Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others. Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier.How should you configure the network?

Add tags to each tier and set up firewall rules to allow the desired traffic flow

Add each tier to a different subnetwork

Set up software based firewalls on individual VMs

Add tags to each tier and set up routes to allow the desired traffic flow

Add tags to each tier and set up firewall rules to allow the desired traffic flow

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 the batch servers failed the 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.

Use Stackdriver Logging to search for the module log entries

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

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

Use Stackdriver Logging to search for the module log entries

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

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

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

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

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

Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup.Which two steps should you take? Choose 2 answers.

Upload log files into Google Cloud Storage

Load logs into Google Cloud SQL

Import logs into Google Stackdriver

Insert logs into Google Cloud Bigtable

Upload log files into Google Cloud Storage

You created a pipeline that can deploy your source code changes to your infrastructure in instance groups for self-healing. One of the changes negatively affects your key performance indicator. You are not sure how to fix it, and investigation could take up to a week.What should you do?

Revert the source code change, and rerun the deployment pipeline

Log in to a server, and iterate on the fox locally

Revert the source code change, and rerun the deployment pipeline

Log into the servers with the bad code change, and swap in the previous code

Change the instance group template to the previous one, and delete all instances

Your organization wants to control IAM policies for different departments independently, but centrally.Which approach should you take?

A single Organization with Folders for each department

Multiple Organizations with multiple Folders

Multiple Organizations, one for each department

A single Organization with Folders for each department

A single Organization with multiple projects, each with a central owner

You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace. What should you do?

Digitally sign all of your JAR files and redeploy your application

Upload missing JAR files and redeploy your application.

Digitally sign all of your JAR files and redeploy your application

Recompile the CLoakedServlet class using and MD5 hash instead of SHA1

You are designing a mobile chat application. You want to ensure people cannot spoof chat messages, by providing a message were sent by a specific user.What should you do?

Use public key infrastructure (PKI) to encrypt the message client side using the originating user's private key.

Tag messages client side with the originating user identifier and the destination user.

Encrypt the message client side using block-based encryption with a shared key.

Use public key infrastructure (PKI) to encrypt the message client side using the originating user's private key.

Use a trusted certificate authority to enable SSL connectivity between the client application and the server.

As part of implementing their disaster recovery plan, your company is trying to replicate their production MySQL database from their private data center to their GCP project using a Google Cloud VPN connection. They are experiencing latency issues and a small amount of packet loss that is disrupting the replication. What should they do?

Configure a Google Cloud Dedicated Interconnect.

Configure their replication to use UDP.

Configure a Google Cloud Dedicated Interconnect.

Restore their database daily using Google Cloud SQL.

Add additional VPN connections and load balance them.

Send the replicated transaction to Google Cloud Pub/Sub.

Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis. What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?

De-identify the data with the Cloud Data Loss Prevention API

Encrypt all data using elliptic curve cryptography

De-identify the data with the Cloud Data Loss Prevention API

Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers

You want to create a private connection between your instances on Compute Engine and your on-premises data center. You require a connection of at least 20 Gbps. You want to follow Google-recommended practices. How should you set up the connection?

Create a VPC and connect it to your on-premises data center using Dedicated Interconnect.

Create a VPC and connect it to your on-premises data center using a single Cloud VPN.

Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises data center using Dedicated Interconnect.

Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises datacenter using a single Cloud VPN.

You are analyzing and defining business processes to support your startup's trial usage of GCP, and you don't yet know what consumer demand for your product will be. Your manager requires you to minimize GCP service costs and adhere to Google best practices. What should you do?

Utilize free tier and sustained use discounts. Provision a staff position for service cost management.

Utilize free tier and sustained use discounts. Provide training to the team about service cost management.

Utilize free tier and committed use discounts. Provision a staff position for service cost management.

Utilize free tier and committed use discounts. Provide training to the team about service cost management.

You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?

Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.

Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.

Use Spinnaker to deploy builds to production and run tests on production deployments.

Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.

Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing. After testing, tag the repository for production and deploy that to the production environment.

You have an outage in your Compute Engine managed instance group: all instance keep restarting after 5 seconds. You have a health check configured, but autoscaling is disabled. Your colleague, who is a Linux expert, offered to look into the issue. You need to make sure that he can access the VMs. What should you do?

Disable the health check for the instance group. Add his SSH key to the project-wide SSH keys

Grant your colleague the IAM role of project Viewer

Perform a rolling restart on the instance group

Disable the health check for the instance group. Add his SSH key to the project-wide SSH keys

Disable autoscaling for the instance group. Add his SSH key to the project-wide SSH Keys

Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSS-compliant. Which of the following is most accurate?

Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.

App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.

Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.

Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.

All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.

Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.

Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.

Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.

Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.

Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.

Google Cloud Platform resources are managed hierarchically using organization, folders, and projects. When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?

The effective policy is the union of the policy set at the node and policies inherited from its ancestors

The effective policy is determined only by the policy set at the node

The effective policy is the policy set at the node and restricted by the policies of its ancestors

The effective policy is the union of the policy set at the node and policies inherited from its ancestors

The effective policy is the intersection of the policy set at the node and policies inherited from its ancestors

You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed. You want to make sure all your on-premise systems remain reachable during this period. How should you organize your networking in Google Cloud?

Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your primary IP range and use a secondary range with the same IP range as you use on-premises

Use the same IP range on Google Cloud as you use on-premises

Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a secondary range that does not overlap with the range you use on-premises

Use an IP range on Google Cloud that does not overlap with the range you use on-premises

Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your primary IP range and use a secondary range with the same IP range as you use on-premises

You have found an error in your App Engine application caused by missing Cloud Datastore indexes. You have created a YAML file with the required indexes and want to deploy these new indexes to Cloud Datastore. What should you do?

Point gcloud datastore create-indexes to your configuration file

Upload the configuration file the App Engine's default Cloud Storage bucket, and have App Engine detect the new indexes

In the GCP Console, use Datastore Admin to delete the current indexes and upload the new configuration file

Create an HTTP request to the built-in python module to send the index configuration file to your application

You have an application that will run on Compute Engine. You need to design an architecture that takes into account a disaster recovery plan that requires your application to fail over to another region in case of a regional outage. What should you do?

Deploy the application on two Compute Engine instance groups, each in the same project but in a different region. Use the first instance group to serve traffic, and use the HTTP load balancing service to fail over to the standby instancegroup in case of a disaster.

Deploy the application on two Compute Engine instances in the same project but in a different region. Use the first instance to serve traffic, and use the HTTP load balancing service to fail over to the standby instance in case of adisaster.

Deploy the application on a Compute Engine instance. Use the instance to serve traffic, and use the HTTP load balancing service to fail over to an instance on your premises in case of a disaster.

Deploy the application on two Compute Engine instance groups, each in the same project but in a different region. Use the first instance group to serve traffic, and use the HTTP load balancing service to fail over to the standby instancegroup in case of a disaster.

Deploy the application on two Compute Engine instance groups, each in separate project and a different region. Use the first instance group to serve traffic, and use the HTTP load balancing service to fail over to the standby instance incase of a disaster.

You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public Internet. What should you do?

Deploy your application on App Engine flexible environment and use Cloud VPN to limit access to the on-premises database.

Deploy your application on App Engine standard environment and use App Engine firewall rules to limit access to the open on-premises database.

Deploy your application on App Engine standard environment and use Cloud VPN to limit access to the on-premises database.

Deploy your application on App Engine flexible environment and use App Engine firewall rules to limit access to the on-premises database.

Deploy your application on App Engine flexible environment and use Cloud VPN to limit access to the on-premises database.

You are working in a highly secured environment where public Internet access from the Compute Engine VMs is not allowed. You do not yet have a VPN connection to access an on-premises file server. You need to install specific software on a Compute Engine instance. How should you install the software?

Upload the required installation files to Cloud Storage and use firewall rules to block all traffic except the IP address range for Cloud Storage. Download the files to the VM using gsutil.

Upload the required installation files to Cloud Storage. Configure the VM on a subnet with a Private Google Access subnet. Assign only an internal IP address to the VM. Download the installation files to the VM using gsutil.

Upload the required installation files to Cloud Storage and use firewall rules to block all traffic except the IP address range for Cloud Storage. Download the files to the VM using gsutil.

Upload the required installation files to Cloud Source Repositories. Configure the VM on a subnet with a Private Google Access subnet. Assign only an internal IP address to the VM. Download the installation files to the VM using gcloud.

Upload the required installation files to Cloud Source Repositories and use firewall rules to block all traffic except the IP address range for Cloud Source Repositories. Download the files to the VM using gsutil.

Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Google-recommended practices. What should you do?

Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.

Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.

Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.

Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud Storage.

You have an application deployed on Google Kubernetes Engine using a Deployment named echo-deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

Use kubectl set image deployment/echo-deployment <new-image>

Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

Update the deployment yaml file with the new container image. Use kubectl delete deployment/echo-deployment and kubectl create -f <yaml-file>

Update the service yaml file which the new container image. Use kubectl delete service/echo-service and kubectl create -f <yaml-file>

Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the data. Users should be able to query the datasets, but not edit them. How should you configure users' access roles?

Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.

Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery dataViewer on the projects that contain the data.

Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery user on the projects that contain the data.

Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.

Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery jobUser on the projects that contain the data.

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 aGoogle Account. How should you have users upload images?

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

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

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

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.

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

Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

Define a design for the security of data in your web application that meets GDPR requirements.

Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.

Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.

Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.

Define a design for the security of data in your web application that meets GDPR requirements.

You need to set up Microsoft SQL Server on GCP. Management requires that there's no downtime in case of a data center outage in any of the zones within a GCP region. What should you do?

Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in different zones.

Configure a Cloud SQL instance with high availability enabled.

Configure a Cloud Spanner instance with a regional instance configuration.

Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover Clustering. Place nodes in different subnets.

Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in different zones.

The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.

Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.

Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.

You need to evaluate your team readiness for a new GCP project. You must perform the evaluation and create a skills gap plan which incorporates the business goal of cost optimization. Your team has deployed two GCP projects successfully to date. What should you do?

Allocate budget for team training. Set a deadline for the new GCP project.

Allocate budget for team training. Create a roadmap for your team to achieve Google Cloud certification based on job role.

Allocate budget to hire skilled external consultants. Set a deadline for the new GCP project.

Allocate budget to hire skilled external consultants. Create a roadmap for your team to achieve Google Cloud certification based on job role.

You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed byCloud Datastore. What should you do?

Create the Key object for each Entity and run a batch get operation

Create the Key object for each Entity and run multiple get operations, one operation for each entity

Use the identifiers to create a query filter and run a batch query operation

Use the identifiers to create a query filter and run multiple query operations, one operation for each entity

You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?

Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.

Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.

Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.

Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.

Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?

Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.

Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.

Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.

Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.

You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also want to reliably deploy new versions of the application. Which set of steps should you take?

Perform the following: 1) Create a managed instance group with n1-standard-1 type machines. 2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app. 3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.

Perform the following: 1) Create a managed instance group with f1-micro type machines. 2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app. 3) Restart the instances to automatically deploy new production releases.

Perform the following: 1) Create a managed instance group with n1-standard-1 type machines. 2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app. 3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.

Perform the following: 1) Create a Kubernetes Engine cluster with n1-standard-1 type machines. 2) Build a Docker image from the production branch with all of the dependencies, and tag it with the 3) Create a Kubernetes Deployment with the imagePullPolicy set to ''IfNotPresent'' in the staging namespace, and then promote it to the production namespace after testing.

Perform the following: 1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines. 2) Build a Docker image from the master branch will all of the dependencies, and tag it with ''latest''. 3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to ''Always''. Restart the pods to utomatically deploy new production releases.

Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?

Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.

Use the Admin Directory API to authenticate against the Active Directory domain controller.

Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.

Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.

Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the on-premises AD domain controller using Google Cloud Directory Sync.

You are running a cluster on Kubernetes Engine (GKE) to serve a web application. Users are reporting that a specific part of the application is not responding anymore. You notice that all pods of your deployment keep restarting after 2 seconds.The application writes logs to standard output. You want to inspect the logs to find the cause of the issue. Which approach can you take?

Review the Stackdriver logs for the specific GKE container that is serving the unresponsive part of the application.

Review the Stackdriver logs for each Compute Engine instance that is serving as a node in the cluster.

Review the Stackdriver logs for the specific GKE container that is serving the unresponsive part of the application.

Connect to the cluster using gcloud credentials and connect to a container in one of the pods to read the logs.

Review the Serial Port logs for each Compute Engine instance that is serving as a node in the cluster.

You are using a single Cloud SQL instance to serve your application from a specific zone. You want to introduce high availability. What should you do?

Create a failover replica instance in the same region, but in a different zone

Create a read replica instance in a different region

Create a failover replica instance in a different region

Create a read replica instance in the same region, but in a different zone

Create a failover replica instance in the same region, but in a different zone

Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

Create a custom image from the existing disk. Create an instance template from the custom image. Create an autoscaled managed instance group from the instance template.

Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.

Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.

Create a custom image from the existing disk. Create an instance template from the custom image. Create an autoscaled managed instance group from the instance template.

Create an instance template from the existing disk. Create a custom image from the instance template. Create an autoscaled managed instance group from the custom image.

Google Professional Cloud Architect Practice Test 3 - Free Online Exam Prep & Questions

You have created several pre-emptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted.

What should you do?

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Google Professional Cloud Architect Practice Test 3

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