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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 id…

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AWS Certified Solutions Architect - Monitoring and Health Example Questions

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Question 1

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?

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 2

An application recently launched on AWS is showing intermittent slowdowns. You want to track resource utilization and application performance by collecting metrics, creating dashboards, and setting alarms to detect thresholds. Which AWS service should you use?

Correct Answer: Amazon CloudWatch

Amazon CloudWatch is the AWS service for centralized monitoring and observability of applications and infrastructure. It collects and stores metrics, logs, and events; enables custom and built-in dashboards; and provides alarms to alert on thresholds. These capabilities help you detect performance issues, correlate them with resource utilization, and take action. AWS X-Ray focuses on distributed tracing of individual requests rather than broad metrics and alarms, Amazon Route 53 is a DNS and traffic routing service, and AWS AppConfig manages application configuration changes.

Question 3

A company needs to ingest continuous telemetry from millions of IoT devices into AWS and retain at least 10 TB of data for ongoing near-real-time monitoring and analytics using services such as Amazon Athena and Amazon EMR. The storage must be highly durable, cost-effective at scale, support high-throughput writes, and make data immediately available for query (not archival). Which AWS storage service should be used to store the raw telemetry?

Correct Answer: Amazon S3

Amazon S3 is the best choice for storing large volumes of IoT telemetry for near-real-time analytics because it provides virtually unlimited scalability, 11 nines of durability, high-throughput ingestion, and immediate availability of data for query. It integrates natively with analytics services like Amazon Athena, Amazon EMR, AWS Glue, and can be fed by Kinesis Data Firehose for continuous delivery. S3 offers cost-effective storage tiers and read-after-write consistency for new objects, enabling fast monitoring and analysis without archival delays. Amazon DynamoDB is a NoSQL database optimized for key-value/document access patterns, not a cost-effective data lake for tens of terabytes of raw telemetry. Amazon Glacier (S3 Glacier) is designed for archival with retrieval delays, which does not meet near-real-time access needs. AWS Snowball is a data transfer appliance, not a persistent cloud storage service.

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