Question 1

Your application will be deployed on a Compute Engine instance that will communicate with Cloud SQL. In order to allow communication between the application and the database using the service account associated with the instance, you will use Cloud SQL Proxy. It is recommended by Google to provide minimum access for the role assigned to the service account, which you intend to follow as a best practice.

What actions do you recommend taking?

Options :

A : Assign the Project Editor role.

B : Assign the Cloud SQL Client role.

C : Assign the Project Owner role.

D : Assign the Cloud SQL Editor role.

Answer: B

Question 2

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?

Options :

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

B : Create 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 : Create 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 : Create 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 3

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?

Options :

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

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

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

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

Answer: D

Question 4

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 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?

Options :

A : Create manual subnets.

B : Create an auto mode subnet.

C : Create multiple peered VPCs.

D : Provision a single instance for NAT.

Answer: A

Question 5

Azgomi is a popular community application that facilitates communication between people in close proximity. It is used for event planning, organizing sporting events, and connecting businesses with their local communities. Although it launched recently in a few neighborhoods in Dallas, it is rapidly expanding into a global phenomenon. The company's venture capital investors are looking for rapid growth and expansion into new regions, offering the same experience to users, regardless of their location.

Azgomi wants to expand its service to new regions, with updated functionality to better serve its global customers. They plan to hire and train a new team to support these regions in their respective time zones. It is essential that the application scales smoothly and provides clear uptime data, and that they analyze and respond to any issues that occur. The existing technical environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The application runs on Compute Engine virtual machine instances hosted in GCP. State is stored in a single instance MySQL database in GCP. Release cycles include development freezes to allow for QA testing. The application has no logging. Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings. There are basic indicators of uptime, and alerts are frequently fired when the APIs are unresponsive.

Azgomi's investors want to expand its footprint and support the increase in demand they are seeing. They require the following:

• Expand availability of the application to new regions.

• Support 10x as many concurrent users.

• 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 Google-recommended practices for cloud computing.

○ Develop standardized workflows and processes around application lifecycle management.

○ Define service level indicators (SLIs) and service level objectives (SLOs).

The technical requirements for Azgomi include:

• Providing secure communications between the on-premises data center and cloud-hosted applications and infrastructure.

• The application must provide usage metrics and monitoring.

• APIs require authentication and authorization.

• Implement faster and more accurate validation of new features.

• Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts.

• Must scale to meet user demand.

What steps can Azgomi take to revamp their architecture in order to accommodate a significant surge in user traffic?

Options :

A : 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.

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

C : Use a Cloud Storage bucket to host the application as a static website, and use another Cloud Storage bucket to store user data.

D : 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.

Answer: C

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