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NEW QUESTION: 1
あなたの会社は、マルチペタバイトのデータセットをクラウドに移行する予定です。 データセットは使用可能でなければなりません
1日24時間 ビジネスアナリストは、SQLインターフェースを使用しているだけの経験があります。 分析を容易にするために、データをどのように保存して最適化する必要がありますか？
A. Load data into Google BigQuery.
B. Put flat files into Google Cloud Storage.
C. Insert data into Google Cloud SQL.
D. Stream data into Google Cloud Datastore.
Answer: A
Explanation:
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface .
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/
NEW QUESTION: 2
Siehe Ausstellung.
Wie verwaltet der Router den Datenverkehr zu 192.168.12.16?
A. Es wählt die OSPF-Route, da es das längste Präfix einschließlich der Zieladresse hat.
B. Es wählt die EIGRP-Route, da sie die geringste administrative Entfernung aufweist
C. Der Datenverkehr zwischen allen drei Routen wird ausgeglichen
D. Wählt die RIP-Route aus, da sie das längste Präfix einschließlich der Zieladresse enthält.
Answer: D
NEW QUESTION: 3
You are troubleshooting a problem with interference from a non-802.11 device. Given that the device is not
a WLAN device, you cannot use a protocol analyzer and have chosen to use a spectrum analyzer. You
want to view the signal from the interfering device over time to see the activity that is generating.
What common spectrum analyzer view should you use for this analysis?
A. Real-time FFT
B. Clients
C. Waterfall/Spectrogram
D. APs
Answer: C
NEW QUESTION: 4
Answer:
Explanation:
Explanation
switch(letter){case 'a':case 'm':default:}
Reference: switch (C# Reference)
http://msdn.microsoft.com/en-us/library/06tc147t(v=vs.110).aspx