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NEW QUESTION: 1
When a guest client is authenticated, which type of connection is created between the controller-based AP and the client?
A. an unsecured connection
B. a 802.1x/EAP tunnel
C. a TLS encrypted tunnel
D. an IPsec tunnel
E. as SSL connection
Answer: A
NEW QUESTION: 2
Group1という名前のセキュリティグループを持つcontoso.comという名前のAzure Active Directory(Azure AD)テナントがあります。 Group1は、割り当てられたメンバーシップ用に構成されています。 Group1には、20人のゲストユーザーを含む50人のメンバーがあります。
Group1のメンバーシップを評価するためのソリューションを推奨する必要があります。ソリューションは次の要件を満たす必要があります。
*評価は3か月ごとに自動的に繰り返す必要があります。
*すべてのメンバーは、グループ1に所属する必要があるかどうかを報告できる必要があります。
* Group1に所属する必要がないと報告したユーザーは、Group1から自動的に削除される必要があります
* Group1に所属する必要があるかどうかを報告しないユーザーは、Group1から自動的に削除する必要があります。
推奨事項には何を含める必要がありますか?
A. Implement Azure AD Identity Protection.
B. Change the Membership type of Group1 to Dynamic User.
C. Implement Azure AD Privileged Identity Management.
D. Create an access review.
Answer: B
Explanation:
Explanation
In Azure Active Directory (Azure AD), you can create complex attribute-based rules to enable dynamic memberships for groups. Dynamic group membership reduces the administrative overhead of adding and removing users.
When any attributes of a user or device change, the system evaluates all dynamic group rules in a directory to see if the change would trigger any group adds or removes. If a user or device satisfies a rule on a group, they are added as a member of that group. If they no longer satisfy the rule, they are removed.
References:
https://docs.microsoft.com/en-us/azure/active-directory/users-groups-roles/groups-dynamic-membership
NEW QUESTION: 3
アプリケーションは、複数のアベイラビリティーゾーンにまたがるAmazon EC2インスタンスで実行されます。インスタンスは、アプリケーションロードバランサーの背後にあるAmazon EC2 Auto Scalingグループで実行されます。アプリケーションは、EC2インスタンスのCPU使用率が40%以下のときに最高のパフォーマンスを発揮します。グループ内のすべてのインスタンスで望ましいパフォーマンスを維持しますか?
A. 単純なスケーリングポリシーを使用してAuto Scalingグループを動的にスケーリングします
B. ターゲットトラッキングポリシーを使用して、Auto Scalingグループを動的にスケーリングします
C. スケジュールされたスケーリングアクションを使用して、Auto Scalingグループを拡大および縮小します
D. AWS Lambda関数を使用して、目的のAuto Scalingグループ容量を更新します
Answer: B
Explanation:
Reference:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-target-tracking.html
"With target tracking scaling policies, you select a scaling metric and set a target value. Amazon EC2 Auto Scaling creates and manages the CloudWatch alarms that trigger the scaling policy and calculates the scaling adjustment based on the metric and the target value. The scaling policy adds or removes capacity as required to keep the metric at, or close to, the specified target value. In addition to keeping the metric close to the target value, a target tracking scaling policy also adjusts to changes in the metric due to a changing load pattern. For example, you can use target tracking scaling to: Configure a target tracking scaling policy to keep the average aggregate CPU utilization of your Auto Scaling group at 40 percent. Configure a target tracking scaling policy to keep the request count per target of your Application Load Balancer target group at 1000 for your Auto Scaling group."