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NEW QUESTION: 1
Click the Exhibit button.

In the exhibit, you decided to change my Hosts addresses. What will happen to the new sessions matching the policy and in-progress sessions that had already matched the policy?
A. New sessions will be evaluated. All in-progress sessions will continue.
B. New sessions will halt until all in-progress sessions are re-evaluated. In-progress sessions will be re-evaluated and possibly dropped.
C. New sessions will be evaluated. In-progress sessions will be re-evaluated.
D. New sessions will be evaluated. All in-progress sessions will be dropped.
Answer: C

NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com. The domain contains a DNS server named Server1. All client computers run Windows 10.
On Server1, you have the following zone configuration

You need to prevent Server1 from resolving queries from DNS clients located on Subnet4.
Server1 must resolve queries from all other DNS clients.
Solution: From Windows PowerShell on Server1, you run the Export-DnsServerDnsSecPublicKey cmdlet.
Does this meet the goal?
A. No
B. Yes
Answer: A

NEW QUESTION: 3
HOTSPOT


Answer:
Explanation:

References: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/repair-a- windows-image

NEW QUESTION: 4
会社は、数ペタバイトのデータセットをクラウドに移行することを計画しています。データセットは24時間利用可能でなければなりません。ビジネスアナリストは、SQLインターフェイスを使用した経験しかありません。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. データをGoogle Cloud Datastoreにストリーミングします。
B. フラットファイルをGoogle Cloud Storageに配置します。
C. データをGoogle BigQueryにロードします。
D. データをGoogle Cloud SQLに挿入します。
Answer: C
Explanation:
説明
Google Big Queryは、マルチペタバイトストレージ、HA（高可用性）、つまり24時間、SQLインターフェイス用です
。
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/
BigQueryは、すべてのデータアナリストの生産性を高めるように設計された、Googleのサーバーレスで拡張性の高い低コストのエンタープライズデータウェアハウスです。管理するインフラストラクチャがないため、使い慣れたSQLを使用してデータの分析に集中して有意義な洞察を見つけることができ、データベース管理者は必要ありません。
BigQueryを使用すると、オブジェクトストレージやスプレッドシートからのデータだけでなく、管理された円柱状のストレージ上に論理データウェアハウスを作成することにより、すべてのデータを分析できます。
参照：https://cloud.google.com/bigquery/