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NEW QUESTION 24
You have just recently deployed an application on EC2 instances behind an ELB. After a couple of weeks, customers are complaining on receiving errors from the application. You want to diagnose the errors and are trying to get errors from the ELB access logs. But the ELB access logs are empty. What is the reason for this.

A. You do not have your CloudWatch metrics correctly configuredB. Access logging is an optional feature of Elastic Load Balancing that is disabled by defaultC. You do not have the appropriate permissions to access the logsD. ELB Access logs are only available for a maximum of one week.

Answer: B

Explanation:
Clastic Load Balancing provides access logs that capture detailed information about requests sent to your load balancer. Cach log contains information such as the time the request was received, the client's IP address, latencies, request paths, and server responses. You can use these access logs to analyze traffic patterns and to troubleshoot issues.
Access logging is an optional feature of Elastic Load Balancing that is disabled by default. After you enable access logging for your load balancer. Clastic Load Balancing captures the logs and stores them in the Amazon S3 bucket that you specify. You can disable access logging at any time.
For more information on CLB access logs, please refer to the below document link: from AWS
http://docs.aws.amazon.com/elasticloadbalancing/latest/classic/access-log-collection. html

 

NEW QUESTION 25
You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your CTO?

A. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR cluster jobs to perform ad-hoc MapReduce analysis and write new queries when needed.B. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to perform at-scale stream processing queries on the log chunks and flag issues.C. Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elasticsearch Service Domain running Kibana 4 and perform log analysis on a search cluster.D. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as they come in and flag issues.

Answer: C

Explanation:
The Elasticsearch and Kibana 4 combination is called the ELK Stack, and is designed specifically for real-time, ad-hoc log analysis and aggregation. All other answers introduce extra delay or require pre-defined queries.
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.
https://aws.amazon.com/elasticsearch-service/

 

NEW QUESTION 26
Your application has an Auto Scaling group of m3.large instances running an application that receives messages born an Amazon SQS queue.
After a while, the number of instances reaches the maximum set for the group and the number of messages on the queue continues to increase.
You have discovered that a third- party library used by the application has a bug that causes a memory leak.
What cost-effective steps can you take to continue message processing while the library developer fixes the bug?

A. Use application monitoring on the instance to restart the application when memory usage reaches a defined level.B. Create a new Auto Scaling launch configuration to use the r3.large instance type.
Update the Auto Scaling group with the new launch configuration.C. Enable Elastic Load Balancing health checks for the Auto Scaling group.
When Elastic Load Balancing has detected a failure, Auto Scaling will terminate the failing application's instance and launch a new one.D. Use Amazon EC2 instance memory usage CloudWatch metrics to raise alerts when they reach a defined level and send a message to Auto Scaling to fail the instance health check.

Answer: B

 

NEW QUESTION 27
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