An e-commerce company tracks user clicks on its flagship website and performs analytics to provide near-real-time product recommendations. An Amazon EC2 instance receives data from the website and sends the data to an Amazon Aurora Database instance. Another Amazon EC2 instance continuously checks the changes in the database and executes SQL queries to provide recommendations. Now, the company wants a redesign to decouple and scale the infrastructure. The solution must ensure that data can be analyzed in real-time without any data loss even when the company sees huge traffic spikes.

What would you recommend as an AWS Certified Solutions Architect - Associate?

Leverage Amazon SQS to capture the data from the website. Configure a fleet of Amazon EC2 instances under an Auto scaling group to process messages from the Amazon SQS queue and trigger the scaling policy based on the number of pending messages in the queue. Perform real-time analytics using a third-party library on the Amazon EC2 instances

Leverage Amazon Kinesis Data Streams to capture the data from the website and feed it into Amazon QuickSight which can query the data in real time. Lastly, the analyzed feed is output into Kinesis Data Firehose to persist the data on Amazon S3

Leverage Amazon Kinesis Data Streams to capture the data from the website and feed it into Amazon Kinesis Data Firehose to persist the data on Amazon S3. Lastly, use Amazon Athena to analyze the data in real time

Leverage Amazon Kinesis Data Streams to capture the data from the website and feed it into Amazon Kinesis Data Analytics which can query the data in real time. Lastly, the analyzed feed is output into Amazon Kinesis Data Firehose to persist the data on Amazon S3

You can use Amazon Kinesis Data Streams to build custom applications that process or analyze streaming data for specialized needs. Amazon Kinesis Data Streams manages the infrastructure, storage, networking, and configuration needed to stream your data at the level of your data throughput. You don't have to worry about provisioning, deployment, or ongoing maintenance of hardware, software, or other services for your data streams.

For the given use case, you can use Amazon Kinesis Data Analytics to transform and analyze incoming streaming data from Kinesis Data Streams in real time. Kinesis Data Analytics takes care of everything required to run streaming applications continuously, and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, there are no servers to manage, no minimum fee or setup cost, and you only pay for the resources your streaming applications consume.

You started a new job as a solutions architect at a company that has both AWS experts and people learning AWS. Recently, a developer misconfigured a newly created Amazon RDS database which resulted in a production outage.

How can you ensure that Amazon RDS specific best practices are incorporated into a reusable infrastructure template to be used by all your AWS users?

Attach an IAM policy to interns preventing them from creating an Amazon RDS database

Store your recommendations in a custom AWS Trusted Advisor rule

Create an AWS Lambda function which sends emails when it finds misconfigured Amazon RDS databases

Use AWS CloudFormation to manage Amazon RDS databases

“reusable infrastructure template”

A company has grown from a small startup to an enterprise employing over 1000 people. As the team size has grown, the company has recently observed some strange behavior, with Amazon S3 buckets settings being changed regularly.