Discover how to leverage the Cache-Control: max-age directive at the origin to set varying Time to Live (TTL) values for individual objects within the constraints of your Amazon CloudFront distribution settings.
Table of Contents
Question
A SysOps administrator manages the caching of an Amazon CloudFront distribution that serves pages of a website, The SysOps administrator needs to configure the distribution so that the TTL of individual pages can vary. The TTL of the individual pages must remain within the maximum TLL and the minimum TTL that are set for the distribution.
Which solution will meet these requirements?
A. Create an AWS Lambda function that calls the Createlnvalidation API operation when a change in cache time is necessary.
B. Add a Cache-Control: max-age directive to the object at the origin when content is being returned to CloudFront.
C. Add a no-cache header through a Lambda@Edge function in response to the Viewer response.
D. Add.an Expires header through a CloudFront function in response to the Viewer response.
Answer
B. Add a Cache-Control: max-age directive to the object at the origin when content is being returned to CloudFront.
Explanation
To allow varying Time to Live (TTL) values for individual objects (pages) within the maximum and minimum TTL settings of an Amazon CloudFront distribution, the Cache-Control: max-age directive should be added to the objects at the origin.
When CloudFront retrieves an object from the origin, it checks for the Cache-Control header in the response. The max-age value in this header specifies the TTL for that specific object in seconds. CloudFront will cache the object for the duration specified by max-age, as long as it falls within the minimum and maximum TTL values set for the distribution.
By dynamically setting the Cache-Control: max-age directive for each object at the origin, the website can control the caching behavior of individual pages independently, while still adhering to the distribution-level TTL constraints.
This solution allows for granular control over caching without the need for additional services or Lambda functions, making it a straightforward and efficient approach.
Other options are either not applicable or do not fully meet the requirements:
A. Creating an AWS Lambda function and calling the CreateInvalidation API operation would invalidate the cache, but it does not provide a mechanism to set varying TTLs for individual objects.
C. Adding a no-cache header through a Lambda@Edge function would prevent caching entirely, which is not the desired behavior.
D. Adding an Expires header through a CloudFront function would set a fixed expiration time for all objects, rather than allowing varying TTLs.
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