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https://cloud.google.com/certification/cloud-architect Definitely go through the Case Studies as they cover at least 30% of the exam questions. You do have a window pane of the case studies available for you to refer to.
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https://cloud.google.com/certification/practice-exam/cloud-architect I found this as a good gauge of how 'ready' you are for the exam. It does give you a good sense of what the exam will be like
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https://gcp.solutions Cookbook of GCP Solutions
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Linux Academy Google Certified Professional Cloud Architect course - especially Part 3 https://linuxacademy.com/cp/modules/view/id/166 It also has a 50-question practice exam at the end
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GCP and AWS Service Comparison https://cloud.google.com/docs/compare/aws/
- Similar to the Practice Exam
- I found that mine had a mix of questions on:
- Case Study questions / scenarios
- Storage Classes
- Migration / Back-ups Best Practices
- Stackdriver Logging
- Basic gsutil / gcloud commands
- Data Flow Lifecycle
- Networking
- IAM
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Read every question carefully and be on the lookout for 'key phrases'. I know it goes without saying, but it's easy to skim through the question and make up your mind about the answer. This includes phrases such as:
- 'Cost effective'
- 'Minimal impact'
- 'Across multiple regions'
- 'On premise data transfer'
The practice exam had a few of these. Eg.
Company A wants to migrate to the cloud, and their first step is to move 1 TB of their on-premise data into GCS. What would you recommend?
a. gsutil cp with parallel processing enabled
b. Google Cloud Storage Transfer Service
c. GCSFuse, a tool to bridge the on premise to Google Cloud
d. Data Transfer Appliance
A lot of the choices are good solutions, but always go for the most appropriate one based off the requirements. This is particularly key with the Case Studies.
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Know the common gsutils and gcloud compute commands. I've had at least 3 questions on the commands needed to:
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Do parallel uploads in GCS
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Delete a version of an object
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Ensure that the persistent disk attached to an instance isn't deleted
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Understand and know the different components for each Data Flow Lifecycle (https://cloud.google.com/solutions/data-lifecycle-cloud-platform)
- Ingest
- Store
- Process and analyse
- Evaluate and visualise
Apart from the 'Evaluate and visualise', these got asked a lot from the context of the Case Studies.
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In addition to the above, it's imperative that you're able to distinguish between all the different storage options. This flow chart helped a lot (https://cloud.google.com/storage-options/).
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I should've read more on Stackdriver as I got more questions on it than what I expected