For this question, refer to the HipLocal case study.How should HipLocal redesign their architecture to ensure that the application scales to support a large increase in users?

Use a Cloud Storage bucket to serve the application as a static website, and use another Cloud Storage bucket to store user state information.

Use Google Kubernetes Engine (GKE) to run the application as a microservice. Run the MySQL database on a dedicated GKE node.

Use multiple Compute Engine instances to run MySQL to store state information. Use a Google Cloud-managed load balancer to distribute the load between instances. Use managed instance groups for scaling.

Use Memorystore to store session information and CloudSQL to store state information. Use a Google Cloud-managed load balancer to distribute the load between instances. Use managed instance groups for scaling.

Use a Cloud Storage bucket to serve the application as a static website, and use another Cloud Storage bucket to store user state information.

For this question, refer to the HipLocal case study.How should HipLocal increase their API development speed while continuing to provide the QA team with a stable testing environment that meets feature requirements?

Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.

Include unit tests in their code, and prevent deployments to QA until all tests have a passing status.

Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.

Create health checks for the QA environment, and redeploy the APIs at a later time if the environment is unhealthy.

Redeploy the APIs to App Engine using Traffic Splitting. Do not move QA traffic to the new versions if errors are found.

For this question, refer to the HipLocal case study.HipLocal's application uses Cloud Client Libraries to interact with Google Cloud. HipLocal needs to configure authentication and authorization in the Cloud Client Libraries to implement least privileged access for the application. What should they do?

Create an API key. Use the API key to interact with Google Cloud.

Use the default compute service account to interact with Google Cloud.

Create a service account for the application. Export and deploy the private key for the application. Use the service account to interact with Google Cloud.

Create a service account for the application and for each Google Cloud API used by the application. Export and deploy the private keys used by the application. Use the service account with one Google Cloud API to interact with Google Cloud.

For this question refer to the HipLocal case study.HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?

Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.

Migrate the database to Bigtable and use it to serve all global user traffic.

Migrate the database to Cloud Spanner and use it to serve all global user traffic.

Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.

Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.

For this question, refer to the HipLocal case study.A recent security audit discovers that HipLocal's database credentials for their Compute Engine-hosted MySQL databases are stored in plain text on persistent disks. HipLocal needs to reduce the risk of these credentials being stolen. What should they do?

Grant the roles/secretmanager.secretAccessor role to the Compute Engine service account. Store and access the database credentials with the Secret Manager API.

Create a service account and download its key. Use the key to authenticate to Cloud Key Management Service (KMS) to obtain the database credentials.

Create a service account and download its key. Use the key to authenticate to Cloud Key Management Service (KMS) to obtain a key used to decrypt the database credentials.

Create a service account and grant it the roles/iam.serviceAccountUser role. Impersonate as this account and authenticate using the Cloud SQL Proxy.

Grant the roles/secretmanager.secretAccessor role to the Compute Engine service account. Store and access the database credentials with the Secret Manager API.

For this question, refer to the HipLocal case study.HipLocal is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?

Migrate data to Bigtable. Instruct the development teams to use the Cloud SDK to emulate a local Bigtable development environment.

Create new Cloud SQL instances in Europe and North America for testing and deployment. Provide developers with local MySQL instances to conduct testing on the application changes.

Migrate data to Bigtable. Instruct the development teams to use the Cloud SDK to emulate a local Bigtable development environment.

Move from Cloud SQL to MySQL hosted on Compute Engine. Replicate hosts across regions in the Americas and Europe. Provide developers with local MySQL instances to conduct testing on the application changes.

Migrate data to Firestore in Native mode and set up instan

You want to upload files from an on-premises virtual machine to Google Cloud Storage as part of a data migration. These files will be consumed by Cloud DataProc Hadoop cluster in a GCP environment.Which command should you use?

gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

gcloud cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

hadoop fs cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

gcloud dataproc cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

Your team is developing an application in Google Cloud that executes with user identities maintained by Cloud Identity. Each of your application's users will have an associated Pub/Sub topic to which messages are published, and a Pub/Sub subscription where the same user will retrieve published messages. You need to ensure that only authorized users can publish and subscribe to their own specific Pub/Sub topic and subscription. What should you do?

Grant the user identity a custom role that contains the pubsub.topics.create and pubsub.subscriptions.create permissions.

Bind the user identity to the pubsub.publisher and pubsub.subscriber roles at the resource level.

Grant the user identity the pubsub.publisher and pubsub.subscriber roles at the project level.

Grant the user identity a custom role that contains the pubsub.topics.create and pubsub.subscriptions.create permissions.

Configure the application to run as a service account that has the pubsub.publisher and pubsub.subscriber roles.

You are evaluating developer tools to help drive Google Kubernetes Engine adoption and integration with your development environment, which includes VS Code and IntelliJ. What should you do?

Use Cloud Code to develop applications.

Use the Cloud Shell integrated Code Editor to edit code and configuration files.

Use a Cloud Notebook instance to ingest and process data and deploy models.

Use Cloud Shell to manage your infrastructure and applications from the command line.

You are developing an ecommerce web application that uses App Engine standard environment and Memorystore for Redis. When a user logs into the app, the application caches the user's information (e.g., session, name, address, preferences), which is stored for quick retrieval during checkout.While testing your application in a browser, you get a 502 Bad Gateway error. You have determined that the application is not connecting to Memorystore. What is the reason for this error?

Your Memorystore for Redis instance was deployed without a public IP address.

You configured your Serverless VPC Access connector in a different region than your App Engine instance.

The firewall rule allowing a connection between App Engine and Memorystore was removed during an infrastructure update by the DevOps team.

You configured your application to use a Serverless VPC Access connector on a different subnet in a different availability zone than your App Engine instance.

You have two tables in an ANSI-SQL compliant database with identical columns that you need to quickly combine into a single table, removing duplicate rows from the result set.What should you do?

Use the UNION operator in SQL to combine the tables.

Use the JOIN operator in SQL to combine the tables.

Use nested WITH statements to combine the tables.

Use the UNION operator in SQL to combine the tables.

Use the UNION ALL operator in SQL to combine the tables.

Your company wants to expand their users outside the United States for their popular application. The company wants to ensure 99.999% availability of the database for their application and also wants to minimize the read latency for their users across the globe.Which two actions should they take? (Choose two.)

Create a multi-regional Cloud Spanner instance with 'nam3' configuration.

Create a Cloud Dataflow pipeline to replicate data across different databases.

Create a multi-regional Cloud Spanner instance with 'nam-asia-eur1' configuration.

Create a multi-regional Cloud Spanner instance with 'nam3' configuration.

Create a cluster with at least 3 Spanner nodes.

Create a cluster with at least 1 Spanner node.

Create a minimum of two Cloud Spanner instances in separate regions with at least one node.

Create a Cloud Dataflow pipeline to replicate data across different databases.

You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.What should you do?

Use signed URLs to upload files.

Change the API to be a multipart file upload API.

Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table. Which improvement should you suggest your teammate make?

Perform the inserts in parallel by creating multiple threads.

Include multiple rows with each request.

Perform the inserts in parallel by creating multiple threads.

Write each row to a Cloud Storage object, then load into BigQuery.

Write each row to a Cloud Storage object in parallel, then load into BigQuery.

You are developing a JPEG image-resizing API hosted on Google Kubernetes Engine (GKE). Callers of the service will exist within the same GKE cluster. You want clients to be able to get the IP address of the service.What should you do?

Define a GKE Endpoint. Clients should get the endpoint name from the appropriate environment variable in the client container.

Define a GKE Service. Clients should use the name of the A record in Cloud DNS to find the service's cluster IP address.

Define a GKE Service. Clients should use the service name in the URL to connect to the service.

Define a GKE Endpoint. Clients should get the endpoint name from the appropriate environment variable in the client container.

Define a GKE Endpoint. Clients should get the endpoint name from Cloud DNS.

You are using Cloud Build to build and test application source code stored in Cloud Source Repositories. The build process requires a build tool not available in the Cloud Build environment.What should you do?

Build a custom cloud builder image and reference the image in your build steps.

Download the binary from the internet during the build process.

Build a custom cloud builder image and reference the image in your build steps.

Include the binary in your Cloud Source Repositories repository and reference it in your build scripts.

Ask to have the binary added to the Cloud Build environment by filing a feature request against the Cloud Build public Issue Tracker.

You are deploying your application to a Compute Engine virtual machine instance. Your application is configured to write its log files to disk. You want to view the logs in Stackdriver Logging without changing the application code.What should you do?

Install the Stackdriver Logging Agent and configure it to send the application logs.

Use a Stackdriver Logging Library to log directly from the application to Stackdriver Logging.

Provide the log file folder path in the metadata of the instance to configure it to send the application logs.

Change the application to log to /var/log so that its logs are automatically sent to Stackdriver Logging.

Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 'Too Many Requests' status code.How should you handle this error?

Retry the request with a truncated exponential backoff strategy.

Add a cache-control header to the objects.

Request a quota increase from the GCP Console.

Retry the request with a truncated exponential backoff strategy.

Change the storage class of the Cloud Storage bucket to Multi-regional.

Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.How should you perform reads from Cloud Spanner for this application?

Perform stale reads using read-write transactions.

Perform Read-Only transactions.

Perform stale reads using single-read methods.

Perform strong reads using single-read methods.

Perform stale reads using read-write transactions.

Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy.Which change should you make to the GKE Deployment object shown below?

Set the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.

Set the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.

Set the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.

Set the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.

Set the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.

You plan to make a simple HTML application available on the internet. This site keeps information about FAQs for your application. The application is static and contains images, HTML, CSS, and Javascript. You want to make this application available on the internet with as few steps as possible.What should you do?

Upload your application to Cloud Storage.

Upload your application to an App Engine environment.

Create a Compute Engine instance with Apache web server installed. Configure Apache web server to host the application.

Containerize your application first. Deploy this container to Google Kubernetes Engine (GKE) and assign an external IP address to the GKE pod hosting the application.

Your company's development teams want to use Cloud Build in their projects to build and push Docker images to Container Registry. The operations team requires all Docker images to be published to a centralized, securely managed Docker registry that the operations team manages.What should you do?

Use Container Registry to create a registry in each development team's project. Configure the Cloud Build build to push the Docker image to the project's registry. Grant the operations team access to each development team's registry.

Create a separate project for the operations team that has Container Registry configured. Assign appropriate permissions to the Cloud Build service account in each developer team's project to allow access to the operation team's registry.

Create a separate project for the operations team that has Container Registry configured. Create a Service Account for each development team and assign the appropriate permissions to allow it access to the operations team's registry. Store the service account key file in the source code repository and use it to authenticate against the operations team's registry.

Create a separate project for the operations team that has the open source Docker Registry deployed on a Compute Engine virtual machine instance. Create a username and password for each development team. Store the username and password in the source code repository and use it to authenticate against the operations team's Docker registry.

You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.What should you do?

Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.

Add RUN commands in the Dockerfile to execute unit and integration tests.

Create a Cloud Build build config file with a single build step to compile unit and integration tests.

Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration tests.

Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.

Your code is running on Cloud Functions in project

Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.

It is supposed to write an object in a Cloud Storage bucket owned by project B. However, the write call is failing with the error '403 Forbidden'. What should you do to correct the problem?

Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.

Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot. iam.gserviceaccount.com service account.

Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.

Enable the Cloud Storage API in project B.

Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters. Which command should you use?

gcloud compute ssh [PARAM] ---command= ''sudo journalctl''

kubectl exec --it [PARAM] journalctl

gcloud compute ssh [PARAM] ---command= ''sudo journalctl''

You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositoties repository. Your application is built on every commit to the master branch. You want to release specific commits made to the master branch in an automated method. What should you do?

Create a build trigger on a Git branch name pattern. Use a Git branch naming convention for new releases.

Manually trigger the build for new releases.

Create a build trigger on a Git tag pattern. Use a Git tag convention for new releases.

Create a build trigger on a Git branch name pattern. Use a Git branch naming convention for new releases.

Commit your source code to a second Cloud Source Repositories repository with a second Cloud Build trigger. Use this repository for new releases only.

You are designing a schema for a table that will be moved from MySQL to Cloud Bigtable. The MySQL table is as follows: How should you design a row key for Cloud Bigtable for this table?

Set Event_timestamp_Account_id as a key.

Set Account_id_Event_timestamp as a key.

Set Event_timestamp_Account_id as a key.

You want to view the memory usage of your application deployed on Compute Engine. What should you do?

Use the Stackdriver Metrics Explorer.

Install the Stackdriver Client Library.

Install the Stackdriver Monitoring Agent.

Use the Stackdriver Metrics Explorer.

Use the Google Cloud Platform Console.

You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute. What should you do?

Use Stackdriver Monitoring to plot query execution times.

Use Stackdriver Monitoring to plot slot usage.

Use Stackdriver Trace to plot API execution time.

Use Stackdriver Trace to plot query execution time.

Use Stackdriver Monitoring to plot query execution times.

You are designing a schema for a Cloud Spanner customer database. You want to store a phone number array field in a customer table. You also want to allow users to search customers by phone number. How should you design this schema?

Create a table named Customers. Add an Array field in a table that will hold phone numbers for the customer. Create a secondary index on the Array field.

Create a table named Customers. Add an Array field in a table that will hold phone numbers for the customer.

Create a table named Customers. Create a table named Phones. Add a CustomerId field in the Phones table to find the CustomerId from a phone number.

Create a table named Customers. Add an Array field in a table that will hold phone numbers for the customer. Create a secondary index on the Array field.

Create a table named Customers as a parent table. Create a table named Phones, and interleave this table into the Customer table. Create an index on the phone number field in the Phones table.

You are deploying a single website on App Engine that needs to be accessible via the URL http://www.altostrat.com/. What should you do?

Verify domain ownership with Webmaster Central. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

Verify domain ownership with Webmaster Central. Define an A record pointing to the single global App Engine IP address.

Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Define an A record pointing to the single global App Engine IP address.

Google Professional Cloud Developer Practice Test 2 - Free Online Exam Prep & Questions

In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?

Cloud Spanner

Cloud Datastore

Cloud Memorystore as a cache

Separate Cloud SQL clusters for each region

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