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Earning the Google Professional-Cloud-Developer certification can help professionals advance their careers in cloud development and demonstrate their expertise to potential employers. Google Certified Professional - Cloud Developer certification can also help professionals gain a deeper understanding of the GCP and its various services, enabling them to build and deploy high-quality applications that meet the needs of their clients and users. Overall, the Google Professional-Cloud-Developer certification is an excellent way for developers to demonstrate their skills and knowledge in cloud development and stand out in a competitive job market.
Google Professional-Cloud-Developer exam is a certification offered by Google Cloud to developers who want to validate their expertise in developing and deploying applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification is intended for individuals who have experience in designing, building, testing, and deploying cloud-based applications using Google Cloud technologies such as App Engine, Compute Engine, Kubernetes, and Stackdriver. Professional-Cloud-Developer exam measures the candidate's proficiency in various areas such as application deployment, cloud storage, security, and monitoring.
NEW QUESTION # 234
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?
- A. Deploy a namespace per tenant and use Network Policies in each blog deployment.
- B. Enable Application-layer Secrets on the GKE cluster to protect the cluster.
- C. Build a custom image of the blogging software and use Binary Authorization to prevent untrusted image deployments.
- D. Use GKE Audit Logging to identify malicious containers and delete them on discovery.
Answer: A
Explanation:
Reference: https://cloud.google.com/kubernetes-engine/docs/concepts/multitenancy-overview
NEW QUESTION # 235
You work for a web development team at a small startup. Your team is developing a Node.js application using Google Cloud services, including Cloud Storage and Cloud Build. The team uses a Git repository for version control. Your manager calls you over the weekend and instructs you to make an emergency update to one of the company's websites, and you're the only developer available. You need to access Google Cloud to make the update, but you don't have your work laptop. You are not allowed to store source code locally on a non-corporate computer. How should you set up your developer environment?
- A. Use a text editor and the Git command line to send your source code updates as pull requests from a public computer.
- B. Use Cloud Shell and the built-in code editor for development. Send your source code updates as pull requests.
- C. Use a Cloud Storage bucket to store the source code that you need to edit. Mount the bucket to a public computer as a drive, and use a code editor to update the code. Turn on versioning for the bucket, and point it to the team's Git repository.
- D. Use a text editor and the Git command line to send your source code updates as pull requests from a virtual machine running on a public computer.
Answer: B
Explanation:
https://cloud.google.com/shell/docs
NEW QUESTION # 236
Select the statement that appropriately sets customer expectations when fixing an issue.
- A. "I promise to have the product ready by midday tomorrow."
- B. "Our courier always delivers on time."
- C. "Repairing this component is easy. We never fail to do it in less than four hours."
- D. "We currently do not have that part in stock. I can call you as soon as the part arrives."
Answer: D
NEW QUESTION # 237
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. Provision a single instance for NAT.
- C. Create manual subnets.
- D. Create an auto mode subnet.
Answer: C
Explanation:
Topic 2, Mix Questions
Mix Questions
Professional-Cloud-Developer Mix Questions IN THIS CASE STUDY
NEW QUESTION # 238
In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?
- A. Cloud Datastore
- B. Cloud Memorystore as a cache
- C. Cloud Spanner
- D. Separate Cloud SQL clusters for each region
Answer: D
Explanation:
Topic 1, HipLocal
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 # 239
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 with GKE role-based access control (RBAC).
- C. Assign a Google service account to the GKE nodes.
- D. Use a Google service account to run the Pod with Workload Identity.
Answer: D
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity
NEW QUESTION # 240
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?
- A. Use Migrate for Compute Engine to migrate the VM to a Compute Engine instance, and use Cloud Build to convert it to a container.
- B. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
- C. Use Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.
- D. 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.
Answer: D
Explanation:
Jib is a tool that builds Docker images from Java code without the need for a Dockerfile. This makes it easy to containerize Java applications, even if you don't have any experience with Docker.
NEW QUESTION # 241
You are developing an application that will store and access sensitive unstructured data objects in a Cloud Storage bucket. To comply with regulatory requirements, you need to ensure that all data objects are available for at least 7 years after their initial creation. Objects created more than 3 years ago are accessed very infrequently (less than once a year). You need to configure object storage while ensuring that storage cost is optimized. What should you do? (Choose two.)
- A. Use IAM Conditions to provide access to objects 7 years after the object creation date.
- B. Create an object lifecycle policy on the bucket that moves objects from Standard Storage to Archive Storage after 3 years.
- C. Implement a Cloud Function that checks the age of each object in the bucket and moves the objects older than 3 years to a second bucket with the Archive Storage class. Use Cloud Scheduler to trigger the Cloud Function on a daily schedule.
- D. Enable Object Versioning to prevent objects from being accidentally deleted for 7 years after object creation.
- E. Set a retention policy on the bucket with a period of 7 years.
Answer: B,E
Explanation:
Explanation
https://cloud.google.com/storage/docs/bucket-lock
This page discusses the Bucket Lock feature, which allows you to configure a data retention policy for a Cloud Storage bucket that governs how long objects in the bucket must be retained. The feature also allows you to lock the data retention policy, permanently preventing the policy from being reduced or removed.
https://cloud.google.com/storage/docs/storage-classes#archive
Archive storage is the lowest-cost, highly durable storage service for data archiving, online backup, and disaster recovery. Unlike the "coldest" storage services offered by other Cloud providers, your data is available within milliseconds, not hours or days.
Archive storage is the best choice for data that you plan to access less than once a year.
NEW QUESTION # 242
You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud. What should you do?
- A. Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.
- B. Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.
- C. Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.
- D. Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.
Answer: B
Explanation:
https://cloud.google.com/pubsub/docs/emulator
NEW QUESTION # 243
You are designing an application that consists of several microservices. Each microservice has its own RESTful API and will be deployed as a separate Kubernetes Service. You want to ensure that the consumers of these APIs aren't impacted when there is a change to your API, and also ensure that third-party systems aren't interrupted when new versions of the API are released. How should you configure the connection to the application following Google-recommended best practices?
- A. Leverage a Service Discovery system, and connect to the backend specified by the request.
- B. Use multiple clusters, and use DNS entries to route requests to separate versioned backends.
- C. Combine multiple versions in the same service, and then specify the API version in the POST request.
- D. Use an Ingress that uses the API's URL to route requests to the appropriate backend.
Answer: C
NEW QUESTION # 244
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.
In order to meet their business requirements, how should HipLocal store their application state?
- A. Replace the MySQL instance with Cloud SQL.
- B. Move the state storage to Cloud Spanner.
- C. Put a memcache layer in front of MySQL.
- D. Use local SSDs to store state.
Answer: C
Explanation:
Explanation/Reference:
NEW QUESTION # 245
You have a Cloud Run service that needs to connect to a Cloud SQL instance in a different project. You provisioned the Cloud Run service account with the Cloud SQL Client IAM role on the project that is hosting Cloud SQL. However, when you test the connection, the connection fails. You want to fix the connection failure while following Google-recommended practices. What should you do?
- A. Add the cloudsql.instances.connect IAM permission to the Cloud Run service account.
- B. Migrate the Cloud SQL instance into the same project as the Cloud Run service.
- C. Request additional API quota for Cloud SQL Auth Proxy.
- D. Enable the Cloud SQL Admin API in both projects.
Answer: D
Explanation:
For Cloud Run to connect to a Cloud SQL instance in another project, the Cloud SQL Admin API must be enabled in both the project hosting the Cloud Run service and the project hosting the Cloud SQL instance. This API is required to establish secure connections between the service and the database.
You've already assigned the Cloud SQL Client IAM role, which includes the necessary cloudsql.instances.connect permission. Additional steps, like migrating the Cloud SQL instance to the same project or requesting API quota, are unnecessary and would not resolve the connection issue.
NEW QUESTION # 246
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?
- A. 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.
- B. 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.
- C. 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.
- D. 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.
Answer: C
Explanation:
Reference: https://cloud.google.com/container-registry/
NEW QUESTION # 247
You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?
- A. Configure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.
- B. Deploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime
- C. Rename the Cloud Functions and Cloud Run services endpoints using a well-documented naming convention
- D. Create a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.
Answer: A
NEW QUESTION # 248
You use Cloud Build to build and test container images prior to deploying them to Cloud Run.
Your images are stored in Artifact Registry. You need to ensure that only container images that have passed testing are deployed. You want to minimize operational overhead. What should you do?
- A. Configure build provenance on your Cloud Build pipeline. Verify that all the tests have passed, and then deploy the image to a Cloud Run service.
- B. Enable Binary Authorization on your Cloud Run service. Create an attestation if the container image has passed all tests. Configure Binary Authorization to allow only images with appropriate attestation to be deployed to the Cloud Run service.
- C. Deploy a new revision to a Cloud Run service. Assign a tag that allows access to the revision at a specific URL without serving traffic. Test that revision again. Migrate the traffic to the Cloud Run service after you confirm that the new revision is performing as expected.
- D. Create a GKE cluster. Verify that all tests have passed, and then deploy the image to the GKE cluster.
Answer: B
Explanation:
https://cloud.google.com/run/docs/securing/binary-authorization
NEW QUESTION # 249
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?
- A. Vertical Pod Autoscaler in Auto mode
- B. Vertical Pod Autoscaler in Recommendation mode
- C. Horizontal Pod Autoscaler based on an external metric
- D. Horizontal Pod Autoscaler based on resources utilization
Answer: C
Explanation:
https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics#pubsub
NEW QUESTION # 250
You deployed a new application to Google Kubernetes Engine and are experiencing some performance degradation. Your logs are being written to Cloud Logging, and you are using a Prometheus sidecar model for capturing metrics. You need to correlate the metrics and data from the logs to troubleshoot the performance issue and send real-time alerts while minimizing costs. What should you do?
- A. Export the Cloud Logging logs and stream the Prometheus metrics to BigQuery. Run a recurring query to join the results, and send notifications using Cloud Tasks.
- B. Export the Cloud Logging logs and the Prometheus metrics to Cloud Bigtable. Run a query to join the results, and analyze in Google Data Studio.
- C. Export the Prometheus metrics and use Cloud Monitoring to view them as external metrics. Configure Cloud Monitoring to create log-based metrics from the logs, and correlate them with the Prometheus data.
- D. Create custom metrics from the Cloud Logging logs, and use Prometheus to import the results using the Cloud Monitoring REST API.
Answer: C
NEW QUESTION # 251
You are a developer working on an internal application for payroll processing. You are building a component of the application that allows an employee to submit a timesheet, which then initiates several steps:
- An email is sent to the employee and manager, notifying them that the timesheet was submitted.
- A timesheet is sent to payroll processing for the vendor's API.
- A timesheet is sent to the data warehouse for headcount planning.
These steps are not dependent on each other and can be completed in any order. New steps are being considered and will be implemented by different development teams. Each development team will implement the error handling specific to their step. What should you do?
- A. Create a timesheet microservice deployed to Google Kubernetes Engine. The microservice calls each downstream step and waits for a successful response before calling the next step.
- B. Deploy a Cloud Function for each step that calls the corresponding downstream system to complete the required action.
- C. Create a Pub/Sub topic for each step. Create a subscription for each downstream development team to subscribe to their step's topic.
- D. Create a Pub/Sub topic for timesheet submissions. Create a subscription for each downstream development team to subscribe to the topic.
Answer: D
Explanation:
Pub/Sub is a messaging service that allows you to decouple microservices and other applications. It is a good choice for this use case because it is scalable, reliable, and easy to use.
NEW QUESTION # 252
Case Study 1 - HipLocal
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 .net-based auth service fails under intermittent load.
What should they do?
- A. Use a Compute Engine cluster for the service.
- B. Use a dedicated Compute Engine virtual machine instance for the service.
- C. Use App Engine for autoscaling.
- D. Use Cloud Functions for autoscaling.
Answer: C
Explanation:
https://cloud.google.com/appengine/docs/flexible/dotnet/how-instances-are-managed Automatic scaling creates instances based on request rate, response latencies, and other application metrics. You can specify thresholds for each of these metrics, as well as a minimum number instances to keep running at all times.
NEW QUESTION # 253
......
Google Professional-Cloud-Developer exam is designed to test the skills and knowledge of cloud developers who work with Google Cloud Platform. It is a certification offered by Google to individuals who demonstrate their ability to design, develop, and deploy cloud-based solutions using Google technologies. Professional-Cloud-Developer exam is intended for developers who have at least three years of industry experience and are proficient in one or more programming languages.
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