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Google Professional Cloud Developer Practice Test - Questions Answers, Page 16

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Question 151

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You have been tasked with planning the migration of your company's application from on-premises to Google Cloud. Your company's monolithic application is an ecommerce website. The application will b

Question 152

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Your team develops services that run on Google Kubernetes Engine. Your team's code is stored in Cloud Source Repositories. You need to quickly identify bugs in the code before it is deployed to prod

Question 153

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You developed a JavaScript web application that needs to access Google Drive's API and obtain permission from users to store files in their Google Drives. You need to select an authorization approac

Question 154

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You manage an ecommerce application that processes purchases from customers who can subsequently cancel or change those purchases. You discover that order volumes are highly variable and the backend

Question 155

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Your company needs a database solution that stores customer purchase history and meets the following requirements: Customers can query their purchase immediately after submission. Purchases can be

Question 156

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You recently developed a new service on Cloud Run. The new service authenticates using a custom service and then writes transactional information to a Cloud Spanner database. You need to verify that

Question 157

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You are using Cloud Build for your CI/CD pipeline to complete several tasks, including copying certain files to Compute Engine virtual machines. Your pipeline requires a flat file that is generated

Question 158

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Your company's development teams want to use various open source operating systems in their Docker builds. When images are created in published containers in your company's environment, you need to

Question 159

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You are configuring a continuous integration pipeline using Cloud Build to automate the deployment of new container images to Google Kubernetes Engine (GKE). The pipeline builds the application from

Question 160

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You are building a CI/CD pipeline that consists of a version control system, Cloud Build, and Container Registry. Each time a new tag is pushed to the repository, a Cloud Build job is triggered, whi

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 151

You have been tasked with planning the migration of your company's application from on-premises to Google Cloud. Your company's monolithic application is an ecommerce website. The application will be migrated to microservices deployed on Google Cloud in stages. The majority of your company's revenue is generated through online sales, so it is important to minimize risk during the migration. You need to prioritize features and select the first functionality to migrate. What should you do?

Migrate the Product catalog, which has integrations to the frontend and product database.

Migrate Payment processing, which has integrations to the frontend, order database, and third-party payment vendor.

Migrate Order fulfillment, which has integrations to the order database, inventory system, and third-party shipping vendor.

Migrate the Shopping cart, which has integrations to the frontend, cart database, inventory system, and payment processing system.

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Question 152

Your team develops services that run on Google Kubernetes Engine. Your team's code is stored in Cloud Source Repositories. You need to quickly identify bugs in the code before it is deployed to production. You want to invest in automation to improve developer feedback and make the process as efficient as possible. What should you do?

Use Spinnaker to automate building container images from code based on Git tags.

Use Cloud Build to automate building container images from code based on Git tags.

Use Spinnaker to automate deploying container images to the production environment.

Use Cloud Build to automate building container images from code based on forked versions.

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Question 153

You developed a JavaScript web application that needs to access Google Drive's API and obtain permission from users to store files in their Google Drives. You need to select an authorization approach for your application. What should you do?

Create an API key.

Create a SAML token.

Create a service account.

Create an OAuth Client ID.

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Question 154

You manage an ecommerce application that processes purchases from customers who can subsequently cancel or change those purchases. You discover that order volumes are highly variable and the backend order-processing system can only process one request at a time. You want to ensure seamless performance for customers regardless of usage volume. It is crucial that customers' order update requests are performed in the sequence in which they were generated. What should you do?

Send the purchase and change requests over WebSockets to the backend.

Send the purchase and change requests as REST requests to the backend.

Use a Pub/Sub subscriber in pull mode and use a data store to manage ordering.

Use a Pub/Sub subscriber in push mode and use a data store to manage ordering.

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Question 155

Your company needs a database solution that stores customer purchase history and meets the following requirements:

Customers can query their purchase immediately after submission.

Purchases can be sorted on a variety of fields.

Distinct record formats can be stored at the same time.

Which storage option satisfies these requirements?

Firestore in Native mode

Cloud Storage using an object read

Cloud SQL using a SQL SELECT statement

Firestore in Datastore mode using a global query

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Question 156

You recently developed a new service on Cloud Run. The new service authenticates using a custom service and then writes transactional information to a Cloud Spanner database. You need to verify that your application can support up to 5,000 read and 1,000 write transactions persecond while identifying any bottlenecks that occur. Your test infrastructure must be able to autoscale. What should you do?

Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.

Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.

Create a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions perminute for 10minutes. Analyze the results using Cloud Monitoring.

Create a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace.

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Question 157

You are using Cloud Build for your CI/CD pipeline to complete several tasks, including copying certain files to Compute Engine virtual machines. Your pipeline requires a flat file that is generated in one builder in the pipeline to be accessible by subsequent builders in the same pipeline. How should you store the file so that all the builders in the pipeline can access it?

Store and retrieve the file contents using Compute Engine instance metadata.

Output the file contents to a file in /workspace. Read from the same /workspace file in the subsequent build step.

Use gsutil to output the file contents to a Cloud Storage object. Read from the same object in the subsequent build step.

Add a build argument that runs an HTTP POST via curl to a separate web server to persist the value in one builder. Use an HTTP GET via curl from the subsequent build step to read the value.

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Question 158

Your company's development teams want to use various open source operating systems in their Docker builds. When images are created in published containers in your company's environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs). The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?

Enable the Vulnerability scanning setting in the Container Registry.

Create a Cloud Function that is triggered on a code check-in and scan the code for CVEs.

Disallow the use of non-commercially supported base images in your development environment.

Use Cloud Monitoring to review the output of Cloud Build to determine whether a vulnerable version has been used.

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Question 159

You are configuring a continuous integration pipeline using Cloud Build to automate the deployment of new container images to Google Kubernetes Engine (GKE). The pipeline builds the application from its source code, runs unit and integration tests in separate steps, and pushes the container to Container Registry. The application runs on a Python web server.

The Dockerfile is as follows:

FROM python:3.7-alpine -

COPY . /app -

WORKDIR /app -

RUN pip install -r requirements.txt

CMD [ 'gunicorn', '-w 4', 'main:app' ]

You notice that Cloud Build runs are taking longer than expected to complete. You want to decrease the build time. What should you do? (Choose two.)

Select a virtual machine (VM) size with higher CPU for Cloud Build runs.

Deploy a Container Registry on a Compute Engine VM in a VPC, and use it to store the final images.

Cache the Docker image for subsequent builds using the -- cache-from argument in your build config file.

Change the base image in the Dockerfile to ubuntu:latest, and install Python 3.7 using a package manager utility.

Store application source code on Cloud Storage, and configure the pipeline to use gsutil to download the source code.

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Question 160

You are building a CI/CD pipeline that consists of a version control system, Cloud Build, and Container Registry. Each time a new tag is pushed to the repository, a Cloud Build job is triggered, which runs unit tests on the new code builds a new Docker container image, and pushes it into Container Registry. The last step of your pipeline should deploy the new container to your production Google Kubernetes Engine (GKE) cluster. You need to select a tool and deployment strategy that meets the following requirements:

* Zero downtime is incurred

* Testing is fully automated

* Allows for testing before being rolled out to users

* Can quickly rollback if needed

What should you do?

Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if it is successful, deploy the container to production.

Trigger a Spinnaker pipeline configured as a canary test of your new code and, if it is successful, deploy the container to production.

Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a canary test.

Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a shadow test.

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