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NEW QUESTION: 1
Scenario:
There are two call control systems in this item.
The Cisco UCM is controlling the DX650, the Cisco Jabber for Windows Client, and the 7965 and 9971 Video IP Phones.
The Cisco VCS and TMS control the Cisco TelePresence Conductor, the Cisco TelePresence MCU, and the Cisco Jabber TelePresence for Windows.
DNS Server:
Device Pool:
Expressway:
ILS:
Locations:
MRA:
Speed Dial:
SIP Trunk:
Which three configuration tasks need to be completed on the router to support the registration of Cisco Jabber clients? (Choose three.)
A. The internal DNS Service (SRV) records need to be updated on the DNS Server.
B. The DNS AOR records are wrong.
C. Flush the DNS Cache on the client.
D. Add the appropriate DNS SRV for the Internet entries on the DNS Server.
E. The DNS server has the wrong IP address.
Answer: A,C,D
NEW QUESTION: 2
Which component in VMware NSX provides L2 bridging from the logical networking space
VXLAN to the physical space?
A. Logical Router control VM
B. NSX virtual switch
C. Logical router
D. NSX Edge virtual appliance
Answer: C
Explanation:
The logical routers can provide L2 bridging from the logical networking space
(VXLAN) to the physical network (VLAN).
https://docs.vmware.com/en/VMware-NSX-for-vSphere/6.3/nsx_63_admin.pdf
NEW QUESTION: 3
You are designing an AI solution in Azure that will perform image classification.
You need to identify which processing platform will provide you with the ability to update the logic over time.
The solution must have the lowest latency for inferencing without having to batch.
Which compute target should you identify?
A. graphics processing units (GPUs)
B. central processing units (CPUs)
C. application-specific integrated circuits (ASICs)
D. field-programmable gate arrays (FPGAs)
Answer: D
Explanation:
FPGAs, such as those available on Azure, provide performance close to ASICs. They are also flexible and reconfigurable over time, to implement new logic.
Incorrect Answers:
D: ASICs are custom circuits, such as Google's TensorFlow Processor Units (TPU), provide the highest efficiency. They can't be reconfigured as your needs change.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-accelerate-with-fpgas