Your Application Consists of 10% Writes and 90% Reads

question 100

Multiple Choice

Your application consists of 10% writes and 90% reads. You currently service all requests through a Route53 Alias Record directed towards an AWS ELB, which sits in front of an EC2 Auto Scaling Group. Your system is getting very expensive when there are large traffic spikes during certain news events, during which many more people request to read similar data all at the same time. What is the simplest and cheapest way to reduce costs and scale with spikes like this?

• A) Create an S3 bucket and asynchronously replicate common requests responses into S3 objects. When a request comes in for a precomputed response, redirect to AWS S3.
• B) Create another ELB and Auto Scaling Group layer mounted on top of the other system, adding a tier to the system. Serve most read requests out of the top layer.
• C) Create a CloudFront Distribution and direct Route53 to the Distribution. Use the ELB as an Origin and specify Cache Behaviours to proxy cache requests which can be served late.
• D) Create a Memcached cluster in AWS ElastiCache. Create cache logic to serve requests which can be served late from the in-memory cache for increased performance.

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Definitions:

Poor Communities

Social groups or areas characterized by a lack of financial resources and access to basic needs, often resulting in higher rates of poverty and inequality.

M3

Represents an even broader definition of the money supply, including M2 plus larger time deposits, institutional money market funds, and larger liquid assets.

M2

An expansive categorization of money that encompasses cash, checking deposits, and forms of near money that can be easily converted into cash or used for payments.

M1

M1 encompasses the most liquid forms of money supply, including cash and assets that can quickly be converted to cash.