Exam 13: Professional Cloud Developer

Case study 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. In order to meet their business requirements, how should HipLocal store their application state?

You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable. Which technique should you choose?

You migrated your applications to Google Cloud Platform and kept your existing monitoring platform. You now find that your notification system is too slow for time critical problems. What should you do?

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?

You configured your Compute Engine instance group to scale automatically according to overall CPU usage. However, your application's response latency increases sharply before the cluster has finished adding up instances. You want to provide a more consistent latency experience for your end users by changing the configuration of the instance group autoscaler. Which two configuration changes should you make? (Choose two.)

You are writing a single-page web application with a user-interface that communicates with a third-party API for content using XMLHttpRequest. The data displayed on the UI by the API results is less critical than other data displayed on the same web page, so it is acceptable for some requests to not have the API data displayed in the UI. However, calls made to the API should not delay rendering of other parts of the user interface. You want your application to perform well when the API response is an error or a timeout. What should you do?

Case Study 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. In order to meet their business requirements, how should HipLocal store their application state?

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?

You are creating a Google Kubernetes Engine (GKE) cluster and run this command: The command fails with the error: You want to resolve the issue. What should you do?

You have an application deployed in production. When a new version is deployed, you want to ensure that all production traffic is routed to the new version of your application. You also want to keep the previous version deployed so that you can revert to it if there is an issue with the new version. Which deployment strategy should you use?

Your company has a BigQuery dataset named "Master" that keeps information about employee travel and expenses. This information is organized by employee department. That means employees should only be able to view information for their department. You want to apply a security framework to enforce this requirement with the minimum number of steps. What should you do?

Your existing application keeps user state information in a single MySQL database. This state information is very user-specific and depends heavily on how long a user has been using an application. The MySQL database is causing challenges to maintain and enhance the schema for various users. Which storage option should you choose?

You are using Cloud Build build to promote a Docker image to Development, Test, and Production environments. You need to ensure that the same Docker image is deployed to each of these environments. How should you identify the Docker image in your build?

Your teammate has asked you to review the code below, which is adding a credit to an account balance in Cloud Datastore. Which improvement should you suggest your teammate make?

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?

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?

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?

Your code is running on Cloud Functions in project A. 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?

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?

Your API backend is running on multiple cloud providers. You want to generate reports for the network latency of your API. Which two steps should you take? (Choose two.)