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Viewing questions 41-50 out of questions
Questions # 41:

Your development team has installed a new Linux kernel module on the batch servers in Google Compute Engine (GCE) virtual machines (VMs) to speed up the nightly batch process. Two days after the installation, 50% of web application deployed in the same

nightly batch run. You want to collect details on the failure to pass back to the development team. Which three actions should you take? Choose 3 answers

Options:

A.

Use Stackdriver Logging to search for the module log entries.

B.

Read the debug GCE Activity log using the API or Cloud Console.

C.

Use gcloud or Cloud Console to connect to the serial console and observe the logs.

D.

Identify whether a live migration event of the failed server occurred, using in the activity log.

E.

Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.

F.

Export a debug VM into an image, and run the image on a local server where kernel log messages will be displayed on the native screen.

Expert Solution
Questions # 42:

You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

Options:

A.

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.

B.

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.

C.

Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

D.

Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address name to address the Pod from other microservices within the cluster.

Expert Solution
Questions # 43:

You want to enable your running Google Container Engine cluster to scale as demand for your application

changes.

What should you do?

Options:

A.

Add additional nodes to your Container Engine cluster using the following command:

gcloud container clusters resize CLUSTER_NAME --size 10

B.

Add a tag to the instances in the cluster with the following command:

gcloud compute instances add-tags INSTANCE --tags enable --autoscaling max-nodes-10

C.

Update the existing Container Engine cluster with the following command:

gcloud alpha container clusters update mycluster --enable-autoscaling --min-nodes=1 --max-nodes=10

D.

Create a new Container Engine cluster with the following command:

gcloud alpha container clusters create mycluster --enable-autocaling --min-nodes=1 --max-nodes=10

and redeploy your application.

Expert Solution
Questions # 44:

You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

Options:

A.

Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.

B.

Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.

C.

Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.

D.

Create an App Engine web application where users can upload images for the next 24 hours. Authenticate users via Cloud Identity.

Expert Solution
Questions # 45:

A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?

Options:

A.

In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.

B.

Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.

C.

In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux.

D.

In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk.

E.

In the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.

Expert Solution
Questions # 46:

For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as –is and would still be an optimized architecture for performance in the cloud?

Options:

A.

Web applications deployed using App Engine standard environment

B.

RabbitMQ deployed using an unmanaged instance group

C.

Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

D.

Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types

Expert Solution
Questions # 47:

For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.

What should you do?

Options:

A.

Use Stackdriver Trace to create a trace list analysis.

B.

Use Stackdriver Monitoring to create a dashboard on the project’s activity.

C.

Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.

D.

Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.

Expert Solution
Questions # 48:

For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

Options:

A.

Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.

B.

Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.

C.

Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.

D.

Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.

Expert Solution
Questions # 49:

For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

Options:

A.

Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.

B.

Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.

C.

Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.

D.

Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.

Expert Solution
Questions # 50:

For this question, refer to the Dress4Win case study. You are responsible for the security of data stored in

Cloud Storage for your company, Dress4Win. You have already created a set of Google Groups and assigned the appropriate users to those groups. You should use Google best practices and implement the simplest design to meet the requirements.

Considering Dress4Win’s business and technical requirements, what should you do?

Options:

A.

Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.

Encrypt data with a customer-supplied encryption key when storing files in Cloud Storage.

B.

Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.

Enable default storage encryption before storing files in Cloud Storage.

C.

Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements.

Utilize Google’s default encryption at rest when storing files in Cloud Storage.

D.

Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements. Ensure that the default Cloud KMS key is set before storing files in Cloud Storage.

Expert Solution
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Viewing questions 41-50 out of questions