Google Exam Professional Cloud Architect Topic 11 Question 84 Discussion

Actual exam question for Google's Professional Cloud Architect exam

Question #: 84
Topic #: 11

[All Professional Cloud Architect Questions]

You are using Cloud SQL as the database backend for a large CRM deployment. You want to scale as usage increases and ensure that you don't run out of storage, maintain 75% CPU usage cores, and keep replication lag below 60 seconds. What are the correct steps to meet your requirements?

A1) Enable automatic storage increase for the instance.
2) Create a Stackdriver alert when CPU usage exceeds 75%, and change the instance type to reduce
CPU usage.
3) Create a Stackdriver alert for replication lag, and shard the database to reduce replication time.

B1) Enable automatic storage increase for the instance.
2) Change the instance type to a 32-core machine type to keep CPU usage below 75%.
3) Create a Stackdriver alert for replication lag, and shard the database to reduce replication time.

C1) Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the
instance to create more space.
2) Deploy memcached to reduce CPU load.
3) Change the instance type to a 32-core machine type to reduce replication lag.

D1) Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the
instance to create more space.
2) Deploy memcached to reduce CPU load.
3) Create a Stackdriver alert for replication lag, and change the instance type to a 32-core machine type to reduce replication lag.

Show Suggested Answer

Suggested Answer: A

The Data Transfer appliance is a Google-provided hardware device that can be used to transfer large amounts of data from on-premises environments to Cloud Storage. It is suitable for scenarios where the bandwidth between the on-premises environment and Google Cloud is low or insufficient, and the data size is large. The Data Transfer appliance can minimize the time it takes to complete the migration, the overall cost and database load, by avoiding network bottlenecks and reducing bandwidth consumption. The Data Transfer appliance also encrypts the data at rest and in transit, ensuring data security and privacy. The other options are not optimal for this scenario, because they either require a high-bandwidth network connection (B, C, D), or incur additional costs and complexity (B, C). Reference:

https://cloud.google.com/data-transfer-appliance/docs/overview

https://cloud.google.com/blog/products/storage-data-transfer/introducing-storage-transfer-service-for-on-premises-data

by Yaeko at Jun 02, 2024, 07:53 AM

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Devorah

23 hours ago

Option A seems to cover all the bases - automatic storage increase, CPU usage monitoring, and replication lag monitoring. Sharding the database is a nice touch to reduce replication time.

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