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A company uses AWS WAF to protect its cloud infrastructure. A DevOps engineer needs to give an operations team the ability to analyze log messages from AWS WAR. The operations team needs to be able to create alarms for specific patterns in the log output. Which solution will meet these requirements with the LEAST operational overhead?
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Question 203 - DOP-C02 discussion

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A company uses AWS and has a VPC that contains critical compute infrastructure with predictable traffic patterns. The company has configured VPC flow logs that are published to a log group in Amazon CloudWatch Logs.

The company's DevOps team needs to configure a monitoring solution for the VPC flow logs to identify anomalies in network traffic to the VPC over time. If the monitoring solution detects an anomaly, the company needs the ability to initiate a response to the anomaly.

How should the DevOps team configure the monitoring solution to meet these requirements?

A.
Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Configure Amazon Kinesis Data Analytics to detect log anomalies in the data stream. Create an AWS Lambda function to use as the output of the data stream. Configure the Lambda function to write to the default Amazon EventBridge event bus in the event of an anomaly finding.
Answers
A.
Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Configure Amazon Kinesis Data Analytics to detect log anomalies in the data stream. Create an AWS Lambda function to use as the output of the data stream. Configure the Lambda function to write to the default Amazon EventBridge event bus in the event of an anomaly finding.
B.
Create an Amazon Kinesis Data Firehose delivery stream that delivers events to an Amazon S3 bucket. Subscribe the log group to the delivery stream. Configure Amazon Lookout for Metrics to monitor the data in the S3 bucket for anomalies. Create an AWS Lambda function to run in response to Lookout for Metrics anomaly findings. Configure the Lambda function to publish to the default Amazon EventBridge event bus.
Answers
B.
Create an Amazon Kinesis Data Firehose delivery stream that delivers events to an Amazon S3 bucket. Subscribe the log group to the delivery stream. Configure Amazon Lookout for Metrics to monitor the data in the S3 bucket for anomalies. Create an AWS Lambda function to run in response to Lookout for Metrics anomaly findings. Configure the Lambda function to publish to the default Amazon EventBridge event bus.
C.
Create an AWS Lambda function to detect anomalies. Configure the Lambda function to publish an event to the default Amazon EventBridge event bus if the Lambda function detects an anomaly. Subscribe the Lambda function to the log group.
Answers
C.
Create an AWS Lambda function to detect anomalies. Configure the Lambda function to publish an event to the default Amazon EventBridge event bus if the Lambda function detects an anomaly. Subscribe the Lambda function to the log group.
D.
Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Create an AWS Lambda function to detect log anomalies. Configure the Lambda function to write to the default Amazon EventBridge event bus if the Lambda function detects an anomaly. Set the Lambda function as the processor for the data stream.
Answers
D.
Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Create an AWS Lambda function to detect log anomalies. Configure the Lambda function to write to the default Amazon EventBridge event bus if the Lambda function detects an anomaly. Set the Lambda function as the processor for the data stream.
Suggested answer: D

Explanation:

To meet the requirements, the DevOps team needs to configure a monitoring solution for the VPC flow logs that can detect anomalies in network traffic over time and initiate a response to the anomaly. The DevOps team can use Amazon Kinesis Data Streams to ingest and process streaming data from CloudWatch Logs. The DevOps team can subscribe the log group to a Kinesis data stream, which will deliver log events from CloudWatch Logs to Kinesis Data Streams in near real-time. The DevOps team can then create an AWS Lambda function to detect log anomalies using machine learning or statistical methods. The Lambda function can be set as a processor for the data stream, which means that it will process each record from the stream before sending it to downstream applications or destinations. The Lambda function can also write to the default Amazon EventBridge event bus if it detects an anomaly, which will allow other AWS services or custom applications to respond to the anomaly event.

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asked 16/09/2024
Vinayak H
35 questions
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