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NEW QUESTION: 1
オンプレミスネットワークのAzure Active Directoryシームレスシングルサインオン（Azure ADシームレスSSO）用にAzure AD Connectを構成します。ユーザーは、myapps.microsoft.comにアクセスしようとすると、何度もサインインするように求められ、onmicrosoft.comで終わるアカウント名を使用するように強制されることを報告します。
Azure ADとオンプレミスActive Directoryの間にUPNの不一致があることがわかりました。ユーザーがシングルサインオン（SSO）を使用してAzureリソースにアクセスできることを確認する必要があります。
最初に何をすべきですか？
A. オンプレミスネットワークから、Active Directoryフェデレーションサービス（AD FS）を展開します。
B. オンプレミスネットワークから、Active Directoryドメイン名を含む新しい証明書を要求します。
C. Azure AD Connectを実行するサーバーから、フィルターオプションを変更します。
D. Azure ADから、カスタムドメイン名を追加して確認します。
Answer: D
Explanation:
説明
Azure AD Connectは、ドメインに定義されているUPNサフィックスをリストし、それらをAzure ADのカスタムドメインと一致させようとします。次に、実行する必要がある適切なアクションを支援します。 Azure ADのサインインページには、オンプレミスのActive Directoryに定義されているUPNサフィックスが一覧表示され、各サフィックスに対して対応するステータスが表示されます。ステータス値は次のいずれかです。
状態：確認済み
Azure AD Connectは、Azure ADで一致する検証済みドメインを見つけました。このドメインのすべてのユーザーは、オンプレミスの資格情報を使用してサインインできます。
状態：未確認
Azure AD Connectは、Azure ADで一致するカスタムドメインを見つけましたが、検証されていません。このドメインのユーザーのUPNサフィックスは、ドメインが検証されない場合、同期後にデフォルトの.onmicrosoft.comサフィックスに変更されます。
必要なアクション：Azure ADでカスタムドメインを確認します。
参照：https://docs.microsoft.com/en-us/azure/active-directory/hybrid/plan-connect-user-signin

NEW QUESTION: 2
Which statement is true about join rules and chained rules?
A. Join rules use Session Lists; chained rules use Active Lists.
B. Join rules link simple rules together; chained rules link join rules.
C. Chained rules may or may not be join rules that also use Active Lists or rely on Correlation events generated by other rules.
D. Chained rules result in detailed chains; join rules result in simple chains.
Answer: C

NEW QUESTION: 3
If your customer wants to save storage space by compressing tables that are read frequently but rarely updated, which compression technique would you recommend?
A. BASIC
B. ARCHIVE LOW
C. OLTP
D. ARCHIVE HIGH
E. QUERY HIGH
Answer: E
Explanation:
Explanation/Reference:
Explanation:
The clause "for query" compresses it in hybrid columnar manner. The clause "low" does not compress it as aggressively. So more space is consumed but compression and decompression do not consume as much CPU. A more aggressive compression can be achieved by replacing the "low" clause with "high". This type of HCC is known as warehouse compression since it is useful for data warehouses where a lot of data is stored but they are queried frequently.