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NEW QUESTION: 1
Named entity recognition refers to recognizing entities with specific meanings in the text. Which ones are mainly included? (Multiple Choice)
A. Name
B. Date
C. Time
D. Place name
E. Organization name
Answer: A,B,C,D,E

NEW QUESTION: 2

A. Option D
B. Option C
C. Option A
D. Option B
E. Option E
Answer: A,C,E

NEW QUESTION: 3
You have a failover cluster named Cluster1.
A virtual machine named VM1 is a highly available virtual machine that runs on Cluster1. A custom application named App1 runs on VM1.
You need to configure monitoring on VM1. If App1 adds an error entry to the Application event log, VM1 should be automatically rebooted and moved to another cluster node.
Which tool should you use?
A. Resource Monitor
B. Failover Cluster Manager
C. Server Manager
D. Hyper-V Manager
Answer: B
Explanation:
Explanation
Do you have a large number of virtualized workloads in your cluster? Have you been looking for a solution that allows you to detect if any of the virtualized workloads in your cluster are behaving abnormally? Would you like the cluster service to take recovery actions when these workloads are in an unhealthy state? In Windows Server 2012/2016, there is a great new feature, in Failover Clustering called "VM Monitoring", which does exactly that - it allows you monitor the health state of applications that are running within a virtual machine and then reports that to the host level so that it can take recovery actions.
VM Monitoring can be easily configured using the Failover Cluster Manager through the following steps:
References:
https://blogs.msdn.microsoft.com/clustering/2012/04/18/how-to-configure-vm-monitoring-in-windows-server-20

NEW QUESTION: 4
The Developer for a retail company must integrate a fraud detection solution into the order processing solution. The fraud detection solution takes between ten and thirty minutes to verify an order. At peak, the web site can receive one hundred orders per minute.
What is the most scalable method to add the fraud detection solution to the order processing pipeline?
A. Write all new orders to Amazon DynamoDB. Configure DynamoDB Streams to include all new orders. Subscribe a Lambda function to automatically read batches of records from the Kinesis Stream. The Lambda function includes the fraud detection software and will update the order with a pass or fail status.
B. Add all new orders to an Amazon Kinesis Stream. Subscribe a Lambda function to automatically read batches of records from the Kinesis Stream. The Lambda function includes the fraud detection software and will update the order with a pass or fail status.
C. Add all new orders to an SQS queue. Configure an Auto Scaling group that uses the queue depth metric as its unit of scale to launch a dynamically-sized fleet of EC2 instances spanning multiple AZs with the fraud detection solution installed on them to pull orders from this queue. Update the order with a pass or fails status.
D. Add all new orders to an Amazon SQS queue. Configure a fleet of 10 EC2 instances spanning multiple AZs with the fraud detection solution installed on them to pull orders from this queue. Update the order with a pass or fails status.
Answer: C