ASSOCIATE-CLOUD-ENGINEER · Question #87
ASSOCIATE-CLOUD-ENGINEER Question #87: Real Exam Question with Answer & Explanation
The correct answer is A: Create a Cloud Memorystore for Redis instance with 32-GB capacity.. What it's good for Memorystore for Redis provides a fast, in-memory store for use cases that require fast, real-time processing of data. From simple caching use cases to real time analytics, Memorystore for Redis provides the performance you need. Caching: Cache is an integral pa
Question
You want to run a single caching HTTP reverse proxy on GCP for a latency-sensitive website. This specific reverse proxy consumes almost no CPU. You want to have a 30-GB in-memory cache, and need an additional 2 GB of memory for the rest of the processes. You want to minimize cost. How should you run this reverse proxy?
Options
- ACreate a Cloud Memorystore for Redis instance with 32-GB capacity.
- BRun it on Compute Engine, and choose a custom instance type with 6 vCPUs and 32 GB of
- CPackage it in a container image, and run it on Kubernetes Engine, using n1-standard-32
- DRun it on Compute Engine, choose the instance type n1-standard-1, and add an SSD persistent
Explanation
What it's good for Memorystore for Redis provides a fast, in-memory store for use cases that require fast, real-time processing of data. From simple caching use cases to real time analytics, Memorystore for Redis provides the performance you need. Caching: Cache is an integral part of modern application architectures. Memorystore for Redis provides low latency access and high throughput for heavily accessed data, compared to accessing the data from a disk based backend store. Session management, frequently accessed queries, scripts, and pages are common examples of caching. https://cloud.google.com/memorystore/docs/redis/redis-overview#what_its_good_for
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