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NEW QUESTION: 1
Which CRUD operation corresponds to the HTTP GET method?
A. delete
B. create
C. update
D. read
Answer: D
Explanation:
GET: This method retrieves the information identified by the request URI. In the context of the RESTful web services, this method is used to retrieve resources. This is the method used for read operations (the R in CRUD).
https://hub.packtpub.com/crud-operations-rest/

NEW QUESTION: 2
What is a use case for EMC NetWorker?
A. Reduces the amount of backup data to be stored on tapes
B. Reduces the amount of storage required for replicated backups
C. Provides an easy, self-service restore method for laptop clients
D. Provides broad, heterogeneous platform and application support
Answer: D

NEW QUESTION: 3
Your company has a main office and a branch office.
The network contains an Active Directory domain named contoso.com. The main office contains domain controllers that run Windows Server 2012. The branch office contains a read-only domain controller (RODC) that runs Windows Server 2012.
You need to recommend a solution to control which Active Directory attributes are replicated to the RODC.
What should you include in the recommendation?
A. The partial attribute set
B. Constrained delegation
C. The filtered attribute set
D. Application directory partitions
Answer: C
Explanation:
Explanation/Reference:
Explanation:
RODC filtered attribute set
Some applications that use AD DS as a data store might have credential-like data (such as passwords, credentials, or encryption keys) that you do not want to be stored on an RODC in case the RODC is compromised.
For these types of applications, you can dynamically configure a set of attributes in the schema for domain objects that will not replicate to an RODC. This set of attributes is called the RODC filtered attribute set.
Attributes that are defined in the RODC filtered attribute set are not allowed to replicate to any RODCs in the forest.

NEW QUESTION: 4
この質問については、TerramEarthのケーススタディを参照してください。すべての受信データをBigQueryに書き込む新しいアーキテクチャが導入されました。データが汚れていることに気付き、コストを管理しながら、毎日自動化されたデータ品質を確保したいと考えています。
あなたは何をするべきか？
A. ストリーミングCloud Dataflowジョブをセットアップし、取り込みプロセスでデータを受信します。 Cloud Dataflowパイプラインのデータをクリーンアップします。
B. Cloud Dataprepを使用して、BigQueryテーブルをソースとして構成します。データを消去するために毎日のジョブをスケジュールします。
C. BigQueryのデータにSQLステートメントを作成し、ビューとして保存します。ビューを毎日実行し、結果を新しいテーブルに保存します。
D. BigQueryからデータを読み取り、クリーンアップするクラウド関数を作成します。それをトリガーします。 Compute Engineインスタンスからクラウド機能をトリガーします。
Answer: B