[May-2023] Get 100% Real Free Cloud Developer Professional-Cloud-Developer Sample Questions Accurate Professional-Cloud-Developer Questions with Free and Fast Updates Section 5: Managing Application Performance Monitoring The last module of the certification test focuses on the ability of the applicants to perform the following technical tasks: managing Compute Engine Virtual Machines (VMs), managing [...]

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[May-2023] Get 100% Real Free Cloud Developer Professional-Cloud-Developer Sample Questions [Q82-Q106]

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[May-2023] Get 100% Real Free Cloud Developer Professional-Cloud-Developer Sample Questions

Accurate Professional-Cloud-Developer Questions with Free and Fast Updates


Section 5: Managing Application Performance Monitoring

The last module of the certification test focuses on the ability of the applicants to perform the following technical tasks: managing Compute Engine Virtual Machines (VMs), managing Google Kubernetes Engine workloads, as well as troubleshooting the application performance.

Some of the questions included in the Google Professional Cloud Developer certification exam may guide you to a case study describing a fictitious solution and business concept. This will provide you with additional context to choose the right answer(s). You can get an idea of a possible case study by studying the example contained in the official study guide.


The certification exam covers a wide range of topics related to developing applications on GCP. These include deploying applications, managing application performance, working with data storage services, and integrating Google Cloud services. The exam also covers topics such as testing and debugging applications, designing and developing highly scalable and resilient applications, and managing application security.

 

NEW QUESTION # 82
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?

  • A. Set Account_id_Event_timestamp as a key.
  • B. Set Event_timestamp as a key.
  • C. Set Event_timestamp_Account_id as a key.
  • D. Set Account_id as a key.

Answer: C


NEW QUESTION # 83
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?

  • A. gcloud logging read [PARAM]
  • B. kubectl exec -it [PARAM] journalctl
  • C. gcloud compute ssh [PARAM] --command= "sudo journalctl"
  • D. kubectl logs [PARAM]

Answer: C


NEW QUESTION # 84
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.
In order to meet their business requirements, how should HipLocal store their application state?

  • A. Move the state storage to Cloud Spanner.
  • B. Put a memcache layer in front of MySQL.
  • C. Replace the MySQL instance with Cloud SQL.
  • D. Use local SSDs to store state.

Answer: B


NEW QUESTION # 85
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?

  • A. Retry the request with a truncated exponential backoff strategy.
  • B. Add a cache-control header to the objects.
  • C. Change the storage class of the Cloud Storage bucket to Multi-regional.
  • D. Request a quota increase from the GCP Console.

Answer: A

Explanation:
Explanation/Reference: https://developers.google.com/gmail/api/v1/reference/quota


NEW QUESTION # 86
Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B.
You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing. What should you do?

  • A. Deploy the Pub/Sub emulator on your local machine. Point the production application to your local Pub/Sub topics. Write mock messages to topic A, and then analyze the logs.
  • B. Deploy the Pub/Sub and Cloud Run emulators on your local machine. Deploy the application locally, and change the logging level in the application to DEBUG or INFO. Write mock messages to topic A, and then analyze the logs.
  • C. Use the gcloud CLI to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
  • D. Use the Google Cloud console to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

Answer: B


NEW QUESTION # 87
Your company has deployed a new API to a Compute Engine instance. During testing, the API is not behaving as expected. You want to monitor the application over 12 hours to diagnose the problem within the application code without redeploying the application. Which tool should you use?

  • A. Cloud Monitoring
  • B. Cloud Debugger snapshots
  • C. Cloud Debugger logpoints
  • D. Cloud Trace

Answer: C

Explanation:
Explanation
https://cloud.google.com/debugger/docs/using/logpoints
Logpoints allow you to inject logging into running services without restarting or interfering with the normal function of the service


NEW QUESTION # 88
You are developing a web application that contains private images and videos stored in a Cloud Storage bucket. Your users are anonymous and do not have Google Accounts. You want to use your application-specific logic to control access to the images and videos. How should you configure access?

  • A. Cache each web application user's IP address to create a named IP table using Google Cloud Armor.
    Create a Google Cloud Armor security policy that allows users to access the backend bucket.
  • B. Generate a signed URL that grants read access to the bucket. Allow users to access the URL after authenticating through your web application.
  • C. Grant the Storage Object Viewer IAM role to allUsers. Allow users to access the bucket after authenticating through your web application.
  • D. Configure Identity-Aware Proxy (IAP) to authenticate users into the web application. Allow users to access the bucket after authenticating through IAP.

Answer: B

Explanation:
Explanation
https://cloud.google.com/storage/docs/access-control/signed-urls#should-you-use In some scenarios, you might not want to require your users to have a Google account in order to access Cloud Storage, but you still want to control access using your application-specific logic. The typical way to address this use case is to provide a signed URL to a user, which gives the user read, write, or delete access to that resource for a limited time. You specify an expiration time when you create the signed URL. Anyone who knows the URL can access the resource until the expiration time for the URL is reached or the key used to sign the URL is rotated.


NEW QUESTION # 89
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?

  • A. Create multiple peered VPCs.
  • B. Create an auto mode subnet.
  • C. Create manual subnets.
  • D. Provision a single instance for NAT.

Answer: C


NEW QUESTION # 90
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?

  • A. 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.
  • B. Create a role in Cloud SQL that allows access to the database from external instances, and assign the Compute Engine instances to that role.
  • C. Whitelist a project to access Cloud SQL, and add Compute Engine instances in the whitelisted project.
  • D. Enable private IP for the Cloud SQL instance.

Answer: B

Explanation:
Reference: https://cloud.google.com/sql/docs/mysql/connect-external-app


NEW QUESTION # 91
Your application is running on Compute Engine and is showing sustained failures for a small number of requests. You have narrowed the cause down to a single Compute Engine instance, but the instance is unresponsive to SSH. What should you do next?

  • A. Reboot the machine.
  • B. Enable and check the serial port output.
  • C. Take a snapshot of the disk and attach it to a new machine.
  • D. Delete the machine and create a new one.

Answer: A


NEW QUESTION # 92
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

  • A. Use FTP to upload files.
  • B. Change the API to be a multipart file upload API.
  • C. Use signed URLs to upload files.
  • D. Use CPanel to upload files.

Answer: C

Explanation:
Explanation/Reference:
Reference: https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform


NEW QUESTION # 93
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.
HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.
Which configuration should they choose?

  • A. Replace the current single instance MySQL instance with Cloud SQL, and configure high availability.
  • B. Use the current single instance MySQL on Compute Engine, and replicate the data to Cloud SQL in an external master configuration.
  • C. Replace the current single instance MySQL instance with Cloud SQL, and Google provides redundancy without further configuration.
  • D. Use the current single instance MySQL on Compute Engine and several read-only MySQL servers on Compute Engine.

Answer: B


NEW QUESTION # 94
Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster. The service will need to scale as quickly as possible to respond to changing load. What should you do?

  • A. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
  • B. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
  • C. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
  • D. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.

Answer: B

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/service


NEW QUESTION # 95
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.
HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

  • A. Use Knative to build and deploy serverless applications.
  • B. Use Google App Engine services.
  • C. Use a large Google Compute Engine cluster for deployments.
  • D. Use serverless Google Cloud Functions.
  • E. Use Google Kubernetes Engine for automated deployments.

Answer: A,D


NEW QUESTION # 96
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. 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.
  • B. 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.
  • C. 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.
  • D. 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.

Answer: A

Explanation:
4. Deploy the new container on Cloud Run as a pipeline step.


NEW QUESTION # 97
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?

  • A. Store the Google service account credentials as a Kubernetes Secret.
  • B. Use a Google service account to run the Pod with Workload Identity.
  • C. Use a Google service account with GKE role-based access control (RBAC).
  • D. Assign a Google service account to the GKE nodes.

Answer: B

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity


NEW QUESTION # 98
Your team is developing an application in Google Cloud that executes with user identities maintained by Cloud Identity. Each of your application's users will have an associated Pub/Sub topic to which messages are published, and a Pub/Sub subscription where the same user will retrieve published messages. You need to ensure that only authorized users can publish and subscribe to their own specific Pub/Sub topic and subscription. What should you do?

  • A. Grant the user identity the pubsub.publisher and pubsub.subscriber roles at the project level.
  • B. Bind the user identity to the pubsub.publisher and pubsub.subscriber roles at the resource level.
  • C. Configure the application to run as a service account that has the pubsub.publisher and pubsub.subscriber roles.
  • D. Grant the user identity a custom role that contains the pubsub.topics.create and pubsub.subscriptions.create permissions.

Answer: D


NEW QUESTION # 99
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?

  • A. gcloud logging read [PARAM]
  • B. kubectl exec -it [PARAM] journalctl
  • C. gcloud compute ssh [PARAM] --command= "sudo journalctl"
  • D. kubectl logs [PARAM]

Answer: C


NEW QUESTION # 100
HipLocal's data science team wants to analyze user reviews.
How should they prepare the data?

  • A. Use the Cloud Data Loss Prevention API for de-identification of the review dataset.
  • B. Use the Cloud Data Loss Prevention API for redaction of the review dataset.
  • C. Use the Cloud Natural Language Processing API for redaction of the review dataset.
  • D. Use the Cloud Natural Language Processing API for de-identification of the review dataset.

Answer: A

Explanation:
Explanation
https://cloud.google.com/dlp/docs/deidentify-sensitive-data


NEW QUESTION # 101
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

  • A. Use FTP to upload files.
  • B. Change the API to be a multipart file upload API.
  • C. Use signed URLs to upload files.
  • D. Use CPanel to upload files.

Answer: C

Explanation:
Reference:
https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform
Topic 1, HipLocal 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 10,000 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


NEW QUESTION # 102
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 wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

  • A. Use Knative to build and deploy serverless applications.
  • B. Use Google App Engine services.
  • C. Use a large Google Compute Engine cluster for deployments.
  • D. Use serverless Google Cloud Functions.
  • E. Use Google Kubernetes Engine for automated deployments.

Answer: A,D

Explanation:
Explanation


NEW QUESTION # 103
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?

  • A. Write each row to a Cloud Storage object, then load into BigQuery.
  • B. Write each row to a Cloud Storage object in parallel, then load into BigQuery.
  • C. Perform the inserts in parallel by creating multiple threads.
  • D. Include multiple rows with each request.

Answer: C


NEW QUESTION # 104
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?

  • A. ReplicaController
  • B. ReplicaSet
  • C. Deployment
  • D. StatefulSet

Answer: D

Explanation:
Reference:
https://livebook.manning.com/book/kubernetes-in-action/chapter-10/46


NEW QUESTION # 105
You are a developer at a large organization. You have an application written in Go running in a production Google Kubernetes Engine (GKE) cluster. You need to add a new feature that requires access to BigQuery.
You want to grant BigQuery access to your GKE cluster following Google-recommended best practices. What should you do?

  • A. Create a Google service account with BigQuery access. Add the Google service account JSON key to Secret Manager, and use an init container to access the secret for the application to use.
  • B. Create a Google service account and a Kubernetes service account. Configure Workload Identity on the GKE cluster, and reference the Kubernetes service account on the application Deployment.
  • C. Create a Google service account with BigQuery access. Add the Google service account JSON key as a Kubernetes secret, and configure the application to use this secret.
  • D. Create a Google service account with BigQuery access. Add the JSON key to Secret Manager, and use the Go client library to access the JSON key.

Answer: B

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity#what_is Applications running on GKE might need access to Google Cloud APIs such as Compute Engine API, BigQuery Storage API, or Machine Learning APIs.
Workload Identity allows a Kubernetes service account in your GKE cluster to act as an IAM service account.
Pods that use the configured Kubernetes service account automatically authenticate as the IAM service account when accessing Google Cloud APIs. Using Workload Identity allows you to assign distinct, fine-grained identities and authorization for each application in your cluster.


NEW QUESTION # 106
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Preparation Sources and Resources

The candidates can find everything they need to prepare for the Google Professional Cloud Developer certification exam on the official website. To help the learners build the required skillset for the qualifying test, Google has developed a variety of tools. The best way to start your preparation process is to review the topics in the study guide. This will provide you with an understanding of what you need to cover while preparing for the exam.

After that, you can proceed with the Cloud Developer learning path. This is an online self-study training tool that includes lectures, demos, and hands-on labs for a better understanding of the Google Cloud products and services. Besides that, the official platform offers sample questions that enable the learners to familiarize themselves with the format of exam questions and content that may be covered in the certification test. To enhance your understanding of the exam domains, refer to the additional resources such as Google Cloud documentation and Google Cloud solutions. The students can also sign up for a subject-related webinar to get valuable tips and insights from the industry experts.

 

Professional-Cloud-Developer Study Guide Realistic Verified Dumps: https://lead2pass.guidetorrent.com/Professional-Cloud-Developer-dumps-questions.html

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Google Professional-Cloud-Developer Certification Practice Exam