Free Google (Professional-Cloud-Developer) Certification Sample Questions with Online Practice Test [Q39-Q59]

Q39. You are developing a new web application using Cloud Run and committing code to Cloud Source Repositories. You want to deploy new code in the most efficient way possible. You have already created a Cloud Build YAML file that builds a container and runs the following command: gcloud run deploy. What should you do next?

Create a Pub/Sub topic to be notified when code is pushed to the repository. Create a Pub/Sub trigger that runs the build file when an event is published to the topic.

Create a build trigger that runs the build file in response to a repository code being pushed to the development branch.

Create a webhook build trigger that runs the build file in response to HTTP POST calls to the webhook URL.

Create a Cron job that runs the following command every 24 hours: gcloud builds submit.

Q40. 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?

Migrate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.

Create Compute Engine instances with HDD instead of SSD to save costs. Then perform a full migration of your existing environment into the new one in Compute Engine instances.

Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster. Move your HDFS data into larger HDD disks to save on storage costs.

Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster. Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.

Q41. You need to migrate a standalone Java application running in an on-premises Linux virtual machine (VM) to Google Cloud in a cost-effective manner. You decide not to take the lift-and-shift approach, and instead you plan to modernize the application by converting it to a container. How should you accomplish this task?

Use Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.

Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.

Use Migrate for Compute Engine to migrate the VM to a Compute Engine instance, and use Cloud Build to convert it to a container.

Use Jib to build a Docker image from your source code, and upload it to Artifact Registry. Deploy the application in a GKE cluster, and test the application.

Q42. HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.
Which IP strategy should they use?

Create manual subnets.

Create an auto mode subnet.

Create multiple peered VPCs.

Provision a single instance for NAT.

Q43. 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.

Q44. Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team. Which command should you run?

gsutil test -o output.json gs://my-bucket

gsutil perfdiag -o output.json gs://my-bucket

gcloud compute scp example-instance:~/test-data -o output.json gs://my-bucket

gcloud services test -o output.json gs://my-bucket

Q45. Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible. What should you do?

Use HTTP signed URLs to securely provide access to the required resources.

Use the instance’s service account Application Default Credentials to authenticate to the required resources.

Generate a P12 file from the GCP Console after the instance is deployed, and copy the credentials to the host instance before starting the application.

Commit the credential JSON file into your application’s source repository, and have your CI/CD process package it with the software that is deployed to the instance.

Q46. You are creating an App Engine application that writes a file to any user’s Google Drive.
How should the application authenticate to the Google Drive API?

With an OAuth Client ID that uses the https://www.googleapis.com/auth/drive.file scope to obtain an access token for each user.

With an OAuth Client ID with delegated domain-wide authority.

With the App Engine service account and https://www.googleapis.com/auth/drive.file scope that generates a signed JWT.

With the App Engine service account with delegated domain-wide authority.

Q47. You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP
503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates. Which approach should you take?

Retry the failures in batch after a set number of failures is logged.

Retry each failure at a set time interval up to a maximum number of times.

Retry each failure at increasing time intervals up to a maximum number of tries.

Retry each failure at decreasing time intervals up to a maximum number of tries.

Q48. You recently deployed a Go application on Google Kubernetes Engine (GKE). The operations team has noticed that the application’s CPU usage is high even when there is low production traffic. The operations team has asked you to optimize your application’s CPU resource consumption. You want to determine which Go functions consume the largest amount of CPU. What should you do?

Deploy a Fluent Bit daemonset on the GKE cluster to log data in Cloud Logging. Analyze the logs to get insights into your application code’s performance.

Create a custom dashboard in Cloud Monitoring to evaluate the CPU performance metrics of your application.

Connect to your GKE nodes using SSH. Run the top command on the shell to extract the CPU utilization of your application.

Modify your Go application to capture profiling data. Analyze the CPU metrics of your application in flame graphs in Profiler.

Q49. Your company wants to expand their users outside the United States for their popular application. The company wants to ensure 99.999% availability of the database for their application and also wants to minimize the read latency for their users across the globe.
Which two actions should they take? (Choose two.)

Create a multi-regional Cloud Spanner instance with “nam-asia-eur1” configuration.

Create a multi-regional Cloud Spanner instance with “nam3” configuration.

Create a cluster with at least 3 Spanner nodes.

Create a cluster with at least 1 Spanner node.

Create a minimum of two Cloud Spanner instances in separate regions with at least one node.

Create a Cloud Dataflow pipeline to replicate data across different databases.

Q50. You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.
You want to scale your GKE Deployment to be able to process messages in a timely manner. What GKE feature should you use to automatically adapt your workload?

Vertical Pod Autoscaler in Auto mode

Vertical Pod Autoscaler in Recommendation mode

Horizontal Pod Autoscaler based on an external metric

Horizontal Pod Autoscaler based on resources utilization

Q51. Your development team has been asked to refactor an existing monolithic application into a set of composable microservices. Which design aspects should you implement for the new application? (Choose two.)

Develop the microservice code in the same programming language used by the microservice caller.

Create an API contract agreement between the microservice implementation and microservice caller.

Require asynchronous communications between all microservice implementations and microservice callers.

Ensure that sufficient instances of the microservice are running to accommodate the performance requirements.

Implement a versioning scheme to permit future changes that could be incompatible with the current interface.

Q52. You need to deploy a new European version of a website hosted on Google Kubernetes Engine. The current and new websites must be accessed via the same HTTP(S) load balancer’s external IP address, but have different domain names. What should you do?

Define a new Ingress resource with a host rule matching the new domain

Modify the existing Ingress resource with a host rule matching the new domain

Create a new Service of type LoadBalancer specifying the existing IP address as the loadBalancerIP

Generate a new Ingress resource and specify the existing IP address as the kubernetes.io/ingress.global-static-ip-name annotation value

Q53. Please refer to the following information to answer the questions on the right.
Debra has brought her iPad Pro to you for troubleshooting. She has been experiencing very slow charging of the battery and says the only way she can get a full charge is to leave the iPad alone for more than 12 hours.
She brought in an Apple Power adapter and Lightning to USB cable. When you examine the power adapter, you notice that it is an iPhone power adapter not an iPad power adapter. You also noticed she was using an iPhone 6s while waiting to see you. Debra thinks her iPad is defective because her iPhone has no issue charging with this power adapter and cable.
Based on the information Debra provided, in which problem space does this issue fit?

Educational opportunity

User Data

Environmental

Software

Q54. You are trying to connect to your Google Kubernetes Engine (GKE) cluster using kubectl from Cloud Shell.
You have deployed your GKE cluster with a public endpoint. From Cloud Shell, you run the following command:

You notice that the kubectl commands time out without returning an error message. What is the most likely cause of this issue?

Your user account does not have privileges to interact with the cluster using kubectl.

Your Cloud Shell external IP address is not part of the authorized networks of the cluster.

The Cloud Shell is not part of the same VPC as the GKE cluster.

A VPC firewall is blocking access to the cluster’s endpoint.

Q55. 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.

Q56. 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?

Set Account_idas a key.

Set Account_id_Event_timestampas a key.

Set Event_timestamp_Account_idas a key.

Set Event_timestampas a key.

Q57. 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?

Get the entity with an ancestor query.

Get and put the entity in a transaction.

Use a strongly consistent transactional database.

Don’t return the account entity from the function.

Q58. 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?

Distribute the uploads across a large number of individual storage buckets.

Use the XML API instead of the JSON API for interfacing with Cloud Storage.

Pass the HTTP response codes back to clients that are invoking the uploads from your application.

Limit the upload rate from your application clients so that the dormant bucket’s peak request rate is

Q59. You want to re-architect a monolithic application so that it follows a microservices model. You want to accomplish this efficiently while minimizing the impact of this change to the business.
Which approach should you take?

Deploy the application to Compute Engine and turn on autoscaling.

Replace the application’s features with appropriate microservices in phases.

Refactor the monolithic application with appropriate microservices in a single effort and deploy it.

Build a new application with the appropriate microservices separate from the monolith and replace it when it is complete.