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NEW QUESTION: 1

Simple Queue Service（SQS）を使用してバッチプロセッサとして使用されるEC2インスタンス間にメッセージキューを設定するバッチ処理ソリューションのアーキテクチャ図を参照してください。Cloud Watchはジョブリクエスト（キューメッセージ）とAuto Scalingグループの数を監視しますCloud Watchアラームで設定されたパラメータに基づいて、バッチサーバーを自動的に追加または削除します。
このアーキテクチャを使用して、費用対効果が高く効率的な方法で次の機能のどれを実装できますか？
A. メッセージを受信するビジー状態のEC2インスタンスがデイジーチェーン設定で次のインスタンスに渡すことができるようにすることで、並列処理によってジョブを実行するための総時間を短縮します。
B. SQSを介してメッセージを交換することにより、バッチ内でEC2インスタンス間のメッセージ受け渡しを実装する。
C. メッセージはSQSに残り、消耗する可能性があるため、EC2インスタンスの障害に対するフォールトトレランスを実装することで、メッセージをS3にバックアップすることでSQS障害に対するフォールトトレランスを実装できます。
D. EC2インスタンスの数とジョブ要求の数を自動的に調整して、費用対効果を向上させる。
E. 優先順位の高いメタデータフィールドをSQSメッセージに割り当てることで、優先順位の低いジョブよりも優先順位の高いジョブを処理します。
Answer: D
Explanation:
Explanation
There are cases where a large number of batch jobs may need processing, and where the jobs may need to be re-prioritized.
For example, one such case is one where there are differences between different levels of services for unpaid users versus subscriber users (such as the time until publication) in services enabling, for example, presentation files to be uploaded for publication from a web browser. When the user uploads a presentation file, the conversion processes, for example, for publication are performed as batch processes on the system side, and the file is published after the conversion. Is it then necessary to be able to assign the level of priority to the batch processes for each type of subscriber?
Explanation of the Cloud Solution/Pattern
A queue is used in controlling batch jobs. The queue need only be provided with priority numbers. Job requests are controlled by the queue, and the job requests in the queue are processed by a batch server. In Cloud computing, a highly reliable queue is provided as a service, which you can use to structure a highly reliable batch system with ease. You may prepare multiple queues depending on priority levels, with job requests put into the queues depending on their priority levels, to apply prioritization to batch processes. The performance (number) of batch servers corresponding to a queue must be in accordance with the priority level thereof.
Implementation
In AWS, the queue service is the Simple Queue Service (SQS). Multiple SQS queues may be prepared to prepare queues for individual priority levels (with a priority queue and a secondary queue). Moreover, you may also use the message Delayed Send function to delay process execution.
Use SQS to prepare multiple queues for the individual priority levels.
Place those processes to be executed immediately (job requests) in the high priority queue.
Prepare numbers of batch servers, for processing the job requests of the queues, depending on the priority levels.
Queues have a message "Delayed Send" function. You can use this to delay the time for starting a process.
Configuration

Benefits
You can increase or decrease the number of servers for processing jobs to change automatically the processing speeds of the priority queues and secondary queues.
You can handle performance and service requirements through merely increasing or decreasing the number of EC2 instances used in job processing.
Even if an EC2 were to fail, the messages (jobs) would remain in the queue service, enabling processing to be continued immediately upon recovery of the EC2 instance, producing a system that is robust to failure.
Cautions
Depending on the balance between the number of EC2 instances for performing the processes and the number of messages that are queued, there may be cases where processing in the secondary queue may be completed first, so you need to monitor the processing speeds in the primary queue and the secondary queue.

NEW QUESTION: 2
How does contextual targeting work?
A. Keywords are used to place ads on websites next to the content that matches the keyword
B. Websites outside of the Google Display Network are selected for keyword-matched placements.
C. Text is used to place ads next to relevant website content without using keywords
D. Advertisers select individual websites on the Google Display Network to display their ads
Answer: A
Explanation:
Reference: http://adwords.google.com/support/aw/bin/answer.py?hl=en&answer=152077

NEW QUESTION: 3
ゲーム会社があなたのところに来て、彼らに彼らのサイトのためのインフラストラクチャを構築するように頼みます。彼らは限られたお金と大きなアイデアを持っているすべてのスタートアップと同じくらい彼らがどれくらい大きくなるか確信がありません。彼らがあなたに言っているのは、以前のゲームのようにゲームが成功すると、それは数百万人のユーザーに急速に成長し、1秒間に数十万（あるいは数十万）もの読み書きを生み出すかもしれないということです。これらすべてを検討した結果、シームレスでスケーラビリティを備えた高速で予測可能なパフォーマンスを提供する、完全に管理されたNoSQLデータベースサービスが必要であると判断しました。次のデータベースのうちどれがあなたのニーズに最も適していると思いますか？
A. 任意の非リレーショナルデータベース
B. Amazon DynamoDB
C. Amazon SimpleDB
D. Amazon Redshift
Answer: B
Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. Amazon DynamoDB enables customers to offload the administrative burdens of operating and scaling distributed databases to AWS, so they don't have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling.
Today's web-based applications generate and consume massive amounts of data. For example, an online game might start out with only a few thousand users and a light database workload consisting of 10 writes per second and 50 reads per second. However, if the game becomes successful, it may rapidly grow to millions of users and generate tens (or even hundreds) of thousands of writes and reads per second. It may also create terabytes or more of data per day.
Developing your applications against Amazon DynamoDB enables you to start small and simply dial-up your request capacity for a table as your requirements scale, without incurring downtime.
You pay highly cost-efficient rates for the request capacity you provision, and let Amazon DynamoDB do the work over partitioning your data and traffic over sufficient server capacity to meet your needs. Amazon DynamoDB does the database management and administration, and you simply store and request your data. Automatic replication and failover provides built-in fault tolerance, high availability, and data durability. Amazon DynamoDB gives you the peace of mind that your database is fully managed and can grow with your application requirements.
Reference: http://aws.amazon.com/dynamodb/faqs/

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