーは、新しいエントリを作成するときにアプリケーションのパフォーマンスが低いと報告していました。これらのパフォーマンスの問題は、ユーザーが勤務時間中にアプリケーションからさまざまなリアルタイムレポートを生成したことが原因でした。
アプリケーションをAWSに移動すると、アプリケーションのパフォーマンスが向上するのはどのソリューションですか？
A. コンピューティング最適化Amazon EC2インスタンスにデータベースを作成します。コンピューティングリソースがオンプレミスデータベースを超えていることを確認します。
B. Amazon Aurora MySQLマルチAZ DBクラスターを作成します。クラスターのバックアップインスタンスをレポートのエンドポイントとして使用するようにアプリケーションを構成します。
C. 複数のリードレプリカを持つAmazon Aurora MySQLマルチAZ DBクラスターを作成します。レポートのアプリケーションリーダーエンドポイントを構成します。
D. プロビジョニングされた容量でAmazon DynamoDBテーブルにデータをインポートします。レポートにDynamoDBを使用するようにアプリケーションをリファクタリングします。
Answer: C
Explanation:
Amazon RDS Read Replicas Now Support Multi-AZ Deployments
Starting today, Amazon RDS Read Replicas for MySQL and MariaDB now support Multi-AZ deployments. Combining Read Replicas with Multi-AZ enables you to build a resilient disaster recovery strategy and simplify your database engine upgrade process.
Amazon RDS Read Replicas enable you to create one or more read-only copies of your database instance within the same AWS Region or in a different AWS Region. Updates made to the source database are then asynchronously copied to your Read Replicas. In addition to providing scalability for read-heavy workloads, Read Replicas can be promoted to become a standalone database instance when needed.
Amazon RDS Multi-AZ deployments provide enhanced availability for database instances within a single AWS Region. With Multi-AZ, your data is synchronously replicated to a standby in a different Availability Zone (AZ). In the event of an infrastructure failure, Amazon RDS performs an automatic failover to the standby, minimizing disruption to your applications.
You can now use Read Replicas with Multi-AZ as part of a disaster recovery (DR) strategy for your production databases. A well-designed and tested DR plan is critical for maintaining business continuity after a disaster. A Read Replica in a different region than the source database can be used as a standby database and promoted to become the new production database in case of a regional disruption.
You can also combine Read Replicas with Multi-AZ for your database engine upgrade process. You can create a Read Replica of your production database instance and upgrade it to a new database engine version. When the upgrade is complete, you can stop applications, promote the Read Replica to a standalone database instance, and switch over your applications. Since the database instance is already a Multi-AZ deployment, no additional steps are needed.
Overview of Amazon RDS Read Replicas
Deploying one or more read replicas for a given source DB instance might make sense in a variety of scenarios, including the following:
Scaling beyond the compute or I/O capacity of a single DB instance for read-heavy database workloads. You can direct this excess read traffic to one or more read replicas.
Serving read traffic while the source DB instance is unavailable. In some cases, your source DB instance might not be able to take I/O requests, for example due to I/O suspension for backups or scheduled maintenance. In these cases, you can direct read traffic to your read replicas. For this use case, keep in mind that the data on the read replica might be "stale" because the source DB instance is unavailable.
Business reporting or data warehousing scenarios where you might want business reporting queries to run against a read replica, rather than your primary, production DB instance.
Implementing disaster recovery. You can promote a read replica to a standalone instance as a disaster recovery solution if the source DB instance fails.
https://aws.amazon.com/about-aws/whats-new/2018/01/amazon-rds-read-replicas-now-support-multi-az-deployments/
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html
NEW QUESTION: 2
HOTSPOT
You have a database Ihat includes a table named dbo.sales. The table contains two billion rows. You created the table by running the following Transact-SQL statement:
You run the following queries against the dbo.sales table. All of the queries perform poorly.
The ETL process that populates the table uses bulk insert to load 10 million rows each day.
The process currently takes six hours to load the records.
The value of the Refund column is equal to 1 for only 0.01 percent of the rows in the table.
For all other rows, the value of the Refund column is equal to 0.
You need to maximize the performance of queries and the ETL process.
Which index type should you use for each query? To answer, select the appropriate index types in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION: 3
最近のセキュリティインシデントの調査により、根本原因はシステム管理者によるインシデントアラートの不注意な処理であることが判明しました。この問題に対処するために、情報セキュリティ管理のための最良の方法は何ですか？
A. データカストディアンにインシデント対応トレーニングを提供しています。
B. 行動リスク評価とシェア上級管理職との結果。
C. データの所有者にインシデント対応トレーニングを提供しています。
D. ビジネスプロセスに合わせて改訂インシデント対応計画。
Answer: B