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NEW QUESTION: 1
A storage administrator has a RecoverPoint environment with vRPAs containing 64 Consistency Groups (CGs). They want to create distributed CGs.
What is the maximum number of distributed CGs that can be added to this particular system?
A. 0
B. 1
C. 2
D. 3
Answer: B
NEW QUESTION: 2
Which two options are limitations of stateful NAT64? (Choose two)
A. IT is unable to route multicast traffic.
B. Layer 4 supports TCP only
C. It supports FTP traffic only with an ALG.
D. It supports DNS64 only.
E. It is unable to route VRF traffic.
Answer: A,B
NEW QUESTION: 3
You work as a senior administrator at Contoso.com. The Contoso.com network consists of a single domain named Contoso.com. All servers on the Contoso.com network have Windows Server 2012 R2 installed.
You are running a training exercise for junior administrators. You are currently discussing the use of Non-Uniform Memory Architecture (NUMA).
Which of the following is TRUE with regards to Non-Uniform Memory Architecture (NUMA)? (Choose two.)
A. It allows a processor to access remote memory faster than it can access local memory.
B. It is a computer architecture used in single processor systems.
C. It allows a processor to access local memory faster than it can access remote memory.
D. It is a computer architecture used in multiprocessor systems.
Answer: C,D
Explanation:
NUMA is a hardware design feature that divides CPUs and memory in a physical server into NUMA nodes. You get the best performance when a process uses memory and CPU from within the same NUMA node. de is full, then it'll get memory from When a process requires more memory, but the current NUMA no another NUMA node and that comes at a performance cost to that process, and possibly all other processes on that physical server. And that's why virtualization engineers need to be aware of this. In Hyper-V we have Dynamic Memory. Non-Uniform Memory Access or Non-Uniform Memory Architecture (NUMA) is a computer memory design used in multiprocessors, where the memory access time depends on the memory location relative to a processor. Under ccNUMA, a processor can access its own local memory faster than non-local memory, that is, memory local to another processor or memory shared between processors. NUMA architectures logically follow in scaling from symmetric multiprocessing (SMP) architectures.
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