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NEW QUESTION: 1
Which of the following processes best describes the project human resource management knowledge area?
A. Initiation, activity resource planning, acquire project team, develop project team
B. Initiation, develop project team, acquire project team, develop project team, manage project team
C. Initiation, develop project team, acquire project team, develop project team
D. Acquire project team, activity resource estimation, develop project team, manage project team
Answer: C

NEW QUESTION: 2
左側のアドレスを右側の正しいIPv6フィルターの目的にドラッグアンドドロップします。

Answer:
Explanation:

Explanation
Same Answer is already updated below:

HTTP and HTTPs run on TCP port 80 and 443, respectively and we have to remember them.
Syslog runs on UDP port 514 while NTP runs on UDP port 123 so if we remember them we can find out the matching answers easily. But maybe there is some typos in this question as 2001:d88:800:200c::c/126 only ranges from 2001:d88:800:200c:0:0:0:c to 2001:d88:800:200c:0:0:0:f (4 hosts in total). It does not cover host 2001:0D88:0800:200c::1f. Same for 2001:D88:800:200c::e/126, which also ranges from
2001:d88:800:200c:0:0:0:c to 2001:d88:800:200c:0:0:0:f and does not cover host 2001:0D88:0800:200c::1c
.

NEW QUESTION: 3
You need to recommend an appropriate solution for the data mining requirements.
Which solution should you recommend?
A. Design a schedule process that allocates tasks to multiple virtual machines, and use the Azure Portal to create new VMs as needed.
B. Use Windows Server HPC Pack on-premises to schedule jobs and automate scaling of virtual machines in Azure.
C. Use Azure HPC Scheduler Tools to schedule jobs and automate scaling of virtual machines.
D. Use Traffic Manager to allocate tasks to multiple virtual machines, and use the Azure Portal to spin up new virtual machines as needed.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
* Scenario:
Virtual machines:
The data mining solution must support the use of hundreds to thousands of processing cores.

Minimize the number of virtual machines by using more powerful virtual machines. Each virtual

machine must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based

on the demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.

Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand and available resources.