Enhance Your Career With Available Preparation Guide for Professional-Cloud-Developer Exam [Q59-Q82]

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Enhance Your Career With Available Preparation Guide for Professional-Cloud-Developer Exam

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NEW QUESTION 59
Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters. Which command should you use?

kubectl logs [PARAM]

gcloud logging read [PARAM]

kubectl exec -it [PARAM] journalctl

gcloud compute ssh [PARAM] –command= “sudo journalctl”

NEW QUESTION 60
You are working on a social media application. You plan to add a feature that allows users to upload images. These images will be 2 MB – 1 GB in size. You want to minimize their infrastructure operations overhead for this feature. What should you do?

Change the application to accept images directly and store them in the database that stores other user information.

Change the application to create signed URLs for Cloud Storage. Transfer these signed URLs to the client application to upload images to Cloud Storage.

Set up a web server on GCP to accept user images and create a file store to keep uploaded files. Change the application to retrieve images from the file store.

Create a separate bucket for each user in Cloud Storage. Assign a separate service account to allow write access on each bucket. Transfer service account credentials to the client application based on user information. The application uses this service account to upload images to Cloud Storage.

NEW QUESTION 61
Users are complaining that your Cloud Run-hosted website responds too slowly during traffic spikes. You want to provide a better user experience during traffic peaks. What should you do?

Read application configuration and static data from the database on application startup.

Package application configuration and static data into the application image during build time.

Perform as much work as possible in the background after the response has been returned to the user.

Ensure that timeout exceptions and errors cause the Cloud Run instance to exit quickly so a replacement instance can be started.

NEW QUESTION 62
Your organization has recently begun an initiative to replatform their legacy applications onto Google Kubernetes Engine. You need to decompose a monolithic application into microservices. Multiple instances have read and write access to a configuration file, which is stored on a shared file system. You want to minimize the effort required to manage this transition, and you want to avoid rewriting the application code.
What should you do?

Create a new Cloud Storage bucket, and mount it via FUSE in the container.

Create a new persistent disk, and mount the volume as a shared PersistentVolume.

Create a new Filestore instance, and mount the volume as an NFS PersistentVolume.

Create a new ConfigMap and volumeMount to store the contents of the configuration file.

NEW QUESTION 63
You are a SaaS provider deploying dedicated blogging software to customers in your Google Kubernetes Engine (GKE) cluster. You want to configure a secure multi-tenant platform to ensure that each customer has access to only their own blog and can’t affect the workloads of other customers. What should you do?

Enable Application-layer Secrets on the GKE cluster to protect the cluster.

Deploy a namespace per tenant and use Network Policies in each blog deployment.

Use GKE Audit Logging to identify malicious containers and delete them on discovery.

Build a custom image of the blogging software and use Binary Authorization to prevent untrusted image deployments.

NEW QUESTION 64
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.

NEW QUESTION 65
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?

Deployment

StatefulSet

ReplicaSet

ReplicaController

NEW QUESTION 66
You are a developer working with the CI/CD team to troubleshoot a new feature that your team introduced.
The CI/CD team used HashiCorp Packer to create a new Compute Engine image from your development branch. The image was successfully built, but is not booting up. You need to investigate the issue with the CI/CD team. What should you do?

Create a new feature branch, and ask the build team to rebuild the image.

Shut down the deployed virtual machine, export the disk, and then mount the disk locally to access the boot logs.

Install Packer locally, build the Compute Engine image locally, and then run it in your personal Google Cloud project.

Check Compute Engine OS logs using the serial port, and check the Cloud Logging logs to confirm access to the serial port.

NEW QUESTION 67
You are running an application on App Engine that you inherited. You want to find out whether the application is using insecure binaries or is vulnerable to XSS attacks. Which service should you use?

Cloud Amor

Stackdriver Debugger

Cloud Security Scanner

Stackdriver Error Reporting

NEW QUESTION 68
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.

NEW QUESTION 69
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it’s time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal’s environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal’s investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
Which service should HipLocal use to enable access to internal apps?

Cloud VPN

Cloud Armor

Virtual Private Cloud

Cloud Identity-Aware Proxy

NEW QUESTION 70
Which equipment is used to check if an AC power outlet is properly grounded?

A conductive workbench mat

A ground polarity tester

A grounding cord with alligator clips

A nylon probe tool (black stick)

NEW QUESTION 71
HipLocal’s data science team wants to analyze user reviews.
How should they prepare the data?

Use the Cloud Data Loss Prevention API for redaction of the review dataset.

Use the Cloud Data Loss Prevention API for de-identification of the review dataset.

Use the Cloud Natural Language Processing API for redaction of the review dataset.

Use the Cloud Natural Language Processing API for de-identification of the review dataset.

NEW QUESTION 72
Case Study
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it’s time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal’s environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal’s investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal’s APIs are showing occasional failures, but they cannot find a pattern. They want to collect some metrics to help them troubleshoot.
What should they do?

Take frequent snapshots of all of the VMs.

Install the Stackdriver Logging agent on the VMs.

Install the Stackdriver Monitoring agent on the VMs.

Use Stackdriver Trace to look for performance bottlenecks.

NEW QUESTION 73
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.

NEW QUESTION 74
Your application performs well when tested locally, but it runs significantly slower when you deploy it to App Engine standard environment. You want to diagnose the problem.
What should you do?

File a ticket with Cloud Support indicating that the application performs faster locally.

Use Stackdriver Debugger Snapshots to look at a point-in-time execution of the application.

Use Stackdriver Trace to determine which functions within the application have higher latency.

Add logging commands to the application and use Stackdriver Logging to check where the latency problem occurs.

NEW QUESTION 75
HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.
Which configuration should they choose?

Use the current single instance MySQL on Compute Engine and several read-only MySQL servers on Compute Engine.

Use the current single instance MySQL on Compute Engine, and replicate the data to Cloud SQL in an external master configuration.

Replace the current single instance MySQL instance with Cloud SQL, and configure high availability.

Replace the current single instance MySQL instance with Cloud SQL, and Google provides redundancy without further configuration.

NEW QUESTION 76
You are working on a social media application. You plan to add a feature that allows users to upload images. These images will be 2 MB – 1 GB in size. You want to minimize their infrastructure operations overhead for this feature. What should you do?

Change the application to accept images directly and store them in the database that stores other user information.

Change the application to create signed URLs for Cloud Storage. Transfer these signed URLs to the client application to upload images to Cloud Storage.

Set up a web server on GCP to accept user images and create a file store to keep uploaded files. Change the application to retrieve images from the file store.

NEW QUESTION 77
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.

NEW QUESTION 78
You are building an API that will be used by Android and iOS apps The API must:
* Support HTTPs
* Minimize bandwidth cost
* Integrate easily with mobile apps
Which API architecture should you use?

RESTful APIs

MQTT for APIs

gRPC-based APIs

SOAP-based APIs

NEW QUESTION 79
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?

Deployment

StatefulSet

ReplicaSet

ReplicaController

NEW QUESTION 80
You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?

Add RUN commands in the Dockerfile to execute unit and integration tests.

Create a Cloud Build build config file with a single build step to compile unit and integration tests.

Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration tests.

Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.

NEW QUESTION 81
Your company’s development teams want to use Cloud Build in their projects to build and push Docker images to Container Registry. The operations team requires all Docker images to be published to a centralized, securely managed Docker registry that the operations team manages.
What should you do?

Use Container Registry to create a registry in each development team’s project. Configure the Cloud Build build to push the Docker image to the project’s registry. Grant the operations team access to each development team’s registry.

Create a separate project for the operations team that has Container Registry configured. Assign appropriate permissions to the Cloud Build service account in each developer team’s project to allow access to the operation team’s registry.

Create a separate project for the operations team that has Container Registry configured. Create a Service Account for each development team and assign the appropriate permissions to allow it access to the operations team’s registry. Store the service account key file in the source code repository and use it to authenticate against the operations team’s registry.

Create a separate project for the operations team that has the open source Docker Registry deployed on a Compute Engine virtual machine instance. Create a username and password for each development team.
Store the username and password in the source code repository and use it to authenticate against the operations team’s Docker registry.

NEW QUESTION 82
You are developing a Java Web Server that needs to interact with Google Cloud services via the Google Cloud API on the user’s behalf. Users should be able to authenticate to the Google Cloud API using their Google Cloud identities. Which workflow should you implement in your web application?

1) When a user arrives at your application, prompt them for their Google username and password.
2) Store an SHA password hash in your application’s database along with the user’s username.
3) The application authenticates to the Google Cloud API using HTTPs requests with the user’s username and password hash in the Authorization request header.

1) When a user arrives at your application, prompt them for their Google username and password.
2) Forward the user’s username and password in an HTTPS request to the Google Cloud authorization server, and request an access token.
3) The Google server validates the user’s credentials and returns an access token to the application.
4) The application uses the access token to call the Google Cloud API.

1) When a user arrives at your application, route them to a Google Cloud consent screen with a list of requested permissions that prompts the user to sign in with SSO to their Google Account.
2) After the user signs in and provides consent, your application receives an authorization code from a Google server.
3) The Google server returns the authorization code to the user, which is stored in the browser’s cookies.
4) The user authenticates to the Google Cloud API using the authorization code in the cookie.

1) When a user arrives at your application, route them to a Google Cloud consent screen with a list of requested permissions that prompts the user to sign in with SSO to their Google Account.
2) After the user signs in and provides consent, your application receives an authorization code from a Google server.
3) The application requests a Google Server to exchange the authorization code with an access token.
4) The Google server responds with the access token that is used by the application to call the Google Cloud API.

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