Professional-Cloud-Developer Exam: Absolutely Free Online Practice

Free Google Professional-Cloud-Developer Exam Questions

You work at a rapidly growing financial technology startup. You manage the payment processing application

written in Go and hosted on Cloud Run in the Singapore region (asia-southeast1). The payment processing

application processes data stored in a Cloud Storage bucket that is also located in the Singapore region.

The startup plans to expand further into the Asia Pacific region. You plan to deploy the Payment Gateway in

Jakarta, Hong Kong, and Taiwan over the next six months. Each location has data residency requirements that

require customer data to reside in the country where the transaction was made. You want to minimize the cost

of these deployments. What should you do?

This is a case study. Case studies are not timed separately. You can use as much exam time as you would like

to complete each case. However, there may be additional case studies and sections on this exam. You must

manage your time to ensure that you are able to complete all questions included on this exam in the time

To answer the questions included in a case study, you will need to reference information that is provided in the

case study. Case studies might contain exhibits and other resources that provide more information about the

scenario that is described in the case study. Each question is independent of the other questions in this case

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to

make changes before you move to the next section of the exam. After you begin a new section, you cannot

return to this section.

To start the case study

To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore

the content of the case study before you answer the questions. Clicking these buttons displays information such

as business requirements, existing environment, and problem statements. If the case study has an All

Information tab, note that the information displayed is identical to the information displayed on the subsequent

tabs. When you are ready to answer a question, click the Question button to return to the question.

HipLocal is a community application designed to facilitate communication between people in close proximity. It

is used for event planning and organizing sporting events, and for businesses to connect with their local

communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global

phenomenon. Its unique style of hyper-local community communication and business outreach is in demand

We are the number one local community app; it's time to take our local community services global. Our venture

capital investors want to see rapid growth and the same great experience for new local and virtual communities

that come online, whether their members are 10 or 10000 miles away from each other.

HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their

global customers. They want to hire and train a new team to support these regions in their time zones. They will

need to ensure that the application scales smoothly and provides clear uptime data.

Existing Technical Environment

HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.

The HipLocal team understands their application well, but has limited experience in global scale applications.

Their existing technical environment is as follows:

• Existing APIs run on Compute Engine virtual machine instances hosted in GCP.

• State is stored in a single instance MySQL database in GCP.

• Data is exported to an on-premises Teradata/Vertica data warehouse.

• Data analytics is performed in an on-premises Hadoop environment.

• The application has no logging.

• There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.

Business Requirements

HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their

• Expand availability of the application to new regions.

• Increase the number of concurrent users that can be supported.

• Ensure a consistent experience for users when they travel to different regions.

• Obtain user activity metrics to better understand how to monetize their product.

• Ensure compliance with regulations in the new regions (for example, GDPR).

• Reduce infrastructure management time and cost.

• Adopt the Google-recommended practices for cloud computing.

Technical Requirements

• The application and backend must provide usage metrics and monitoring.

• APIs require strong authentication and authorization.

• Logging must be increased, and data should be stored in a cloud analytics platform.

• Move to serverless architecture to facilitate elastic scaling.

• Provide authorized access to internal apps in a secure manner.

HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data

stored on persistent disks.

Which IP strategy should they use?

You are developing a new application that has the following design requirements:

Creation and changes to the application infrastructure are versioned and auditable.

The application and deployment infrastructure uses Google-managed services as much as possible.

The application runs on a serverless compute platform.

How should you design the application’s architecture?

1. Store the application and infrastructure source code in a Git repository.

2. Use Cloud Build to deploy the application infrastructure with Terraform.

3. Deploy the application to a Cloud Function as a pipeline step.

1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline in

2. Configure a pipeline step to pull the application source code from a Git repository.

3. Deploy the application source code to App Engine as a pipeline step.

1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy the

application infrastructure using Deployment Manager templates.

2. Configure a pipeline step to create a container with the latest application source code.

3. Deploy the container to a Compute Engine instance as a pipeline step.

1. Deploy the application infrastructure using gcloud commands.

2. Use Cloud Build to define a continuous integration pipeline for changes to the application source code.

3. Configure a pipeline step to pull the application source code from a Git repository, and create a

containerized application.

4. Deploy the new container on Cloud Run as a pipeline step.

Free Google Professional-Cloud-Developer Exam Questions

Absolute Free Professional-Cloud-Developer Exam Practice for Comprehensive Preparation