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NEW QUESTION: 1
Which of the following are the differences between routed protocols and routing protocols?
Each correct answer represents a complete solution. Choose two.
A. A routed protocol works on the transport layer of the OSI model.
B. A routing protocol is configured on an interface and decides the method of packet delivery.
C. A routed protocol is configured on an interface and decides how a packet will be delivered.
D. A routing protocol decides the path for a packet through the network.
Answer: C,D

NEW QUESTION: 2
Cisco Unified Wireless networks support two campus design models Centralized or Local Mode and Cisco FlexConnect Which statement about the Local Mode design model is true?
A. It is recommended for sites that use less than 50 Aps.
B. It is recommended for sites with a local WAN distribution layer.
C. It is recommended for remote-site deployments.
D. The wireless LAN controller and access points are co-located.
Answer: D

NEW QUESTION: 3
Race CentralのCosmos DBからSQL Databaseに実行されるData Factoryパイプラインを監視しています。
ジョブの実行に45分かかることがわかりました。
ジョブのパフォーマンスを改善するにはどうすればよいですか？
A. コピーアクティビティの並列処理を減らします。
B. ステージングコピーを使用するようにコピーアクティビティを構成します。
C. コピーアクティビティを構成して圧縮を実行します。
D. データ統合ユニットを増やします。
Answer: D
Explanation:
Explanation
Performance tuning tips and optimization features. In some cases, when you run a copy activity in Azure Data Factory, you see a "Performance tuning tips" message on top of the copy activity monitoring, as shown in the following example. The message tells you the bottleneck that was identified for the given copy run. It also guides you on what to change to boost copy throughput. The performance tuning tips currently provide suggestions like:
Use PolyBase when you copy data into Azure SQL Data Warehouse.
Increase Azure Cosmos DB Request Units or Azure SQL Database DTUs (Database Throughput Units) when the resource on the data store side is the bottleneck.
Remove the unnecessary staged copy.
References:
https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-performance

NEW QUESTION: 4
Identity four pieces of cluster information that are stored on disk on the NameNode?
A. The status of the heartbeats of each DataNode.
B. File permissions of the files in HDFS.
C. An edit log of changes that have been made since the last snapshot of the NameNode.
D. Names of the files in HDFS.
E. A catalog of DataNodes and the blocks that are stored on them.
F. An edit log of changes that have been made since the last snapshot compaction by the Secondary NameNode.
G. The directory structure of the files in HDFS.
Answer: B,D,F,G
Explanation:
B: An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients.
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 NameNode maintains the file system namespace. Any change to the file system namespace or its properties is recorded by the NameNode. An application can specify the number of replicas of a file that should be maintained by HDFS. The number of copies of a file is called the replication factor of that file. This information is stored by the NameNode.
C: 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
E: The NameNode uses a transaction log called the EditLog to persistently record every change that occurs to file system metadata.
The SecondaryNameNode periodically compacts the EditLog into a "checkpoint;" the EditLog is then cleared.
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.

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