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NEW QUESTION: 1
A technology company is creating a dashboard that will visualize and analyze time-sensitive data. The data will come in through Amazon Kinesis Data Firehose with the butter interval set to 60 seconds. The dashboard must support near-real-time data.
Which visualization solution will meet these requirements?
A. Select Amazon S3 as the endpoint for Kinesis Data Firehose. Read data into an Amazon SageMaker Jupyter notebook and carry out the desired analyses and visualizations.
B. Select Amazon S3 as the endpoint for Kinesis Data Firehose. Use AWS Glue to catalog the data and Amazon Athena to query it. Connect Amazon QuickSight with SPICE to Athena to create the desired analyses and visualizations.
C. Select Amazon Redshift as the endpoint for Kinesis Data Firehose. Connect Amazon QuickSight with SPICE to Amazon Redshift to create the desired analyses and visualizations.
D. Select Amazon Elasticsearch Service (Amazon ES) as the endpoint for Kinesis Data Firehose. Set up a Kibana dashboard using the data in Amazon ES with the desired analyses and visualizations.
Answer: D

NEW QUESTION: 2
DRAG DROP
Select all that apply.
Click and drag the HPE Proliant Gen9 value on the left to match its customer benefit on the right.

Answer:
Explanation:


NEW QUESTION: 3
管理者は、WindowsVMをESXiホストからNutanixAHVクラスターに移行します。電源を入れると、移行されたVMは起動に失敗します。 VMコンソールに次のエラーメッセージが表示されます。
起動デバイスが見つかりません
管理者は、VMの起動に失敗する理由を特定するために何を確認する必要がありますか?
A. WindowsOSはサポートされているパッチレベルです。
B. ソースクラスター上のVMスナップショットが統合されました。
C. Nutanix VirtIOドライバーがVMの移行前にインストールされました。
D. ESXiソースクラスターは、宛先AHVクラスターにpingを実行できます。
Answer: C

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