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NEW QUESTION: 1

A. Option A
B. Option B
C. Option C
D. Option D
Answer: A
Explanation:
Explanation
The AWS Documentation mentions the following
The CloudWatch Logs agent provides an automated way to send log data to Cloud Watch Logs from Amazon L~C2 instances. The agent is comprised of the following components:
* A plug-in to the AWS CLI that pushes log data to CloudWatch Logs.
* A script (daemon) that initiates the process to push data to CloudWatch Logs.
* Acron job that ensures that the daemon is always running. For more information on Cloudwatch logs Agent, please see the below link:
* http://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/AgentReferenee.htmI

NEW QUESTION: 2
What configuration file and directive will alter your apache server IP and or port that it listens to?
A. IPAddress
B. MinSpareServers
C. Listen
D. Port
Answer: C

NEW QUESTION: 3
Refer re the exhibit.

When utilizing the Cisco Application Virtual Switch in an ACI fabric, it can be deployed in two types of
switching modes. Which two types of encapsulations can be used in each mode? (Choose two.)
A. No Local switching VXLAN
B. Local Switching VLAN or VXLAN
C. No Local Switching VLAN
D. No Local switching VLAN or VXLAN
E. Local Switching VXLAN
F. Local Switching VLAN
Answer: A,B

NEW QUESTION: 4
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. central processing units (CPUs)
B. field-programmable gate arrays (FPGAs)
C. application-specific integrated circuits (ASICs)
D. graphics processing units (GPUs)
Answer: B
Explanation:
Explanation/Reference:
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