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NEW QUESTION: 1
What is the best staffing model for an incident response team if current employees' expertise is very low?
A. Fully outsourced
B. Partially outsourced
C. All the above
D. Fully insourced
Answer: A

NEW QUESTION: 2
HOTSPOT
You build a test environment. The test environment contains one Active Directory forest. The forest contains a single domain named contoso.com. The domain contains the servers configured as shown in the following table.

You run the following commands.
New-ADReplicationSite Site1 New-ADReplicationSite Site2 New-ADReplicationSubnet -Name "192.168.1.0/24" -Site Site1 New-ADReplicationSubnet -Name "192.168.2.0/24" -Site Site2 New-ADReplicationSiteLink -Name "SiteLink1" -SitesIncluded Site1,Site2 -Cost 100 -
ReplicationFrequencyInMinutes 15
You promote Server3 and Server4 to domain controllers by using the default options.
Use the drop-down menus to select the answer choice that completes each statement.

Answer:
Explanation:

Explanation:

*Replication will only occur between Server3 and Server4.
* Values that can be transferred in one replication cycle (replication of the current set of updates between a source and destination domain controller): no limit.

NEW QUESTION: 3
ソリューションアーキテクトは、顧客の活動に関するデータを保存するAmazon DynamoDBテーブルを設計する必要があります。このデータは、最近の顧客の行動を分析するために使用されるため、1週間以内のデータは頻繁にアクセスされ、古いデータはまれにしかアクセスされません。 1か月以上前のデータをアプリケーションで参照する必要はありませんが、年末の分析のためにアーカイブする必要があります。
これらの要件を満たす最もコスト効率の高い方法は何ですか？ （2つ選択してください。）
A. より高い書き込み容量ユニットをプロビジョニングして、パーティションの数を最小限にします。
B. データを前処理して複数のレコードを統合し、書き込み操作を最小限にします。
C. DynamoDBの有効期間設定を使用して、特定の期間後にアイテムを期限切れにします。
D. 各週のデータに対して個別のテーブルを作成し、現在の週のスループットを高めます。
E. AWS Data Pipelineを使用して、DynamoDBからAmazon S3に古いテーブルデータをエクスポートし、古いテーブルを削除します。
Answer: D,E
Explanation:
AWS Data Pipeline is a web service that you can use to automate the movement and transformation of data. With AWS Data Pipeline, you can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. You define the parameters of your data transformations and AWS Data Pipeline enforces the logic that you've set up.
https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapipeline.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/best-practices.html