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Google Cloud Professional Cloud Architect PT 9

Emmanuel Jimenez 21 questions

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Questions in this quiz (21)

  1. 1Your company has a stateless web API that performs scientific calculations. The web API runs on a single Google Kubernetes Engine (GKE) cluster. The cluster is currently deployed in us-central1. Your company has expanded to offer your API to customers in Asia. You want to reduce the latency for users in Asia.
    What should you do?
    1. AA. Create a second GKE cluster in asia-southeast1, and expose both APIs using a Service of type LoadBalancer. Add the public IPs to the Cloud DNS zone.
    2. BB. Use a global HTTP(s) load balancer with Cloud CDN enabled.
    3. CC. Create a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer.
    4. DD. Increase the memory and CPU allocated to the application in the cluster.
  2. 2You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud. You are unsure about the optimum CPU and memory options. The applications have a consistent usage pattern across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?
    1. AA. Create an instance template with the smallest available machine type, and use an image of the third-party application taken from a current on-premises virtual machine. Create a managed instance group that uses average CPU utilization to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.
    2. BB. Create an App Engine flexible environment, and deploy the third-party application using a Dockerfile and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.
    3. CC. Create multiple Compute Engine instances with varying CPU and memory options. Install the Cloud Monitoring agent, and deploy the third-party application on each of them. Run a load test with high traffic levels on the application, and use the results to determine the optimal settings.
    4. DD. Create a Compute Engine instance with CPU and memory options similar to your application's current onpremises virtual machine. Install the Cloud Monitoring agent, and deploy the third-party application. Run a load test with normal traffic levels on the application, and follow the Rightsizing Recommendations in the Cloud Console.
  3. 3Your company has a Google Cloud project that uses BigQuery for data warehousing. They have a VPN tunnel between the on-premises environment and Google Cloud that is configured with Cloud VPN. The security team wants to avoid data exfiltration by malicious insiders, compromised code, and accidental oversharing.
    What should they do?
    1. AA. Configure Private Google Access for on-premises only.
    2. BB. Perform the following tasks: 1. Create a service account. 2. Give the BigQuery JobUser role and Storage Reader role to the service account. 3. Remove all other IAM access from the project.
    3. CC. Configure VPC Service Controls and configure Private Google Access.
    4. DD. Configure Private Google Access.
  4. 4You are working at an institution that processes medical data. You are migrating several workloads onto Google Cloud. Company policies require all workloads to run on physically separated hardware, and workloads from different clients must also be separated. You created a sole-tenant node group and added a node for each client.
    You need to deploy the workloads on these dedicated hosts. What should you do?
    1. AA. Add the node group name as a network tag when creating Compute Engine instances in order to host each workload on the correct node group.
    2. BB. Add the node name as a network tag when creating Compute Engine instances in order to host each workload on the correct node.
    3. CC. Use node affinity labels based on the node group name when creating Compute Engine instances in order to host each workload on the correct node group.
    4. DD. Use node affinity labels based on the node name when creating Compute Engine instances in order to host each workload on the correct node
  5. 5Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on-premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible.
    Which cloud infrastructure should you recommend?
    1. AA. Google Compute Engine unmanaged instance groups and Network Load Balancer
    2. BB. Google Compute Engine managed instance groups with auto-scaling
    3. CC. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
    4. DD. Google App Engine with Google StackDriver for logging
  6. 6A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run properly on Google Cloud Platform. What should you do?
    1. AA. Help the engineer to convert his websocket code to use HTTP streaming
    2. BB. Review the encryption requirements for websocket connections with the security team
    3. CC. Meet with the cloud operations team and the engineer to discuss load balancer options
    4. DD. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.
  7. 7The application reliability team at your company this added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
    Which process should you implement?
    1. AA. ¢ Append metadata to file body ¢ Compress individual files ¢ Name files with serverName " Timestamp ¢ Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket. Otherwise, save files to existing bucket.
    2. BB. ¢ Batch every 10,000 events with a single manifest file for metadata ¢ Compress event files and manifest file into a single archive file ¢ Name files using serverName " EventSequence ¢ Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket.
    3. CC. ¢ Compress individual files ¢ Name files with serverName " EventSequence ¢ Save files to one bucket ¢ Set custom metadata headers for each object after saving
    4. DD. ¢ Append metadata to file body ¢ Compress individual files ¢ Name files with a random prefix pattern ¢ Save files to one bucket
  8. 8A recent audit revealed that a new network was created in your GCP project. In this network, a GCE instance has an SSH port open to the world. You want to discover this network's origin.
    What should you do?
    1. AA. Search for Create VM entry in the Stackdriver alerting console
    2. BB. Navigate to the Activity page in the Home section. Set category to Data Access and search for Create VMentry
    3. CC. In the Logging section of the console, specify GCE Network as the logging section. Search for the Create Insert entry
    4. DD. Connect to the GCE instance using project SSH keys. Identify previous logins in system logs, and match these with the project owners list
  9. 9You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instance in a different project in the US-East region. What steps must you take?
    1. AA. Use the Linux dd and netcat commands to copy and stream the root disk contents to a new virtual machine instance in the US-East region.
    2. BB. Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.
    3. CC. Create an image file from the root disk with Linux dd command, create a new virtual machine instance in the US-East region
    4. DD. Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file the root disk.
  10. 10Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance. How should you configure the storage?
    1. AA. Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
    2. BB. Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.
    3. CC. Use gcsfise to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump.
    4. DD. Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage

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Description
Curso Interno de Empresa Google Cloud Professional Cloud Architect Quiz on Google Cloud Professional Cloud Architect PT 9, created by Emmanuel Jimenez on 23/04/2024.
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