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NEW QUESTION: 1
Which three cash drawers does the SurePOS 300 Models 330 and 33H support?
A. 12 volt customer-supplied cash drawer
B. 12 volt compact cash drawer
C. 24 volt full-size cash drawer
D. 24 volt customer-supplied cash drawer
E. 12 volt full-size cash drawer
F. 24 volt compact cash drawer
Answer: C,D,F
NEW QUESTION: 2
ある会社は、AmazonEBSストレージでバックアップされたAmazonEC2インスタンスを使用してステージングWebサイトをホストしています。同社は、EC2インスタンスでネットワーク接続の問題や電源障害が発生した場合に、最小限のデータ損失で迅速に復旧したいと考えています。これらの要件を満たすソリューションはどれですか。
A. StatusCheckFailed_SystemメトリックスのAmazon CloudWatchアラームを作成し、EC2アクションを選択してインスタンスをリカバリします
B. StatusCheckFailedinstanceメトリックスのAmazon CloudWatchアラームを作成し、EC2アクションを選択してインスタンスをリブートします
C. 最小、最大、および必要な容量を1に設定して、インスタンスをEC2 AutoScalingグループに追加します。
D. EC2インスタンスがシャットダウンまたは終了したときにEBSボリュームをデタッチするために、ライフサイクルフックを使用してインスタンスをEC2 AutoScalingグループに追加します。
Answer: C
NEW QUESTION: 3
You have a job that you want to cancel. It is a streaming pipeline, and you want to ensure that any data that is in-flight is processed and written to the output. Which of the following commands can you use on the Dataflow monitoring console to stop the pipeline job?
A. Drain
B. Finish
C. Cancel
D. Stop
Answer: A
Explanation:
Explanation
Using the Drain option to stop your job tells the Dataflow service to finish your job in its current state. Your job will immediately stop ingesting new data from input sources, but the Dataflow service will preserve any existing resources (such as worker instances) to finish processing and writing any buffered data in your pipeline.
Reference: https://cloud.google.com/dataflow/pipelines/stopping-a-pipeline