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Google Professional Cloud Developer Practice Test - Questions Answers, Page 26

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Question 251

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You have a web application that publishes messages to Pub/Sub. You plan to build new versions of the application locally and need to quickly test Pub/Sub integration tor each new build. How should y

Question 252

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You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to

Question 253

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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

Question 254

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You have an application running on Google Kubernetes Engine (GKE). The application is currently using a logging library and is outputting to standard output You need to export the logs to Cloud Logg

Question 255

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Your application stores customers' content in a Cloud Storage bucket, with each object being encrypted with the customer's encryption key. The key for each object in Cloud Storage is entered into yo

Question 256

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You are reviewing and updating your Cloud Build steps to adhere to Google-recommended practices. Currently, your build steps include: 1. Pull the source code from a source repository. 2. Build a c

Question 257

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You work on an application that relies on Cloud Spanner as its main datastore. New application features have occasionally caused performance regressions. You want to prevent performance issues by ru

Question 258

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You are monitoring a web application that is written in Go and deployed in Google Kubemetes Engine. You notice an increase in CPU and memory utilization. You need to determine which function is cons

Question 259

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You are a developer at a large organization. Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive

Question 260

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You are tasked with using C++ to build and deploy a microservice for an application hosted on Google Cloud. The code needs to be containerized and use several custom software libraries that your tea

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 251

You have a web application that publishes messages to Pub/Sub. You plan to build new versions of the application locally and need to quickly test Pub/Sub integration tor each new build. How should you configure local testing?

Run the gclcud config set api_endpoint_overrides/pubsub https: / 'pubsubemulator.googleapi3.com. coin/ command to change the Pub/Sub endpoint prior to starting the application

In the Google Cloud console, navigate to the API Library and enable the Pub/Sub API When developing locally, configure your application to call pubsub.googleapis com

Install Cloud Code on the integrated development environment (IDE) Navigate to Cloud APIs, and enable Pub/Sub against a valid Google Project ID. When developing locally, configure your application to call pubsub.googleapis com

Install the Pub/Sub emulator using gcloud and start the emulator with a valid Google Project ID. When developing locally, configure your application to use the local emulator by exporting the fuhsub emulator Host variable

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Question 252

You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to be alerted when the number of errors exceeds 15% of the requests within a specific time window. What should you do?

Navigate to the Cloud Run page in the Google Cloud console, and select the service from the services list. Use the Metrics tab to visualize the number of errors for that revision and refresh the page daily.

Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Composer to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold.

Create an alerting policy in Cloud Monitoring that alerts you if the number of errors is above the defined threshold.

Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Scheduler to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold

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Question 253

* 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'?

Terraform and kubeadm

Docker Compose and dockerd

Minikube and Skaffold

kaniko and Tekton

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Question 254

You have an application running on Google Kubernetes Engine (GKE). The application is currently using a logging library and is outputting to standard output You need to export the logs to Cloud Logging, and you need the logs to include metadata about each request. You want to use the simplest method to accomplish this. What should you do?

Change your application s logging library to the Cloud Logging library and configure your application to export logs to Cloud Logging

Update your application to output logs in CSV format, and add the necessary metadata to the CSV.

Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/ log.

Update your application to output logs in JSON format, and add the necessary metadata to the JSON

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Question 255

Your application stores customers' content in a Cloud Storage bucket, with each object being encrypted with the customer's encryption key. The key for each object in Cloud Storage is entered into your application by the customer. You discover that your application is receiving an HTTP 4xx error when reading the object from Cloud Storage What is a possible cause of this error?

You attempted the read operation without the base64-encoded SHA256 hash of the encryption key.

You entered the same encryption algorithm specified by the customer when attempting the read operation.

You attempted the read operation on the object with the base64-encoded SHA256 hash of the customer's key.

You attempted the read operation on the object with the customers base64-encoded key.

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Question 256

You are reviewing and updating your Cloud Build steps to adhere to Google-recommended practices. Currently, your build steps include:

1. Pull the source code from a source repository.

2. Build a container image

3. Upload the built image to Artifact Registry.

You need to add a step to perform a vulnerability scan of the built container image, and you want the results of the scan to be available to your deployment pipeline running in Google Cloud. You want to minimize changes that could disrupt other teams' processes What should you do?

Enable Binary Authorization, and configure it to attest that no vulnerabilities exist in a container image.

Enable the Container Scanning API in Artifact Registry, and scan the built container images for vulnerabilities.

Upload the built container images to your Docker Hub instance, and scan them for vulnerabilities.

Add Artifact Registry to your Aqua Security instance, and scan the built container images for vulnerabilities

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Question 257

You work on an application that relies on Cloud Spanner as its main datastore. New application features have occasionally caused performance regressions. You want to prevent performance issues by running an automated performance test with Cloud Build for each commit made. If multiple commits are made at the same time, the tests might run concurrently. What should you do?

Create a new project with a random name for every build. Load the required data. Delete the project after the test is run.

Create a new Cloud Spanner instance for every build. Load the required data. Delete the Cloud Spanner instance after the test is run.

Create a project with a Cloud Spanner instance and the required data. Adjust the Cloud Build build file to automatically restore the data to its previous state after the test is run.

Start the Cloud Spanner emulator locally. Load the required data. Shut down the emulator after the test is run.

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Question 258

You are monitoring a web application that is written in Go and deployed in Google Kubemetes Engine. You notice an increase in CPU and memory utilization. You need to determine which function is consuming the most CPU and memory resources. What should you do?

Import the Cloud Profiler package into your application, and initialize the Profiler agent. Review the generated flame graph in the Google Cloud console to identify time-intensive functions.

Create a Cloud Logging query that gathers the web application's logs. Write a Python script that calculates the difference between the timestamps from the beginning and the end of the application's longest functions to identity time-intensive functions.

Import OpenTelemetry and Trace export packages into your application, and create the trace provider. Review the latency data for your application on the Trace overview page, and identify which functions cause the most latercy.

Add print commands to the application source code to log when each function is called, and redeploy the application.

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Question 259

You are a developer at a large organization. Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?

Each group of developers creates a feature branch from the main branch for their work, commits their changes to their branch, and merges their code into the main branch before each major release.

Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.

Each group of developers copies the repository, commits their changes to their repository, and merges their code into the main repository before each product release.

Each developer creates a branch for their own work, commits their changes to their branch, and merges their code into the main branch after peer review.

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Question 260

You are tasked with using C++ to build and deploy a microservice for an application hosted on Google Cloud. The code needs to be containerized and use several custom software libraries that your team has built. You do not want to maintain the underlying infrastructure of the application How should you deploy the microservice?

Use Cloud Functions to deploy the microservice.

Use Cloud Build to create the container, and deploy it on Cloud Run.

Use Cloud Shell to containerize your microservice. and deploy it on GKE Standard.

Use Cloud Shell to containerize your microservice. and deploy it on a Container-Optimized OS Compute Engine instance.

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