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Google Professional Cloud Developer Practice Test - Questions Answers, Page 11

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List of questions

Question 101

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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.)

Question 102

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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

Question 103

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You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should foll

Question 104

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You are developing an application that will be launched on Compute Engine instances into multiple distinct projects, each corresponding to the environments in your software development process (deve

Question 105

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You are developing an ecommerce application that stores customer, order, and inventory data as relational tables inside Cloud Spanner. During a recent load test, you discover that Spanner performanc

Question 106

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You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying

Question 107

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You are designing an application that will subscribe to and receive messages from a single Pub/Sub topic and insert corresponding rows into a database. Your application runs on Linux and leverages p

Question 108

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You work for a web development team at a small startup. Your team is developing a Node.js application using Google Cloud services, including Cloud Storage and Cloud Build. The team uses a Git reposi

Question 109

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Your team develops services that run on Google Kubernetes Engine. You need to standardize their log data using Google-recommended practices and make the data more useful in the fewest number of step

Question 110

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You are designing a deployment technique for your new applications on Google Cloud. As part of your deployment planning, you want to use live traffic to gather performance metrics for both new and e

Related questions

HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling. Which two services should they choose? (Choose two.)

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?

You manage a microservice-based ecommerce platform on Google Cloud that sends confirmation emails to a third-party email service provider using a Cloud Function. Your company just launched a marketing campaign, and some customers are reporting that they have not received order confirmation emails. You discover that the services triggering the Cloud Function are receiving HTTP 500 errors. You need to change the way emails are handled to minimize email loss. What should you do?

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements: * Test frequent local changes automatically. * Local deployment emulates production deployment. Which tools should you use to test building and running a container on your laptop using minimal resources'?

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 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?

You work for an organization that manages an online ecommerce website. Your company plans to expand across the world; however, the estore currently serves one specific region. You need to select a SQL database and configure a schema that will scale as your organization grows. You want to create a table that stores all customer transactions and ensure that the customer (CustomerId) and the transaction (TransactionId) are unique. What should you do?

You are using Cloud Run to host a global ecommerce web application. Your company's design team is creating a new color scheme for the web app. You have been tasked with determining whether the new color scheme will increase sales You want to conduct testing on live production traffic How should you design the study?

You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second. Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API. What should you do?

You are developing an online gaming platform as a microservices application on Google Kubernetes Engine (GKE). Users on social media are complaining about long loading times for certain URL requests to the application. You need to investigate performance bottlenecks in the application and identify which HTTP requests have a significantly high latency span in user requests. What should you do9

Question 101

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.)

Use Zipkin collector to gather data.

Use Fluentd agent to gather data.

Use Stackdriver Trace to generate reports.

Use Stackdriver Debugger to generate report.

Use Stackdriver Profiler to generate report.

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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?

Blue/green deployment

Canary deployment

Rolling deployment

Recreate deployment

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Question 103

You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should follow Google-recommended best practices for availability. What should you do?

Package each component in a separate container. Implement readiness and liveness probes.

Package the application in a single container. Use a process management tool to manage each component.

Package each component in a separate container. Use a script to orchestrate the launch of the components.

Package the application in a single container. Use a bash script as an entrypoint to the container, and then spawn each component as a background job.

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Question 104

You are developing an application that will be launched on Compute Engine instances into multiple distinct projects, each corresponding to the environments in your software development process (development, QA, staging, and production). The instances in each project have the same application code but a different configuration. During deployment, each instance should receive the application's configuration based on the environment it serves. You want to minimize the number of steps to configure this flow.

What should you do?

When creating your instances, configure a startup script using the gcloud command to determine the project name that indicates the correct environment.

In each project, configure a metadata key ''environment'' whose value is the environment it serves. Use your deployment tool to query the instance metadata and configure the application based on the ''environment'' value.

Deploy your chosen deployment tool on an instance in each project. Use a deployment job to retrieve the appropriate configuration file from your version control system, and apply the configuration when deploying the application on each instance.

During each instance launch, configure an instance custom-metadata key named ''environment'' whose value is the environment the instance serves. Use your deployment tool to query the instance metadata, and configure the application based on the ''environment'' value.

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Question 105

You are developing an ecommerce application that stores customer, order, and inventory data as relational tables inside Cloud Spanner. During a recent load test, you discover that Spanner performance is not scaling linearly as expected. Which of the following is the cause?

The use of 64-bit numeric types for 32-bit numbers.

The use of the STRING data type for arbitrary-precision values.

The use of Version 1 UUIDs as primary keys that increase monotonically.

The use of LIKE instead of STARTS_WITH keyword for parameterized SQL queries.

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Question 106

You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud. What should you do?

Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.

Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.

Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.

Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.

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Question 107

You are designing an application that will subscribe to and receive messages from a single Pub/Sub topic and insert corresponding rows into a database. Your application runs on Linux and leverages preemptible virtual machines to reduce costs. You need to create a shutdown script that will initiate a graceful shutdown. What should you do?

Write a shutdown script that uses inter-process signals to notify the application process to disconnect from the database.

Write a shutdown script that broadcasts a message to all signed-in users that the Compute Engine instance is going down and instructs them to save current work and sign out.

Write a shutdown script that writes a file in a location that is being polled by the application once every five minutes. After the file is read, the application disconnects from the database.

Write a shutdown script that publishes a message to the Pub/Sub topic announcing that a shutdown is in progress. After the application reads the message, it disconnects from the database.

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Question 108

You work for a web development team at a small startup. Your team is developing a Node.js application using Google Cloud services, including Cloud Storage and Cloud Build. The team uses a Git repository for version control. Your manager calls you over the weekend and instructs you to make an emergency update to one of the company's websites, and you're the only developer available. You need to access Google Cloud to make the update, but you don't have your work laptop. You are not allowed to store source code locally on a non-corporate computer. How should you set up your developer environment?

Use a text editor and the Git command line to send your source code updates as pull requests from a public computer.

Use a text editor and the Git command line to send your source code updates as pull requests from a virtual machine running on a public computer.

Use Cloud Shell and the built-in code editor for development. Send your source code updates as pull requests.

Use a Cloud Storage bucket to store the source code that you need to edit. Mount the bucket to a public computer as a drive, and use a code editor to update the code. Turn on versioning for the bucket, and point it to the team's Git repository.

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Question 109

Your team develops services that run on Google Kubernetes Engine. You need to standardize their log data using Google-recommended practices and make the data more useful in the fewest number of steps. What should you do? (Choose two.)

Create aggregated exports on application logs to BigQuery to facilitate log analytics.

Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.

Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.

Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.

Mandate the use of the Pub/Sub API to write structured data to Pub/Sub and create a Dataflow streaming pipeline to normalize logs and write them to BigQuery for analytics.

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Question 110

You are designing a deployment technique for your new applications on Google Cloud. As part of your deployment planning, you want to use live traffic to gather performance metrics for both new and existing applications. You need to test against the full production load prior to launch. What should you do?

Use canary deployment

Use blue/green deployment

Use rolling updates deployment

Use A/B testing with traffic mirroring during deployment

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