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NEW QUESTION: 1
A. Option C
B. Option A
C. Option E
D. Option F
E. Option D
F. Option B
Answer: C,E,F
Explanation:
Explanation: https://www.paloaltonetworks.com/documentation/71/pan-os/pan-os/monitoring/generate-botnet-reports
NEW QUESTION: 2
Which MapReduce daemon instantiates user code, and executes map and reduce tasks on a cluster running MapReduce v1 (MRv1)?
A. NameNode
B. ResourceManager
C. JobTracker
D. ApplicationMaster
E. NodeManager
F. TaskTracker
G. DataNode
Answer: F
Explanation:
A TaskTracker is a slave node daemon in the cluster that accepts tasks (Map,
Reduce and Shuffle operations) from a JobTracker. There is only One Task Tracker process run
on any hadoop slave node. Task Tracker runs on its own JVM process. Every TaskTracker is
configured with a set of slots, these indicate the number of tasks that it can accept. The
TaskTracker starts a separate JVM processes to do the actual work (called as Task Instance) this
is to ensure that process failure does not take down the task tracker. The TaskTracker monitors
these task instances, capturing the output and exit codes. When the Task instances finish,
successfully or not, the task tracker notifies the JobTracker. The TaskTrackers also send out
heartbeat messages to the JobTracker, usually every few minutes, to reassure the JobTracker that
it is still alive. These message also inform the JobTracker of the number of available slots, so the
JobTracker can stay up to date with where in the cluster work can be delegated.
Note: How many Daemon processes run on a Hadoop system?
Hadoop is comprised of five separate daemons. Each of these daemon run in its own JVM.
Following 3 Daemons run on Master
nodes NameNode - This daemon stores and maintains the metadata for HDFS.
Secondary NameNode - Performs housekeeping functions for the NameNode.
JobTracker - Manages MapReduce jobs, distributes individual tasks to machines running the Task
Tracker.
Following 2 Daemons run on each Slave nodes
DataNode - Stores actual HDFS data blocks.
TaskTracker - Responsible for instantiating and monitoring individual Map and Reduce tasks.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What is a
Task Tracker in Hadoop? How many instances of TaskTracker run on a Hadoop Cluster
NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットにはこのセクションの質問に回答した後、その質問に戻ることができません。その結果、これらの質問はレビュー画面に表示されません。
User1という名前のユーザーは、Windows 10を実行するComputer1という名前のコンピューターを持っています。Computer1は、contoso.comという名前のAzure Active Directory（Azure AD）テナントに参加しています。 User1は、user1 @ contoso.comを使用して、contoso.comにComputer1に参加します。
Computer1には、Folder1という名前のフォルダーが含まれています。 Folder1はドライブCにあり、Share1として共有されています。 Share1には、次の表に示す権限があります。
User2という名前のユーザーには、Windows 10を実行するComputer2という名前のコンピューターがあります。User2は、user2 @ contoso.comを使用してComputer2をcontoso.comに参加させます。
User2はShare1へのアクセスを試み、次のエラーメッセージを受け取ります。「ユーザー名またはパスワードが正しくありません。」 User2がShare1に接続できることを確認する必要があります。
解決策：Azure ADで、User1とUser2を含むGroup1という名前のグループを作成します。 Group1の変更アクセス権をFolder1に付与します。
これは目標を達成していますか？
A. はい
B. いいえ
Answer: A
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/previous-versions/windows/it-pro/windows-server-2008-R2-and-2008/cc75417