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NEW QUESTION: 1
ある会社が、AWSのワークロードに対して継続的な統合を実装したいと考えています。同社は自社のコードリポジトリでコミットするために自社のパイプラインで単体テストを開始したいと考えており、パイプラインでの障害イベントについて通知を受けたいと考えています。
これらの要件をどのように満たすことができますか？
A. GitHubにソースコードを保存します。ユニットテストを自動化するためのCodePipelineを作成します。 Amazon SESを使用して失敗イベントの通知をトリガーします。
B. AWS CodeCommitにソースコードを保存します。ユニットテストを自動化するためのCodePipelineを作成します。 Amazon CloudWatchを使用して失敗イベントの通知をトリガーします。
C. AWS CodeCommitにソースコードを保存します。ユニットテストを自動化するためのCodePipelineを作成します。 Amazon SNSを使用して失敗イベントの通知をトリガーします。
D. GitHubにソースコードを保存します。ユニットテストを自動化するためのCodePipelineを作成します。 Amazon CloudWatchを使用して失敗イベントの通知をトリガーします。
Answer: C

NEW QUESTION: 2
You need to recommend project metrics for dashboards in Azure DevOps.
Which chart widgets should you recommend for each metric? To answer, drag the appropriate chart widgets to the correct metrics. Each chart widget may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Lead time
Lead time measures the total time elapsed from the creation of work items to their completion.
Box 2: Cycle time
Cycle time measures the time it takes for your team to complete work items once they begin actively working on them.
Box 3: Burndown
Burndown charts focus on remaining work within a specific time period.
Incorrect Answers:




References:
https://docs.microsoft.com/en-us/azure/devops/report/dashboards/velocity-guidance?view=vsts
https://docs.microsoft.com/en-us/azure/devops/report/dashboards/cycle-time-and-lead-time?view=vsts
https://docs.microsoft.com/en-us/azure/devops/report/dashboards/configure-burndown-burnup-widgets?view=vsts

NEW QUESTION: 3
How can the tail drop algorithm support traffic shaping when the queue is filled?
A. It drops new packets with a size of less than 64 bytes until the queue has room for more traffic.
B. It drops older packets with a size of 64 bytes or more until the queue has room for more traffic,
C. It drops all new packets until the queue has room for more traffic.
D. It drops older TCP packets that are set to be redelivered due to errors on the link until the queue has room for more traffic,
Answer: C
Explanation:
https://en.wikipedia.org/wiki/Tail_drop
Tail Drop, or Drop Tail, is a very simple queue management algorithm used by Internet routers, e.g. in the network schedulers, and network switches to decide when to drop packets. In contrast to the more complex algorithms like RED and WRED, in Tail Drop the traffic is not differentiated. Each packet is treated identically. With tail drop, when the queue is filled to its maximum capacity, the newly arriving packets are dropped until the queue has enough room to accept incoming traffic.

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