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NEW QUESTION: 1
Given the following excerpt of a Dockerfile:
Run apt-get -y update && apt-get install -y fortunes && apt-get clean
Why are the multiple apt-get commands combined in one RUN statement instead of using multiple RUN statements?
A. To prevent the commands from running in parallel because Docker executes all RUN statements in their own container at the same time.
B. To execute the apt-get install command only if the apt-get update command was successful because Docker does not check the success of RUN statements.
C. To ensure the execution order of the commands because Docker might evaluate the statements of a Dockerfile in any order.
D. To avoid the creation of unnecessary images because Docker creates a new image for each RUN statement.
E. To execute both commands in the same container instance and void Docker to reset the container to the original base image.
Answer: E

NEW QUESTION: 2
A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events.
The database is unable to scale due to heavy ingestion and it frequently runs out of storage.
The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:
*Managed AWS services to minimize operational complexity.
*A buffer that automatically scales to match the throughput of data and requires no ongoing administration.
*A visualization tool to create dashboards to observe events in near-real time.
*Support for semi-structured JSON data and dynamic schemas.
Which combination of components will enable the company to create a monitoring solution that will satisfy these requirements? (Select TWO.)
A. Create an Amazon Kinesis data stream to buffer events. Create an AWS Lambda function to process and transform events.
B. Configure an Amazon Neptune DB instance to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards.
C. Configure Amazon Elasticsearch Service (Amazon ES) to receive events. Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.
D. Use Amazon Kinesis Data Firehose to buffer events. Create an AWS Lambda function to process and transform events.
E. Configure an Amazon Aurora PostgreSQL DB cluster to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards.
Answer: B,C

NEW QUESTION: 3
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. 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。
B. 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。
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. 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。
Answer: C
Explanation:
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-deploym
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html