Free Google Professional-Cloud-Developer Exam Questions

Question 1

Your company is planning to migrate their on-premises Hadoop environment to the cloud. Increasing storage cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make minimal changes to existing data analytics jobs and existing architecture. How should you proceed with the migration?

A : grate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.

B : eate Compute Engine instances with HDD instead of SSD to save costs. Then perform a full migration of your existing environment into the new one in Compute Engine instances.

C : eate a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster. Move your HDFS data into larger HDD disks to save on storage costs.

D : eate a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster. Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.

Answer: D

Question 2

The task at hand is to create a microservice-based application on Google Kubernetes Engine (GKE). The application requires access to various Google Cloud APIs. Two of these services must be able to access these APIs.

What is the recommended approach for implementing authentication of these services in the cluster according to Google's best practices?

A : Store the Google service account keys in a central secret management service.

B : Enable Workload Identity in the cluster via the gcloud command-line tool.

C : Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.

D : Use the service account attached to the GKE node.

E : Access the Google service account keys from a secret management service.

Answer: C,E

Question 3

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

provided.

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

study.

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.

Company Overview

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

around the world.

Executive Statement

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.

Solution Concept

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

requirements are:

• 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 wants to reduce the number of on-call engineers and eliminate manual scaling.

Which two services should they choose? (Choose two.)

A : Google App Engine services.

B : serverless Google Cloud Functions.

C : Knative to build and deploy serverless applications.

D : Google Kubernetes Engine for automated deployments.

E : a large Google Compute Engine cluster for deployments.

Answer: B,C

Question 4

You have been requested by your colleague to examine the code below, which is responsible for adding a credit to an account balance in Cloud Datastore.

What suggestion do you have for your teammate to improve?

A : Utilize a transactional database with strong consistency.

B : Get and store the entity within a transaction.

C : Avoid returning the account entity from the function.

D : Get the entity with an ancestor query.

Answer: D

Question 5

You are developing a new web application using Cloud Run and committing code to Cloud Source Repositories. You want to deploy new code in the most efficient way possible. You have already created a Cloud Build YAML file that builds a container and runs the following command: gcloud run deploy. What should you do next?

A : eate a Pub/Sub topic to be notified when code is pushed to the repository. Create a Pub/Sub trigger that runs the build file when an event is published to the topic

B : eate a build trigger that runs the build file in response to a repository code being pushed to the development branch.

C : eate a build trigger that runs the build file in response to a repository code being pushed to the development branch.

D : eate a Cron job that runs the following command every 24 hours: gcloud builds submit.

Answer: B