Monitoring and Health

5 minutes 5 Questions

Monitoring and health refer to tracking an application's performance, analyzing its components, and addressing any issues that arise during its operation. AWS Elastic Beanstalk incorporates Amazon CloudWatch to monitor, log, and alert users in case of any infrastructure anomalies, ensuring quick identification and resolution of problems. Elastic Beanstalk provides health status information for environments, allowing users to evaluate an app's performance based on a predefined set of rules. Consequently, users can fine-tune application configurations, identify issues, and ensure smooth and efficient application performance.

Guide: Monitoring and Health with AWS Elastic Beanstalk

AWS Elastic Beanstalk provides a platform to easily deploy and run applications in popular programming languages.
Why is it important?
Monitoring the health of your applications is crucial in order to avoid any potential issues, ensure the availability and reliability of your application as well as optimize its performance.
What is it?
AWS Elastic Beanstalk provides various health monitoring options. These options give you the ability to track the health status and receive notifications about the instances in your environment.
How does it work?
AWS Elastic Beanstalk monitors your applications, servers, and instances in real-time, returning metrics like request latency and CPU usage. Alerts and notifications can be set up to inform you whenever a threshold is crossed.
Exam Tips: Answering Questions on Monitoring and Health
It's essential to understand different health statuses like 'Ok', 'Warning', 'Degraded' and 'Severe'. Know how to set up monitoring and alerts using Amazon CloudWatch. Be aware of health monitoring options such as Instance Health, Environment Health, and Enhanced Health.
Lastly, questions may involve scenarios where you need to diagnose an application issue based on the given health information. Mastering the art of correlating application behavior with health status will be quite beneficial.

Test mode:

Exam (Timed)

Practice (With explanations)

Start practice test

Question 1

A company has launched their new IoT devices that send data continuously to their cloud backend hosted on AWS. The company needs to store at least 10TB of data for real-time monitoring and analysis. Which AWS storage service should be used?

Amazon DynamoDB AWS Snowball Amazon Glacier Amazon S3

Correct Answer: Amazon S3

Amazon S3 (Simple Storage Service) is the most suitable AWS storage service for storing at least 10TB of data for real-time monitoring and analysis of IoT device data. S3 provides virtually unlimited scalability, high durability, and low-latency access, making it ideal for storing large amounts of data from IoT devices. It supports various data ingestion methods, including direct API calls and integration with other AWS services like Kinesis and IoT Core. S3 also offers different storage classes for cost optimization and features like lifecycle policies for data management. Unlike DynamoDB (which is for structured data), Glacier (for long-term archival), Snowball (for data transfer), Storage Gateway (for hybrid cloud storage), or EBS (for block storage attached to EC2 instances), S3 is specifically designed to handle large-scale object storage with high throughput and low latency, making it the best choice for this IoT data storage scenario.

Question 2

You are tasked with monitoring the health of an application's EC2 instances. You must ensure that if an instance becomes unhealthy, it is replaced automatically. Which AWS service should you use?

AWS Auto Scaling AWS Elastic Beanstalk Amazon S3 Transfer Acceleration AWS CodeDeploy

Correct Answer: AWS Auto Scaling

AWS Auto Scaling is designed to help you ensure that your EC2 instances stay healthy by replacing unhealthy instances automatically. Other options are either focused on different aspects of application management or don't provide the automatic instance-replacement feature required for this scenario.

Question 3

A newly-launched application on AWS is experiencing performance issues. To identify and resolve the bottlenecks in the application, which AWS service can you use for monitoring and metrics?

Amazon Route 53 AWS AppConfig Amazon CloudWatch AWS X-Ray

Correct Answer: Amazon CloudWatch

Amazon CloudWatch is an AWS monitoring service for resources that is designed to help you gain system-wide visibility into resource utilization, performance, and operational health. Other services either focus on different aspects (such as security or distributed applications) or do not provide the monitoring features needed for this scenario.

Go Premium