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Google Professional Cloud Architect Practice Test - Questions Answers, Page 21

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List of questions

Question 201

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Your company is planning to upload several important files to Cloud Storage. After the upload is completed, they want to verify that the uploaded content is identical to what they have on-premises.

Question 202

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You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company, you need to be alerted if request latency is above a certain threshold for

Question 203

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Your 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. You

Question 204

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You 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 us

Question 205

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Your 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 se

Question 206

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You 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,

Question 207

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Your company has a Google Workspace account and Google Cloud Organization. Some developers in the company have created Google Cloud projects outside of the Google Cloud Organization. You want to cr

Question 208

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Your company has an application running on Compute Engine that allows users to play their favorite music. There are a fixed number of instances. Files are stored in Cloud Storage, and data is stream

Question 209

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The operations team in your company wants to save Cloud VPN log events for one year. You need to configure the cloud infrastructure to save the logs. What should you do?

Question 210

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You are working with a data warehousing team that performs data analysis. The team needs to process data from external partners, but the data contains personally identifiable information (PII). You

Question 201

Your company is planning to upload several important files to Cloud Storage. After the upload is completed, they want to verify that the uploaded content is identical to what they have on-premises. You want to minimize the cost and effort of performing this check. What should you do?

1. Use Linux shasum to compute a digest of files you want to upload.

Use gsutil -m to upload all the files to Cloud Storage.

Use gsutil cp to download the uploaded files.

Use Linux shasum to compute a digest of the downloaded files.

Compare the hashes.

1. Use gsutil -m to upload the files to Cloud Storage.

Develop a custom Java application that computes CRC32C hashes.

Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files.

Compare the hashes.

1. Use gsutil -m to upload all the files to Cloud Storage.

Use gsutil cp to download the uploaded files.

Use Linux diff to compare the content of the files.

1. Use gsutil -m to upload the files to Cloud Storage.

Use gsutil hash -c FILE_NAME to generate CRC32C hashes of all on-premises files.

Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files.

Compare the hashes.

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Question 202

You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company, you need to be alerted if request latency is above a certain threshold for a specified amount of time. What should you do?

Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO), and create an alerting policy based on this SLO.

Enable the Cloud Trace API on your project, and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics.

Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting policy in case this metric exceeds the threshold.

Configure Anthos Config Management on your cluster, and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster.

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Question 203

Your 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?

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.

Use a global HTTP(s) load balancer with Cloud CDN enabled.

Create a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer.

Increase the memory and CPU allocated to the application in the cluster.

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Question 204

You 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?

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.

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.

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.

Create a Compute Engine instance with CPU and memory options similar to your application's current on-premises 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.

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Question 205

Your 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?

Configure Private Google Access for on-premises only.

Perform the following tasks:

Create a service account.

Give the BigQuery JobUser role and Storage Reader role to the service account.

Remove all other IAM access from the project.

Configure VPC Service Controls and configure Private Google Access.

Configure Private Google Access.

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Question 206

You 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?

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.

Add the node name as a network tag when creating Compute Engine instances in order to host each workload on the correct node.

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.

Use node affinity labels based on the node name when creating Compute Engine instances in order to host each workload on the correct node.

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Question 207

Your company has a Google Workspace account and Google Cloud Organization. Some developers in the company have created Google Cloud projects outside of the Google Cloud Organization.

You want to create an Organization structure that allows developers to create projects, but prevents them from modifying production projects. You want to manage policies for all projects centrally and be able to set more restrictive policies for production projects.

You want to minimize disruption to users and developers when business needs change in the future. You want to follow

Google-recommended practices. Now should you design the Organization structure?

1. Create a second Google Workspace account and Organization.

Grant all developers the Project Creator IAM role on the new Organization.

Move the developer projects into the new Organization.

Set the policies for all projects on both Organizations.

Additionally, set the production policies on the original Organization.

1. Create a folder under the Organization resource named "Production."

Grant all developers the Project Creator IAM role on the new Organization.

Move the developer projects into the new Organization.

Set the policies for all projects on the Organization.

Additionally, set the production policies on the "Production" folder.

1. Create folders under the Organization resource named "Development" and "Production."

Grant all developers the Project Creator IAM role on the "Development" folder.

Move the developer projects into the "Development" folder.

Set the policies for all projects on the Organization.

Additionally, set the production policies on the "Production" folder.

1. Designate the Organization for production projects only.

Ensure that developers do not have the Project Creator IAM role on the Organization.

Create development projects outside of the Organization using the developer Google Workspace accounts.

Set the policies for all projects on the Organization.

Additionally, set the production policies on the individual production projects.

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Question 208

Your company has an application running on Compute Engine that allows users to play their favorite music. There are a fixed number of instances. Files are stored in Cloud Storage, and data is streamed directly to users. Users are reporting that they sometimes need to attempt to play popular songs multiple times before they are successful. You need to improve the performance of the application. What should you do?

1. Mount the Cloud Storage bucket using gcsfuse on all backend Compute Engine instances.

Serve music files directly from the backend Compute Engine instance.

1. Create a Cloud Filestore NFS volume and attach it to the backend Compute Engine instances.

Download popular songs in Cloud Filestore.

Serve music files directly from the backend Compute Engine instance.

1. Copy popular songs into CloudSQL as a blob.

Update application code to retrieve data from CloudSQL when Cloud Storage is overloaded.

1. Create a managed instance group with Compute Engine instances.

Create a global load balancer and configure it with two backends:Managed instance groupCloud Storage bucket

Enable Cloud CDN on the bucket backend.

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Question 209

The operations team in your company wants to save Cloud VPN log events for one year. You need to configure the cloud infrastructure to save the logs. What should you do?

Set up a filter in Cloud Logging and a Cloud Storage bucket as an export target for the logs you want to save.

Enable the Compute Engine API, and then enable logging on the firewall rules that match the traffic you want to save.

Set up a Cloud Logging Dashboard titled Cloud VPN Logs, and then add a chart that queries for the VPN metrics over a one-year time period.

Set up a filter in Cloud Logging and a topic in Pub/Sub to publish the logs.

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Question 210

You are working with a data warehousing team that performs data analysis. The team needs to process data from external partners, but the data contains personally identifiable information (PII). You need to process and store the data without storing any of the PIIE data. What should you do?

Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline, use the Cloud Data Loss Prevention (Cloud DLP) API to remove any PII data. Store the result in BigQuery.

Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline, store all non-PII data in BigQuery and store all PII data in a Cloud Storage bucket that has a retention policy set.

Ask the external partners to upload all data on Cloud Storage. Configure Bucket Lock for the bucket. Create a Dataflow pipeline to read the data from the bucket. As part of the pipeline, use the Cloud Data Loss Prevention (Cloud DLP)API to remove any PII data. Store the result in BigQuery.

Ask the external partners to import all data in your BigQuery dataset. Create a dataflow pipeline to copy the data into a new table. As part of the Dataflow bucket, skip all data in columns that have PII data

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Total 285 questions