[2024] Google Professional-Cloud-Developer Practice Verified Answers - Pass Your Exams For Sure! [Q39-Q57]

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Professional-Cloud-Developer Practice Google Verified Answers – Pass Your Exams For Sure! [2024]

Valid Way To Pass Cloud Developer’s Professional-Cloud-Developer Exam

Google Professional-Cloud-Developer certification is an essential credential for developers who want to enhance their skills and knowledge in cloud computing. Google Certified Professional – Cloud Developer certification is recognized globally and is highly sought-after in the cloud computing industry. Professional-Cloud-Developer exam is designed to test the candidate’s proficiency in developing and implementing cloud-based solutions on the Google Cloud Platform. Passing the exam is a major asset for the candidate’s career growth and opens up new opportunities in cloud computing.

NO.39 Your team is developing unit tests for Cloud Function code. The code is stored in a Cloud Source Repositories repository. You are responsible for implementing the tests. Only a specific service account has the necessary permissions to deploy the code to Cloud Functions. You want to ensure that the code cannot be deployed without first passing the tests. How should you configure the unit testing process?

Configure Cloud Build to deploy the Cloud Function. If the code passes the tests, a deployment approval is sent to you.

Configure Cloud Build to deploy the Cloud Function, using the specific service account as the build agent. Run the unit tests after successful deployment.

Configure Cloud Build to run the unit tests. If the code passes the tests, the developer deploys the Cloud Function.

Configure Cloud Build to run the unit tests, using the specific service account as the build agent. If the code passes the tests, Cloud Build deploys the Cloud Function.

NO.40 You are creating and running containers across different projects in Google Cloud. The application you are developing needs to access Google Cloud services from within Google Kubernetes Engine (GKE).
What should you do?

Assign a Google service account to the GKE nodes.

Use a Google service account to run the Pod with Workload Identity.

Store the Google service account credentials as a Kubernetes Secret.

Use a Google service account with GKE role-based access control (RBAC).

NO.41 For this question, refer to the HipLocal case study.
Which Google Cloud product addresses HipLocal’s business requirements for service level indicators and objectives?

Cloud Profiler

Cloud Monitoring

Cloud Trace

Cloud Logging

NO.42 Your application takes an input from a user and publishes it to the user’s contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

Perform Read-Only transactions.

Perform stale reads using single-read methods.

Perform strong reads using single-read methods.

Perform stale reads using read-write transactions.

NO.43 Your company’s product team has a new requirement based on customer demand to autoscale your stateless and distributed service running in a Google Kubernetes Engine (GKE) duster. You want to find a solution that minimizes changes because this feature will go live in two weeks. What should you do?

Deploy a Vertical Pod Autoscaler, and scale based on the CPU load.

Deploy a Vertical Pod Autoscaler, and scale based on a custom metric.

Deploy a Horizontal Pod Autoscaler, and scale based on the CPU toad.

Deploy a Horizontal Pod Autoscaler, and scale based on a custom metric.

NO.44 Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

Include multiple rows with each request.

Perform the inserts in parallel by creating multiple threads.

Write each row to a Cloud Storage object, then load into BigQuery.

Write each row to a Cloud Storage object in parallel, then load into BigQuery.

NO.45 You are developing an event-driven application. You have created a topic to receive messages sent to Pub/Sub. You want those messages to be processed in real time. You need the application to be independent from any other system and only incur compute costs when new messages arrive. You want to configure the simplest and most efficient architecture What should you do?

Deploy your code on Cloud Functions. Use a Pub/Sub trigger to invoke the Cloud Function. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it.

Deploy your code on Cloud Functions. Use a Pub/Sub trigger to handle new messages in the topic.

Deploy the application on Google Kubernetes Engine. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it

Deploy the application on Compute Engine. Use a Pub/Sub push subscription to process new messages in the topic.

NO.46 You are designing an application that uses a microservices architecture. You are planning to deploy the application in the cloud and on-premises. You want to make sure the application can scale up on demand and also use managed services as much as possible. What should you do?

Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.

Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.

Install a GKE cluster in each environment with Anthos, and use Cloud Build to create a Deployment for your application in each cluster.

Create a GKE cluster in the cloud and install open-source Kubernetes on-premises. Use an external load balancer service to distribute traffic across the two environments.

NO.47 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 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 daily.

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 after the change advisory board approves it.

NO.48 You are writing from a Go application to a Cloud Spanner database. You want to optimize your application’s performance using Google-recommended best practices. What should you do?

Write to Cloud Spanner using Cloud Client Libraries.

Write to Cloud Spanner using Google API Client Libraries

Write to Cloud Spanner using a custom gRPC client library.

Write to Cloud Spanner using a third-party HTTP client library.

NO.49 You are using the Cloud Client Library to upload an image in your application to Cloud Storage. Users of the application report that occasionally the upload does not complete and the client library reports an HTTP 504 Gateway Timeout error. You want to make the application more resilient to errors. What changes to the application should you make?

Write an exponential backoff process around the client library call.

Write a one-second wait time backoff process around the client library call.

Design a retry button in the application and ask users to click if the error occurs.

Create a queue for the object and inform the users that the application will try again in 10 minutes.

NO.50 Your application is composed of a set of loosely coupled services orchestrated by code executed on Compute Engine. You want your application to easily bring up new Compute Engine instances that find and use a specific version of a service. How should this be configured?

Define your service endpoint information as metadata that is retrieved at runtime and used to connect to the desired service.

Define your service endpoint information as label data that is retrieved at runtime and used to connect to the desired service.

Define your service endpoint information to be retrieved from an environment variable at runtime and used to connect to the desired service.

Define your service to use a fixed hostname and port to connect to the desired service. Replace the service at the endpoint with your new version.

NO.51 You want to create “fully baked” or “golden” Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production). What should you do?

Embed the appropriate database connection string in the image. Create a different image for each environment.

When creating the Compute Engine instance, add a tag with the name of the database to be connected. In your application, query the Compute Engine API to pull the tags for the current instance, and use the tag to construct the appropriate database connection string.

When creating the Compute Engine instance, create a metadata item with a key of “DATABASE” and a value for the appropriate database connection string. In your application, read the “DATABASE” environment variable, and use the value to connect to the appropriate database.

When creating the Compute Engine instance, create a metadata item with a key of “DATABASE” and a value for the appropriate database connection string. In your application, query the metadata server for the “DATABASE” value, and use the value to connect to the appropriate database.

NO.52 You are planning to migrate a MySQL database to the managed Cloud SQL database for Google Cloud. You have Compute Engine virtual machine instances that will connect with this Cloud SQL instance. You do not want to whitelist IPs for the Compute Engine instances to be able to access Cloud SQL.
What should you do?

Enable private IP for the Cloud SQL instance.

Whitelist a project to access Cloud SQL, and add Compute Engine instances in the whitelisted project.

Create a role in Cloud SQL that allows access to the database from external instances, and assign the Compute Engine instances to that role.

Create a CloudSQL instance on one project. Create Compute engine instances in a different project.Create a VPN between these two projects to allow internal access to CloudSQL.

NO.53 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?

Set the asynchronous option for your requests to the API to false and omit the widget displaying the API results when a timeout or error is encountered.

Set the asynchronous option for your request to the API to true and omit the widget displaying the API results when a timeout or error is encountered.

Catch timeout or error exceptions from the API call and keep trying with exponential backoff until the API response is successful.

Catch timeout or error exceptions from the API call and display the error response in the UI widget.

NO.54 You are designing an application that uses a microservices architecture. You are planning to deploy the application in the cloud and on-premises. You want to make sure the application can scale up on demand and also use managed services as much as possible. What should you do?

Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.

Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.

Install a GKE cluster in each environment with Anthos, and use Cloud Build to create a Deployment for your application in each cluster.

Create a GKE cluster in the cloud and install open-source Kubernetes on-premises. Use an external load balancer service to distribute traffic across the two environments.

NO.55 You are developing a new application that has the following design requirements:
Creation and changes to the application infrastructure are versioned and auditable.
The application and deployment infrastructure uses Google-managed services as much as possible.
The application runs on a serverless compute platform.
How should you design the application’s architecture?

1. Store the application and infrastructure source code in a Git repository.
2. Use Cloud Build to deploy the application infrastructure with Terraform.
3. Deploy the application to a Cloud Function as a pipeline step.

1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline in Jenkins.
2. Configure a pipeline step to pull the application source code from a Git repository.
3. Deploy the application source code to App Engine as a pipeline step.

1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy the application infrastructure using Deployment Manager templates.
2. Configure a pipeline step to create a container with the latest application source code.
3. Deploy the container to a Compute Engine instance as a pipeline step.

1. Deploy the application infrastructure using gcloud commands.
2. Use Cloud Build to define a continuous integration pipeline for changes to the application source code.
3. Configure a pipeline step to pull the application source code from a Git repository, and create a containerized application.
4. Deploy the new container on Cloud Run as a pipeline step.

NO.56 You recently joined a new team that has a Cloud Spanner database instance running in production. Your manager has asked you to optimize the Spanner instance to reduce cost while maintaining high reliability and availability of the database. What should you do?

Use Cloud Logging to check for error logs, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Use Cloud Trace to monitor the requests per sec of incoming requests to Spanner, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Use Cloud Monitoring to monitor the CPU utilization, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Use Snapshot Debugger to check for application errors, and reduce Spanner processing units by small increments until you find the minimum capacity required.

NO.57 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?

Add a cache-control header to the objects.

Request a quota increase from the GCP Console.

Retry the request with a truncated exponential backoff strategy.

Change the storage class of the Cloud Storage bucket to Multi-regional.

Google Professional-Cloud-Developer Pre-Exam Practice Tests | DumpsTorrent: https://www.dumpstorrent.com/Professional-Cloud-Developer-exam-dumps-torrent.html

[2024] Google Professional-Cloud-Developer Practice Verified Answers – Pass Your Exams For Sure! [Q39-Q57]

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