Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 click-through per day. The link leads to a simple website that explains the promotion and collects user information and preferences.
Which infrastructure should you recommend? (Choose two.)
AC
Reference:
https://cloud.google.com/storage-options/
A & C seems to be the correct answer.
A. Use Google App Engine to serve the website and Google Cloud Datastore to store user data. C. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
Why not D?
Because a single GCE instance might not be able to handle the unpredictable load
A: Google App Engine is a fully managed platform for building and running web applications and APIs. It can automatically scale to meet high traffic demands, making it a good choice for serving the website for the promotional email campaign. Google Cloud Datastore can also scale automatically to meet high traffic demands, making it a good choice for storing user data. C: A managed instance group are managed as a single entity and can automatically scale up or down based on demand. This makes it a good choice for serving the website for the promotional email campaign. Google Cloud Bigtable is a fully managed, high-performance NoSQL database that can store and serve large amounts of structured data with low latency. It is designed to scale horizontally and can handle high traffic demands, making it a good choice for storing user data.
B, using a Google Container Engine cluster to serve the website and store data to persistent disk, could be a valid solution as well. However, persistent disks may not be able to scale horizontally to meet high traffic demands, which could impact the performance of the website. D, using a single Compute Engine VM to host a web server, backed by Google Cloud SQL, would not be a good choice for this scenario. A single VM would not be able to scale to meet the wide range of possible traffic levels for the promotional email campaign, and Google Cloud SQL may not be able to scale horizontally to meet high traffic demands.
A & B with less operations management. Also Containers and App Engine as the clicks varies.
But user data storing in persistent disks? Not correct to me. Seems A & C
"Google Container Engine" does not exist, only "GKE", but operating a Kubernetes cluster is not easy, in that case, an option could be Cloud Run.
A and C is right choice, D is saying single VM
Cloud Data store and Big Table are the only solutions that can handle 500000 clicks
AC (100%) !!!
A only, choose two - App Engine + Datastore Use GAE to serve the website and Google Datastore to store user data. GCE – is too complex solution with specific OS to maintain. GKE – is for microservices apps, and Persistent Disk is not good solution for relational data storage; GAE – is fast and reliable solution, you write just code and run it on fully managed service. DataStore also matches perfectly since intended for storing user profiles, key-value pairs.
AC is the correct answer.
A & C seems to be the correct answer.
Why not B, GKE si best fit and preferred over MI
Both bigtable and datastore seem like overkill solutions but A&C are the only options that make sense here. In the real world use BigQuery and either App Engine or Cloud Run.