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NEW QUESTION: 1
Which MapReduce daemon instantiates user code, and executes map and reduce tasks on a cluster running MapReduce v1 (MRv1)?
A. TaskTracker
B. JobTracker
C. NameNode
D. DataNode
E. ResourceManager
F. NodeManager
G. ApplicationMaster
Answer: A
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: 2
A customer wants to purchase a video endpoint that supports a touchscreen control. The engineer recommends a Cisco TelePresence MX300 endpoint. Which information about this endpoint should the engineer tell the customer?
A. You can purchase the endpoint with either the 8-inch touchscreen or the 10-inch touchscreen. You need an additional option key for the 10-inch touchscreen.
B. The endpoint comes with the 8-inch touchscreen by default. You can purchase the 10inch touchscreen with an additional cost.
C. The endpoint comes with the 8-inch touchscreen by default. You do not have the option to purchase the 10-inch touchscreen.
D. The endpoint comes with the 10-inch touchscreen by default. You do not have the
option to purchase the endpoint with the 8-inch touchscreen.
Answer: D

NEW QUESTION: 3
An administrator needs to decrease the total amount of time required to back up a UNIX file server, but requires a full backup every night for recovery purposes.
How should the administrator proceed?
A. use NetBackup Accelerator
B. use client-side deduplication
C. use change journal
D. use policy compression
Answer: A

NEW QUESTION: 4
You plan to monitor the performance of Azure Blob storage by using Azure Monitor.
You need to be notified when there is a change in the average time it takes for a storage service or API operation type to process requests.
For which two metrics should you set up alerts? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. SuccessE2ELatency
B. UsedCapacity
C. Egress
D. Ingress
E. SuccessServerLatency
Answer: A,E
Explanation:
Explanation
Success E2E Latency: The average end-to-end latency of successful requests made to a storage service or the specified API operation. This value includes the required processing time within Azure Storage to read the request, send the response, and receive acknowledgment of the response.
Success Server Latency: The average time used to process a successful request by Azure Storage. This value does not include the network latency specified in SuccessE2ELatency.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-scalable-app-verify-metrics