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NEW QUESTION: 1
AWSの顧客は、EC2インスタンスのAutoScalingグループで構成されるアプリケーションマットをデプロイしています。
お客様のセキュリティポリシーでは、これらのインスタンスからお客様の仮想プライベートクラウド内の他のサービスへのすべてのアウトバウンド接続は、特定のインスタンスIDを含む一意のx 509証明書を使用して認証する必要があります。
さらに、x 509証明書は、認証のために信頼されるために、顧客のキー管理サービスによって設計される必要があります。
これらの要件をサポートする構成は次のうちどれですか？
A. 起動されたインスタンスを設定して、最初の起動時に新しい証明書を生成します。キー管理サービスに関連付けられたインスタンスのAuto Scalingグループをポーリングして、新しいインスタンスに証明書署名（特定のインスタンスIDを含む）を送信させます。
B. Auto Scalingグループが使用するAmazon Machine Imageに証明書を埋め込みます。起動されたインスタンスに、署名用のキー管理サービスにインスタンスの割り当てられたインスタンスIDを使用して証明書署名要求を生成させます。
C. 署名付き証明書を含むAmazon S3オブジェクトへのアクセスを許可するIAMロールを設定し、このロールでインスタンスを起動するようにAuto Scalingグループを設定します。インスタンスのブートストラップで、初回起動時にAmazon S3から証明書を取得します。
D. Auto Scalingグループを設定して、新しいインスタンスの起動のSNS通知を信頼できるキー管理サービスに送信します。キー管理サービスに署名済み証明書を生成させ、新しく起動したインスタンスに直接送信します。
Answer: C

NEW QUESTION: 2
Your company releases new features with high frequency while demanding high application availability. As
part of the application's A/B testing, logs from each updated Amazon EC2 instance of the application need to
be analyzed in near real-time, to ensure that the application is working flawlessly after each deployment. If the
logs show any anomalous behavior, then the application version of the instance is changed to a more stable
one. Which of the following methods should you use for shipping and analyzing the logs in a highly available
manner?
A. Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
B. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner
each hour.
C. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner
each hour.
D. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
Answer: A
Explanation:
Explanation
Answer - C
You can use Kinesis Streams for rapid and continuous data intake and aggregation. The type of data used
includes IT infrastructure log data, application logs, social
media, market data feeds, and web clickstream data. Because the response time for the data intake and
processing is in real time, the processing is typically
lightweight.
The following are typical scenarios for using Kinesis Streams:
* Accelerated log and data feed intake and processing - You can have producers push data directly into a
stream. For example, push system and application logs and they'll be available for processing in seconds. This
prevents the log data from being lost if the front end or application server fails. Kinesis Streams provides
accelerated data feed intake because you don't batch the data on the servers before you submit it for intake.
* Real-time metrics and reporting - You can use data collected into Kinesis Streams for simple data analysis
and reporting in real time. For example, your data-processing application can work on metrics and reporting
for system and application logs as the data is streaming in, rather than wait to receive batches of data.
For more information on Amazon Kinesis and SNS please refer to the below link:
* http://docs.aws.a
mazon.com/streams/latest/dev/introduction.html

NEW QUESTION: 3
The following items were among those that were reported on Lee Co.'s income statement for the year
ended December 31, 1989:

The office space is used equally by Lee's sales and accounting departments. What amount of the above
listed items should be classified as general and administrative expenses in Lee's multiple-step income
statement?
A. $290,000
B. $325,000
C. $500,000
D. $410,000
Answer: A
Explanation:

Note: 1/2 of the office space of $240,000 was used by the sales department, which should be allocated to
"selling expenses" (not general and administrative).
Choice "a" is correct. $290,000.