Associate-Cloud-Engineer Exam Dumps - Google Cloud Certified - Associate Cloud Engineer

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Question # 49

You want to configure 10 Compute Engine instances for availability when maintenance occurs. Your requirements state that these instances should attempt to automatically restart if they crash. Also, the instances should be highly available including during system maintenance. What should you do?

Create an instance template for the instances. Set the â€˜Automatic Restartâ€™ to on. Set the â€˜On-host maintenanceâ€™ to Migrate VM instance. Add the instance template to an instance group.

Create an instance template for the instances. Set â€˜Automatic Restartâ€™ to off. Set â€˜On-host maintenanceâ€™ to Terminate VM instances. Add the instance template to an instance group.

Create an instance group for the instances. Set the â€˜Autohealingâ€™ health check to healthy (HTTP).

Create an instance group for the instance. Verify that the â€˜Advanced creation optionsâ€™ setting for â€˜do not retry machine creationâ€™ is set to off.

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Answer:

Explanation:

Create an instance template for the instances so VMs have same specs. Set the "ËœAutomatic Restart' to on to VM automatically restarts upon crash. Set the "ËœOn-host maintenance' to Migrate VM instance. This will take care of VM during maintenance window. It will migrate VM instance making it highly available Add the instance template to an instance group so instances can be managed.

â€¢ onHostMaintenance: Determines the behavior when a maintenance event occurs that might cause your instance to reboot.

â€¢ [Default] MIGRATE, which causes Compute Engine to live migrate an instance when there is a maintenance event.

â€¢ TERMINATE, which stops an instance instead of migrating it.

â€¢ automaticRestart: Determines the behavior when an instance crashes or is stopped by the system.

â€¢ [Default] true, so Compute Engine restarts an instance if the instance crashes or is stopped.

â€¢ false, so Compute Engine does not restart an instance if the instance crashes or is stopped.

Enabling automatic restart ensures that compute engine instances are automatically restarted when they crash. And Enabling Migrate VM Instance enables live migrates i.e. compute instances are migrated during system maintenance and remain running during the migration.

Automatic RestartÂ If your instance is set to terminate when there is a maintenance event, or if your instance crashes because of an underlying hardware issue, you can set up Compute Engine to automatically restart the instance by setting the automaticRestart field to true. This setting does not apply if the instance is taken offline through a user action, such as calling sudo shutdown, or during a zone outage.

Ref:Â https://cloud.google.com/compute/docs/instances/setting-instance-scheduling-options#autorestart

Enabling the Migrate VM Instance option migrates your instance away from an infrastructure maintenance event, and your instance remains running during the migration.Your instance might experience a short period of decreased performance, although generally, most instances should not notice any difference. This is ideal for instances that require constant uptime and can tolerate a short period of decreased performance.

Ref:Â https://cloud.google.com/compute/docs/instances/setting-instance-scheduling-options#live_migrate

Question # 50

You are using Google Kubernetes Engine with autoscaling enabled to host a new application. You want to expose this new application to the public, using HTTPS on a public IP address. What should you do?

Create a Kubernetes Service of type NodePort for your application, and a Kubernetes Ingress to expose this Service via a Cloud Load Balancer.

Create a Kubernetes Service of type ClusterIP for your application. Configure the public DNS name of your application using the IP of this Service.

Create a Kubernetes Service of type NodePort to expose the application on port 443 of each node of the Kubernetes cluster. Configure the public DNS name of your application with the IP of every node of the cluster to achieve load-balancing.

Create a HAProxy pod in the cluster to load-balance the traffic to all the pods of the application. Forward the public traffic to HAProxy with an iptable rule. Configure the DNS name of your application using the public IP of the node HAProxy is running on.

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Question # 51

A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

Google Compute Engine

Google App Engine

Cloud Functions

Google Kubernetes Engine

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Question # 52

Your web application has been running successfully on Cloud Run for Anthos. You want to evaluate an updated version of the application with a specific percentage of your production users (canary deployment). What should you do?

Create a new service with the new version of the application. Split traffic between this version and the version that is currently running.

Create a new revision with the new version of the application. Split traffic between this version and the version that is currently running.

Create a new service with the new version of the application. Add an HTTP Load Balancer in front of both services.

Create a new revision with the new version of the application. Add an HTTP Load Balancer in front of both revisions.

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Question # 53

You are planning to migrate a database and a backend application to a Standard Google Kubernetes Engine (GKE) cluster. You need to prevent data loss and make sure there are enough nodes available for your backend application based on the demands of your workloads. You want to follow Google-recommended practices and minimize the amount of manual work required. What should you do?

Run your database as a StatefulSet. Configure cluster autoscaling to handle changes in the demands of your workloads.

Run your database as a single Pod. Run the resize command when you notice changes in the demands of your workloads.

Run your database as a Deployment. Configure cluster autoscaling to handle changes in the demands of your workloads.

Run your database as a DaemonSet. Run the resize command when you notice changes in the demands of your workloads.

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Question # 54

Your team maintains the infrastructure for your organization. The current infrastructure requires changes. You need to share your proposed changes with the rest of the team. You want to follow Googleâ€™s recommended best practices. What should you do?

Use Deployment Manager templates to describe the proposed changes and store them in a Cloud Storage bucket.

Use Deployment Manager templates to describe the proposed changes and store them in Cloud Source Repositories.

Apply the change in a development environment, run gcloud compute instances list, and then save the output in a shared Storage bucket.

Apply the change in a development environment, run gcloud compute instances list, and then save the output in Cloud Source Repositories.

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Question # 55

You are planning to migrate the following on-premises data management solutions to Google Cloud:

â€¢ One MySQL cluster for your main database

â€¢ Apache Kafka for your event streaming platform

â€¢ One Cloud SOL for PostgreSOL database for your analytical and reporting needs

You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management. What should you do?

Migrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL

Migrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SOL for PostgreSQL to Cloud SQL

Migrate from MySQL to Cloud SOL, from Kafka to Pub/Sub, and from Cloud SOL for PostgreSQL to BigQuery.

Migrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub. and from Cloud SQL for PostgreSQL to BigQuery

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Question # 56

You manage three Google Cloud projects with the Cloud Monitoring API enabled. You want to follow Google-recommended practices to visualize CPU and network metrics for all three projects together. What should you do?

1. Create a Cloud Monitoring Dashboard2. Collect metrics and publish them into the Pub/Sub topics 3. Add CPU and network Charts (or each of (he three projects

1. Create a Cloud Monitoring Dashboard.2. Select the CPU and Network metrics from the three projects.3. Add CPU and network Charts lot each of the three protects.

1 Create a Service Account and apply roles/viewer on the three projects2. Collect metrics and publish them lo the Cloud Monitoring API3. Add CPU and network Charts for each of the three projects.

1. Create a fourth Google Cloud project2 Create a Cloud Workspace from the fourth project and add the other three projects

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