You require the ability to analyze a large amount of data, which is stored on Amazon S3 using Amazon Elastic
Map Reduce. You are using the cc2 8x large Instance type, whose CPUs are mostly idle during processing.
Which of the below would be the most cost efficient way to reduce the runtime of the job?

Your department creates regular analytics reports from your company’s log files All log data is collected in
Amazon S3 and processed by daily Amazon Elastic MapReduce (EMR) jobs that generate daily PDF reports
and aggregated tables in CSV format for an Amazon Redshift data warehouse.
Your CFO requests that you optimize the cost structure for this system.
Which of the following alternatives will lower costs without compromising average performance of the system or
data integrity for the raw data?

You currently operate a web application In the AWS US-East region The application runs on an auto-scaled
layer of EC2 instances and an RDS Multi-AZ database Your IT security compliance officer has tasked you to
develop a reliable and durable logging solution to track changes made to your EC2.IAM And RDS resources.
The solution must ensure the integrity and confidentiality of your log dat

A large real-estate brokerage is exploring the option o( adding a cost-effective location based alert to their
existing mobile application The application backend infrastructure currently runs on AWS Users who opt in to
this service will receive alerts on their mobile device regarding real-estate otters in proximity to their location.
For the alerts to be relevant delivery time needs to be in the low minute count the existing mobile app has 5
million users across the US. Which one of the following architectural suggestions would you make to the
customer?

You are the new IT architect in a company that operates a mobile sleep tracking application.
When activated at night, the mobile app is sending collected data points of 1 kilobyte every 5 minutes to your
backend.
The backend takes care of authenticating the user and writing the data points into an Amazon DynamoDB
table.
Every morning, you scan the table to extract and aggregate last night’s data on a per user basis, and store the
results in Amazon S3. Users are notified via Amazon SNS mobile push notifications that new data is available,
which is parsed and visualized by the mobile app.
Currently you have around 100k users who are mostly based out of North America.
You have been tasked to optimize the architecture of the backend system to lower cost.
What would you recommend? Choose 2 answers