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NEW QUESTION: 1
You need to configure Tailspin Toy's desktop clients and phone edition clients to apply Differentiated Services Code Point (DSCP) markings.
What are the minimum actions you need to do? To answer, drag the appropriate configuration option to the client. Each action may be used once, more than once or nor at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation

NEW QUESTION: 2
내부 감사 활동에 대한 내부 품질 평가는 최고 감사 책임자를 제공해야 합니다.
A. 개선을 위한 권장 사항.
B. 내부 감사 직원 성과 평가.
C. 과거 감사 권장 사항에 대한 조치 확인.
D. 내부 감사 계약의 목표.
Answer: A

NEW QUESTION: 3
You have an Azure subscription that contains multiple resource groups. You create an availability set as shown in the following exhibit.

You deploy 10 virtual machines to AS1.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: 6
Two out of three update domains would be available, each with at least 3 VMs.
An update domain is a group of VMs and underlying physical hardware that can be rebooted at the same time.
As you create VMs within an availability set, the Azure platform automatically distributes your VMs across these update domains. This approach ensures that at least one instance of your application always remains running as the Azure platform undergoes periodic maintenance.
Box 2: the West Europe region and the RG1 resource group
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/regions-and-availability

NEW QUESTION: 4
Your customer collects diagnostic data from its storage systems that are deployed at customer sites. The customer needs to capture and process this data by country in batches.
Why should the customer choose Hadoop to process this data?
A. Hadoop processes data on large clusters (10-50 max) on commodity hardware.
B. Hadoop is a batch data processing architecture.
C. Hadoop processes data serially.
D. Hadoop supports centralized computing of large data sets on large clusters.
E. Node failures can be dealt with by configuring failover with clusterware.
Answer: B
Explanation:
Explanation/Reference:
Hadoop was designed for batch processing. That means, take a large dataset in input all at once, process it, and write a large output. The very concept of MapReduce is geared towards batch and not real-time.
With growing data, Hadoop enables you to horizontally scale your cluster by adding commodity nodes and thus keep up with query. In hadoop Map-reduce does the same job it will take large amount of data and process it in batch. It will not give immediate output. It will take time as per Configuration of system,namenode,task-tracker,job-tracker etc.
Incorrect Answers:
A: Yahoo! has by far the most number of nodes in its massive Hadoop clusters at over 42,000 nodes as of July 2011.
C: Hadoop supports distributed computing of large data sets on large clusters E: Hadoop processes data in parallel.
References: https://www.quora.com/What-is-batch-processing-in-hadoop