Professional Cloud Architect on Google Cloud Platform Dress4win Practice Questions

For this question, refer to the Dress4Win case study. Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation. What should you advise?

• AA. Identify self-contained applications with external dependencies as a first move to the cloud.
• BB. Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.
• CC. Suggest moving their in-house databases to the cloud and continue serving requests to on-premise applications.
• DD. Recommend moving their message queuing servers to the cloud and continue handling requests to on-premise applications.

For this question, refer to the Dress4Win case study. As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The customer has exclusive control over who may view these images. Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in. Which configuration should Dress4Win use?

• AA. Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that maps each customer's ID and their image files.
• BB. Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in Cloud Storage that contains the customer's unique ID.
• CC. Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring privacy of images.
• DD. Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's ID to their image files.

Dress4win has end to end tests covering 100% of their endpoints. They want to ensure that the move of cloud does not introduce any new bugs. Which additional testing methods should the developers employ to prevent an outage?

• AA. They should run the end to end tests in the cloud staging environment to determine if the code is working as intended.
• BB. They should enable google stack driver debugger on the application code to show errors in the code
• CC. They should add additional unit tests and production scale load tests on their cloud staging environment.
• DD. They should add canary tests so developers can measure how much of an impact the new release causes to latency

For this question, refer to the Dress4Win case study. The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?

• AA. Grant the operations engineers access to use Google Cloud Shell.
• BB. Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
• CC. Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.
• DD. Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

For this question, refer to the Dress4Win case study. Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

• AA. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
• BB. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
• CC. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
• DD. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.