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NEW QUESTION: 1
スケジュール管理プロセスで使用される技術はどれですか？
A. ベースラインスケジュール
B. パフォーマンス測定
C. スケジュール比較
D. 分散分析
Answer: D

NEW QUESTION: 2

A. Option D
B. Option C
C. Option B
D. Option E
E. Option A
Answer: B,E
Explanation:
Explanation
https://aws.amazon.com/s3/faqs/

NEW QUESTION: 3
You are configuring a budget plan to automatically spread. Which allocation method should you use?
A. The Allocate across dimensions method
B. The Aggregate allocation method
C. The Allocate across periods method
D. The Distribute allocation method
Answer: A

NEW QUESTION: 4
You are a data engineer. You are designing a Hadoop Distributed File System (HDFS) architecture. You plan to use Microsoft Azure Data Lake as a data storage repository.
You must provision the repository with a resilient data schema. You need to ensure the resiliency of the Azure Data Lake Storage. What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: NameNode
An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients.
Box 2: DataNode
The DataNodes are responsible for serving read and write requests from the file system's clients.
Box 3: DataNode
The DataNodes perform block creation, deletion, and replication upon instruction from the NameNode.
Note: HDFS has a master/slave architecture. An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients. In addition, there are a number of DataNodes, usually one per node in the cluster, which manage storage attached to the nodes that they run on. HDFS exposes a file system namespace and allows user data to be stored in files. Internally, a file is split into one or more blocks and these blocks are stored in a set of DataNodes. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are responsible for serving read and write requests from the file system's clients. The DataNodes also perform block creation, deletion, and replication upon instruction from the NameNode.
References:
https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html#NameNode+and+DataNodes

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