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Exam Code: AWS-Certified-Data-Analytics-Specialty
Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01) Exam
Vendor: Amazon

60 Questions & Answers
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C. Ask questions about bonus schedules
D. Direct users to a subject matter experts
Answer: B,D

NEW QUESTION: 2
You have a virtual machine named VM1 that runs Windows Server 2016. VM1 hosts a service that requires high network throughput.
VM1 has a virtual network adapter that connects to a Hyper-V switch named vSwitch1. vSwitch1 has one network adapter. The network adapter supports Remote Direct Memory Access (RMDA), the single root I/ O virtualization (SR-IOV) interface, Quality of Service (QoS), and Receive Side Scaling (RSS).
You need to ensure that the traffic from VM1 can be processed by multiple networking processors.
Which Windows PowerShell command should you run in the host of VM1?
A. Set-NetAdapterQoS
B. Set-NetAdapterSriov
C. Set-NetAdapterRdma
D. Set-NetAdapterRss
Answer: D
Explanation:
Explanation/Reference:
Explanation:
The Set-NetAdapterRss cmdlet sets the receive side scaling (RSS) properties on a network adapter. RSS is a scalability technology that distributes the receive network traffic among multiple processors by hashing the header of the incoming packet. Without RSS Windows Server 2012/2016; network traffic is received on the first processor which can quickly reach full utilization limiting receive network throughput. Many properties can be configured using the parameters to optimize the performance of RSS. The selection of the processors to use for RSS is an important aspect of load balancing. Most of the parameters for this cmdlet help to determine the processors used by RSS.

NEW QUESTION: 3
Which daemons instantiates JVM's to perform mapreduce processing in a cluster running mapreduce v1 (MRv1)?
A. Applicationmaster
B. Resourcemanager
C. applicationmanager
D. Jobtracker
E. Nodemanager
F. Tasktracker
G. Datanode
H. Namenode
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.


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