Cloud Architect 50 preg (146-97) v2

What should you do?

• Develop a Dataflow job to read data directly from the database and write it into Cloud Storage.

• Use the Data Transfer appliance to perform an offline migration.

• Use a commercial partner ETL solution to extract the data from the on-premises database and upload it into Cloud Storage.

• Compress the data and upload it with gsutil -m to enable multi-threaded copy.

What should you do?

• Configure a Kubernetes lifecycle hook to prevent the container from starting if it is not approved for usage in the given environment.

• Implement a corporate policy to prevent teams from deploying Docker images to an environment unless the Docker image was tested in an earlier environment.

• Configure binary authorization policies for the development, staging, and production clusters. Create attestations as part of the continuous integration pipeline.

• Create a Kubernetes admissions controller to prevent the container from starting if it is not approved for usage in the given environment.

What should you do?

• Grant all department members the required IAM permissions for their respective projects.

• Create a Google Group per department and add all department members to their respective groups. Create a folder per department and grant the respective group the required IAM permissions at the folder level. Add the projects under the respective folders.

• Create a folder per department and grant the respective members of the department the required IAM permissions at the folder level. Structure all projects for each department under the respective folders.

• Create a Google Group per department and add all department members to their respective groups. Grant each group the required IAM permissions for their respective projects.

What should you do?

• Send the data through the processing pipeline, and then store the processed data in a BigQuery table for reprocessing.

• Store the data in a BigQuery table. Design the processing pipelines to retrieve the data from the table.

• Send the data through the processing pipeline, and then store the processed data in a Cloud Storage bucket for reprocessing.

• Store the data in a Cloud Storage bucket. Design the processing pipelines to retrieve the data from the bucket.

Which approach should you recommend?

• Develop the application with containers, and deploy to Google Kubernetes Engine.

• Develop the application for App Engine standard environment.

• Use a Managed Instance Group when deploying to Compute Engine.

• Develop the application for App Engine flexible environment, using a custom runtime.

Your company is developing a web-based application. You need to make sure that production deployments are linked to source code commits and are fully auditable. What should you do?

• Make sure a developer is tagging the code commit with the date and time of commit.

• Make sure a developer is adding a comment to the commit that links to the deployment.

• Make the container tag match the source code commit hash.

• Make sure the developer is tagging the commits with latest.

What should you do?

• Use kubectl autoscale deployment APP_NAME --max 6 --min 2 --cpu-percent 50 to configure Kubernetes autoscaling deployment.

• Configure a Kubernetes autoscaling deployment based on the subscription/push_request_latencies metric.

• Use the --enable-autoscaling flag when you create the Kubernetes cluster.

• Configure a Kubernetes autoscaling deployment based on the subscription/num_undelivered_messages metric.

What should you do?

• Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.

• Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.

• Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP(S) load balancer to expose the different clusters over a single global IP address.

• Use Cloud Debugger in the development environment to understand the latency between the different microservices.

Which advantage(s) should they highlight to leadership?

• The new approach will be significantly less costly, make it easier to manage the underlying infrastructure, and automatically manage the CI/CD pipelines.

• The monolithic solution can be converted to a container with Docker. The generated container can then be deployed into a Kubernetes cluster.

• The new approach will make it easier to decouple infrastructure from application, develop and release new features, manage the underlying infrastructure, manage CI/CD pipelines and perform A/B testing, and scale the solution if necessary.

• The process can be automated with Migrate for Compute Engine.

What should you do?

• Create a distribution list of all customers to inform them of an upcoming backward-incompatible change at least one month before replacing the old API with the new API.

• Create an automated process to generate API documentation, and update the public API documentation as part of the CI/CD process when deploying an update to the API.

• Use a versioning strategy for the APIs that increases the version number on every backward-incompatible change.

• Use a versioning strategy for the APIs that adds the suffix ג€DEPRECATEDג€ to the current API version number on every backwardincompatible change. Use the current version number for the new API.