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NEW QUESTION: 1
You need to add markup at line AM04 to implement the ContentReview role.
How should you complete the markup? To answer, drag the appropriate json segments to the correct locations.
Each json segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: allowedMemberTypes
allowedMemberTypes specifies whether this app role definition can be assigned to users and groups by setting to "User", or to other applications (that are accessing this application in daemon service scenarios) by setting to "Application", or to both.
Note: The following example shows the appRoles that you can assign to users.
"appId": "8763f1c4-f988-489c-a51e-158e9ef97d6a",
"appRoles": [
{
"allowedMemberTypes": [
"User"
],
"displayName": "Writer",
"id": "d1c2ade8-98f8-45fd-aa4a-6d06b947c66f",
"isEnabled": true,
"description": "Writers Have the ability to create tasks.",
"value": "Writer"
}
],
"availableToOtherTenants": false,
Box 2: User
Scenario: In order to review content a user must be part of a ContentReviewer role.
Box 3: value
value specifies the value which will be included in the roles claim in authentication and access tokens.
Reference:
https://docs.microsoft.com/en-us/graph/api/resources/approle

NEW QUESTION: 2
Which of the following algorithms produce 160-bit hash values?
Each correct answer represents a complete solution. Choose two.
A. MD5
B. MD2
C. SHA-0
D. SHA-1
Answer: C,D

NEW QUESTION: 3
同じパイプライン内の異なるアクティビティに対して複数のAWS Data Pipelineスケジュールを定義するタスクが与えられました。次のどれがこのタスクを正常に完了しますか？
A. 複数のパイプライン定義ファイルの作成
B. スケジュールオブジェクトファイルで複数のパイプライン定義を定義し、そのスケジュールフィールドを介して目的のスケジュールを正しいアクティビティに関連付ける
C. パイプライン定義ファイルで複数のスケジュールオブジェクトを定義し、scheduleフィールドを介して目的のスケジュールを正しいアクティビティに関連付けます
D. スケジュールフィールドでの複数のスケジュールオブジェクトの定義
Answer: C
Explanation:
同じパイプラインの異なるアクティビティに複数のスケジュールを定義するには、AWS Data Pipelineで、パイプライン定義ファイルに複数のスケジュールオブジェクトを定義し、そのスケジュールフィールドを介して目的のスケジュールを正しいアクティビティに関連付ける必要があります。この例としては、ログファイルが1時間ごとにAmazon S3に保存されるパイプラインを定義して、1日1回集計レポートの生成を促進できます。
https://aws.amazon.com/datapipeline/faqs/