Free Google Professional-Cloud-Developer Exam Questions

Become Google Certified with updated Professional-Cloud-Developer exam questions and correct answers

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Total 623 Questions | Updated On: Nov 14, 2024

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Question 1

The "Master" dataset in BigQuery contains employee travel and expenses information, which is classified by department. To ensure that employees can only access information related to their respective department, a security framework needs to be implemented with minimal steps.

What actions do you need to take?

A : Create a separate dataset for each department. Create a view with a WHERE clause to select records from a specific dataset for that department. Authorize the view to access records from the Master dataset. Give employees permission to the department-specific dataset.

B : Create a separate dataset for each department. Create a data pipeline to copy relevant information from the Master dataset to the department-specific dataset. Give employees permission to the department-specific dataset.

C : Create a Master dataset. Create a separate view for each department in the Master dataset. Give employees access to their department's view.

D : Create a Master dataset. Create a separate table for each department in the Master dataset. Give employees access to their department's table.

Answer: C

Question 2

An application is being managed on a Compute Engine instance, alongside multiple backend services that are run on stand-alone Docker containers in Compute Engine instances. These Compute Engine instances supporting the backend services are scaled by managed instance groups across several regions. In order to ensure a loosely coupled calling application, it is necessary to be able to invoke individual service implementations which are selected based on the value of an HTTP header located within the request.

What is the appropriate Google Cloud feature to activate the backend services?

A : Internal HTTP(S) Load Balancing

B : Anthos Service Mesh

C : Traffic Director

D : Service Directory

Answer: C

Question 3

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?

A : 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.

B : 1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline inJenkins.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.

C : 1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy theapplication 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.

D : 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 acontainerized application.4. Deploy the new container on Cloud Run as a pipeline step.

Answer: D

Question 4

An API is being developed for use in Android and iOS apps.

What kind of API architecture would be suitable for an API that needs to support HTTPs, minimize bandwidth cost, and integrate easily with mobile apps?

A : MQTT for APIs

B : RESTful APIs

C : gRPC-based APIs

D : SOAP-based APIs

Answer: B

Question 5

Your application is deployed across several Google Kubernetes Engine clusters, with each cluster managed by a Deployment. The Deployment has generated several replicas of your Pod in every cluster. You intend to access the logs sent to stdout for all the replicas in your Deployment across all clusters.

What is the appropriate command to use?

A : kubectl logs [PARAM]

B : gcloud logging read [PARAM]

C : kubectl exec ""it [PARAM] journalctl

D : gcloud compute ssh [PARAM] ""-command= 'sudo journalctl'

Answer: B

Page: 1 / 125

Total 623 Questions | Updated On: Nov 14, 2024

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