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NEW QUESTION: 1
会社は複数のAWSアカウントを持っており、請求プロセスを簡素化および統合したいと考えています。
どのAWSサービスがこれを実現しますか？
A. AWSのコストと使用状況のレポート
B. AWSの予算
C. AWS組織
D. AWSコストエクスプローラー
Answer: C
Explanation:
You can use the consolidated billing feature in AWS Organizations to consolidate billing and payment for multiple AWS accounts or multiple Amazon Internet Services Pvt. Ltd (AISPL) accounts. Every organization in AWS Organizations has a master (payer) account that pays the charges of all the member (linked) accounts.

NEW QUESTION: 2
部門は会社のログファイルから定期的な分析レポートを作成します。すべてのログデータはAmazon S3で収集され、Amazon RedshiftデータウェアハウスのCSV形式の日次PDFレポートと集計テーブルを生成する毎日のAmazon Elastic MapReduce（EMR）ジョブによって処理されます。
CFOは、このシステムのコスト構造を最適化することを要求します。
システムの平均パフォーマンスや生データのデータ整合性を損なうことなくコストを削減できる代替手段は次のうちどれですか？
A. S3のすべてのデータに冗長性削減ストレージ（RRS）を使用します。 Amazon EMRジョブには、スポットインスタンスとリザーブドインスタンスの組み合わせを使用します。 Amazon Redshiftのリザーブドインスタンスを使用します。
B. Amazon S3のすべてのデータに冗長性削減ストレージ（RRS）を使用します。 Amazon EMRジョブにスポットインスタンスを追加します。 Amazon Redshiftのリザーブドインスタンスを使用します。
C. Amazon S3でPDFおよび.csvデータに冗長性削減ストレージ（RRS）を使用します。 Amazon EMRジョブにスポットインスタンスを追加します。 Amazon Redshiftのリザーブドインスタンスを使用します。
D. S3のPDFおよび.csvデータには、冗長性削減ストレージ（RRS）を使用します。スポットインスタンスをEMRジョブに追加します。
Amazon Redshiftのスポットインスタンスを使用します。
Answer: C
Explanation:
説明
Using Reduced Redundancy Storage Amazon S3 stores objects according to their storage class. It assigns the storage class to an object when it is written to Amazon S3. You can assign objects a specific storage class (standard or reduced redundancy) only when you write the objects to an Amazon S3 bucket or when you copy objects that are already stored in Amazon S3. Standard is the default storage class. For information about storage classes, see Object Key and Metadata.
In order to reduce storage costs, you can use reduced redundancy storage for noncritical, reproducible data at lower levels of redundancy than Amazon S3 provides with standard storage. The lower level of redundancy results in less durability and availability, but in many cases, the lower costs can make reduced redundancy storage an acceptable storage solution. For example, it can be a cost-effective solution for sharing media content that is durably stored elsewhere. It can also make sense if you are storing thumbnails and other resized images that can be easily reproduced from an original image.
Reduced redundancy storage is designed to provide 99.99% durability of objects over a given year. This durability level corresponds to an average annual expected loss of 0.01% of objects. For example, if you store
10,000 objects using the RRS option, you can, on average, expect to incur an annual loss of a single object per year (0.01% of 10,000 objects).
Note:
This annual loss represents an expected average and does not guarantee the loss of less than 0.01% of objects in a given year.
Reduced redundancy storage stores objects on multiple devices across multiple facilities, providing 400 times the durability of a typical disk drive, but it does not replicate objects as many times as Amazon S3 standard storage. In addition, reduced redundancy storage is designed to sustain the loss of data in a single facility.
If an object in reduced redundancy storage has been lost, Amazon S3 will return a 405 error on requests made to that object. Amazon S3 also offers notifications for reduced redundancy storage object loss: you can configure your bucket so that when Amazon S3 detects the loss of an RRS object, a notification will be sent through Amazon Simple Notification Service (Amazon SNS). You can then replace the lost object. To enable notifications, you can use the Amazon S3 console to set the Notifications property of your bucket.

NEW QUESTION: 3
During metric analysis, your team has determined that the company's website during peak hours is experiencing response times higher than anticipated. You currently rely on Auto Scaling to make sure that you are scaling your environment during peak windows. How can you improve your Auto Scaling policy to reduce this high response time? Choose 2 answers.
A. IncreaseyourAutoScalinggroup'snumberofmaxservers.
B. Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.
C. Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.
D. Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have betterfine-grain insight.
Answer: A,B
Explanation:
Explanation
Option B makes sense because maybe the max servers is low hence the application cannot handle the peak load.
Option D helps in ensuring Autoscaling can scale the group on the right metrics.
For more information on Autoscaling health checks, please refer to the below document link: from AWS
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/healthcheck.html