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NEW QUESTION: 1
What is a characteristic of iQuery?
A. It uses SSL.
B. It uses SCP.
C. It uses HTTPS.
D. It uses SSH.
Answer: A

NEW QUESTION: 2
A project manager has been assigned to a project and receives the project charter from the project management office (PMO) The document is very clear about customer requests During Project Scope Management some requirements seem to be different from the ones specified within the project charter What should the project manager do?
A. Use a focus group and brainstorming sessions to gather more details about the project scope
B. Register the changes in the configuration management plan and send it to the change control board (CCB).
C. Modify the baseline of the project for minor impact changes to the project scope
D. Explain to the sponsor that these requests could endanger the schedule and cost of the project
Answer: A

NEW QUESTION: 3
ある企業が、Amazon S3バケットでホストされる静的なウェブサイトを開発しました。ウェブサイトはAWS CloudFormationを使用してデプロイされます。 CloudFormationテンプレートは、S3バケットと、ソースの場所からコンテンツをバケットにコピーするカスタムリソースを定義します。会社は、ウェブサイトを新しい場所に移動する必要があると判断したため、既存のCloudFormationスタックを削除して再作成する必要があります。ただし、CloudFormationは、スタックを完全に削除できなかったと報告しています。
最も可能性の高い原因は何ですか。DevOpsエンジニアは、このバージョンおよび今後のバージョンのWebサイトでこの問題をどのように軽減できますか？
A. S3バケットにアクティブなWebサイト構成があるため、削除に失敗しました。 CloudFormationテンプレートを変更して、S3バケットリソースからウェブサイト構成を適切に削除します。
B. カスタムリソースが削除ポリシーを定義していないため、削除に失敗しました。 RemoveOnDeletionの値を持つDeletionPolicyプロパティをカスタムリソース定義に追加します。
C. S3バケットが空ではないため、削除に失敗しました。カスタムリソースのAWS Lambda関数コードを変更して、RequestTypeがDeleteの場合にバケットを再帰的に空にします。
D. S3バケットが空ではないため、削除に失敗しました。 CloudFormationテンプレートのS3バケットリソースを変更して、値がEmptyのDeletionPolicyプロパティを追加します。
Answer: C

NEW QUESTION: 4
Your customer is willing to consolidate their log streams (access logs application logs security logs etc.) in one single system. Once consolidated, the customer wants to analyze these logs in real time based on heuristics.
From time to time, the customer needs to validate heuristics, which requires going back to data samples extracted from the last 12 hours?
What is the best approach to meet your customer's requirements?
A. Setup an Auto Scaling group of EC2 syslogd servers, store the logs on S3, use EMR to apply heuristics on the logs
B. Send all the log events to Amazon Kinesis, develop a client process to apply heuristics on the logs
C. Send all the log events to Amazon SQS, setup an Auto Scaling group of EC2 servers to consume the logs and apply the heuristics.
D. Configure Amazon CloudTrail to receive custom logs, use EMR to apply heuristics the logs
Answer: B
Explanation:
Explanation
The throughput of an Amazon Kinesis stream is designed to scale without limits via increasing the number of shards within a stream. However, there are certain limits you should keep in mind while using Amazon Kinesis Streams:
By default, Records of a stream are accessible for up to 24 hours from the time they are added to the stream.
You can raise this limit to up to 7 days by enabling extended data retention.
The maximum size of a data blob (the data payload before Base64-encoding) within one record is 1 megabyte (MB).
Each shard can support up to 1000 PUT records per second.
For more information about other API level limits, see Amazon Kinesis Streams Limits.