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NEW QUESTION: 1
DRAG DROP
You need to prepare the required Hyper-V virtual network components for Customer2.
Which four objects should you create and configure in sequence? To answer, move the appropriate objects from the
list of objects to the answer area and arrange them in the correct order.

Answer:
Explanation:
Box 1:

Box 2:

Box 3:

Box 4:

NEW QUESTION: 2
ある企業は、VPC内の多数のAmazon EC2インスタンスが、Common Vulnerabilities and Exposures（CVE）レポートによると高リスクとしてマークされていることを発見しました。セキュリティチームは、これらすべてのインスタンスをアップグレードするように要求します。
EC2インスタンスのアップグレードは誰が担当しますか？
A. AWSプレミアムサポートチーム
B. AmazonEC2チーム
C. 会社のシステム管理者
D. AWSセキュリティチーム
Answer: C

NEW QUESTION: 3
Compare the hardware requirements of the NameNode with that of the DataNodes in a Hadoop cluster running MapReduce v1 (MRv1):
A. The NameNode and DataNodes should the same hardware configuration.
B. The NameNode requires more memory but less disk capacity.
C. The NameNode requires more memory and no disk drives.
D. The NameNode requires less memory and less disk capacity than the DataNodes.
E. The NameNode requires more memory and requires greater disk capacity than the DataNodes.
Answer: B
Explanation:
Note:
*The NameNode is the centerpiece of an HDFS file system. It keeps the directory tree of all files in the file system, and tracks where across the cluster the file data is kept. It does not store the data of these files itself. There is only One NameNode process run on any hadoop cluster. NameNode runs on its own JVM process. In a typical production cluster its run on a separate machine. The NameNode is a Single Point of Failure for the HDFS Cluster. When the NameNode goes down, the file system goes offline. Client applications talk to the NameNode whenever they wish to locate a file, or when they want to add/copy/move/delete a file. The NameNode responds the successful requests by returning a list of relevant DataNode servers where the data lives.
*A DataNode stores data in the Hadoop File System HDFS. There is only One DataNode process run on any hadoop slave node. DataNode runs on its own JVM process. On startup, a DataNode connects to the NameNode. DataNode instances can talk to each other, this is mostly during replicating data.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers

NEW QUESTION: 4
IS監査マネージャーは、監査分析チームによって開発されたデータ操作ロジックが誤った結論につながることを発見します。この不正確なロジックは、おそらく以下のリッチの兆候ですか？
A. データ量と分析処理能力の間の非互換性
B. 分析されているビジネスプロセスに対するチームの理解不足
C. 生成された分析への不適切なアクセスを許可する不十分なセキュリティ管理
D. ビジネスから収集されたデータセットに対する不十分な変更管理
Answer: B