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Google Professional-Cloud-Developer certification exam is a highly sought-after certification in the field of cloud computing. It is one of the most prestigious certifications offered by Google and is designed to test an individual’s proficiency in developing applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification exam is intended for developers who have a strong understanding of cloud computing concepts, software development, and the Google Cloud Platform.
To become a Google Certified Professional - Cloud Developer, candidates must possess a thorough understanding of cloud computing concepts, such as distributed systems, service-oriented architecture, and containerization. Professional-Cloud-Developer exam covers a wide range of topics, including GCP services such as App Engine, Compute Engine, Cloud Storage, Cloud SQL, and Cloud Pub/Sub, as well as developing cloud-native solutions using GCP tools and technologies such as Kubernetes, Cloud Functions, and Cloud Run. Google Certified Professional - Cloud Developer certification is suitable for developers who want to validate their skills in developing cloud-native applications on GCP and demonstrate their expertise in cloud computing to potential employers.
Google Professional-Cloud-Developer exam consists of 50 multiple-choice and multiple-select questions that must be completed within two hours. Professional-Cloud-Developer exam covers various topics related to the development of cloud-based applications, including application deployment, security, and scalability. Professional-Cloud-Developer exam is designed to test the candidate's ability to develop and implement cloud-based solutions on the Google Cloud Platform.
NEW QUESTION # 96
You configured your Compute Engine instance group to scale automatically according to overall CPU usage. However, your application's response latency increases sharply before the cluster has finished adding up instances. You want to provide a more consistent latency experience for your end users by changing the configuration ot the instance group autoscaler. Which two configuration changes should you make? (Choose two.)
- A. Decrease the cool-down period for instances added to the group.
- B. Add the label "AUTOSCALE" to the instance group template.
- C. Increase the target CPU usage for the instance group autoscaler.
- D. Decrease the target CPU usage for the instance group autoscaler.
- E. Remove the health-check for individual VMs in the instance group.
Answer: B,C
NEW QUESTION # 97
You are developing a new public-facing application that needs to retrieve specific properties in the metadata of users' objects in their respective Cloud Storage buckets. Due to privacy and data residency requirements, you must retrieve only the metadata and not the object data. You want to maximize the performance of the retrieval process. How should you retrieve the metadata?
- A. Use the fields request parameter.
- B. Use the copy method.
- C. Use the patch method.
- D. Use the compose method.
Answer: A
Explanation:
Explanation
https://cloud.google.com/storage/docs/json_api/v1/objects/get
NEW QUESTION # 98
You are writing a Compute Engine hosted application in project A that needs to securely authenticate to a Cloud Pub/Sub topic in project B.
What should you do?
- A. Configure the instances with a service account owned by project A. Add the service account as a publisher on the topic.
- B. Configure Application Default Credentials to use the private key of a service account owned by project B. Add the service account as a Cloud Pub/Sub publisher to project A.
- C. Configure the instances with a service account owned by project B. Add the service account as a Cloud Pub/Sub publisher to project A.
- D. Configure Application Default Credentials to use the private key of a service account owned by project A. Add the service account as a publisher on the topic
Answer: A
Explanation:
Explanation
https://cloud.google.com/pubsub/docs/access-control
"For example, suppose a service account in Cloud Project A wants to publish messages to a topic in Cloud Project B.
You could accomplish this by granting the service account Edit permission in Cloud Project B"
NEW QUESTION # 99
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?
- A. Create a new Filestore instance, and mount the volume as an NFS PersistentVolume.
- B. Create a new ConfigMap and volumeMount to store the contents of the configuration file.
- C. Create a new persistent disk, and mount the volume as a shared PersistentVolume.
- D. Create a new Cloud Storage bucket, and mount it via FUSE in the container.
Answer: B
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/configmap
ConfigMaps bind non-sensitive configuration artifacts such as configuration files, command-line arguments, and environment variables to your Pod containers and system components at runtime.
A ConfigMap separates your configurations from your Pod and components, which helps keep your workloads portable. This makes their configurations easier to change and manage, and prevents hardcoding configuration data to Pod specifications.
NEW QUESTION # 100
You plan to make a simple HTML application available on the internet. This site keeps information about FAQs for your application. The application is static and contains images, HTML, CSS, and Javascript. You want to make this application available on the internet with as few steps as possible.
What should you do?
- A. Upload your application to an App Engine environment.
- B. Upload your application to Cloud Storage.
- C. Containerize your application first. Deploy this container to Google Kubernetes Engine (GKE) and assign an external IP address to the GKE pod hosting the application.
- D. Create a Compute Engine instance with Apache web server installed. Configure Apache web server to host the application.
Answer: B
Explanation:
https://cloud.google.com/storage/docs/hosting-static-website
NEW QUESTION # 101
Your App Engine standard configuration is as follows:
service: production
instance_class: B1
You want to limit the application to 5 instances. Which code snippet should you include in your configuration?
manual_scaling:
- A. instances: 5
min_pending_latency: 30ms
basic_scaling: - B. max_instances: 5
idle_timeout: 10m - C. max_instances: 5
idle_timeout: 10m
basic_scaling: - D. instances: 5
min_pending_latency: 30ms
manual_scaling:
Answer: A
NEW QUESTION # 102
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. Replace the MySQL instance with Cloud SQL.
- C. Use local SSDs to store state.
- D. Put a memcache layer in front of MySQL.
Answer: D
NEW QUESTION # 103
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 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.
- B. 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.
- C. 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.
- D. 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.
Answer: D
NEW QUESTION # 104
You are creating an App Engine application that writes a file to any user's Google Drive.
How should the application authenticate to the Google Drive API?
- A. With the App Engine service account and https://www.googleapis.com/auth/drive.filescope that generates a signed JWT.
- B. With an OAuth Client ID that uses the https://www.googleapis.com/auth/drive.filescope to obtain an access token for each user.
- C. With the App Engine service account with delegated domain-wide authority.
- D. With an OAuth Client ID with delegated domain-wide authority.
Answer: D
Explanation:
Explanation/Reference: https://developers.google.com/drive/api/v3/about-auth
NEW QUESTION # 105
You need to deploy an internet-facing microservices application to Google Kubernetes Engine (GKE). You want to validate new features using the A/B testing method. You have the following requirements for deploying new container image releases
* There is no downtime when new container images are deployed.
* New production releases are tested and verified using a subset of production users.
What should you do?
- A. 1 install the Anthos Service Mesh on your GKE cluster.
2 Create two Deployments on the GKE cluster and label them with different version names.
3 Create a VirtualService with a routing rule to send a small percentage of traffic to the Deployment that references the new version of the application. - B. 1 Configure your Cl/CD pipeline to update the Deployment manifest file by replacing the container version with the latest version.
2 Recreate the Pods in your cluster by applying the Deployment manifest file.
3 Validate the application's performance by comparing its functionality with the previous release version and roll back if an issue arises. - C. 1 Create a second namespace on GKE for the new release version.
2 Create a Deployment configuration for the second namespace with the desired number of Pods.
3 Deploy new container versions in the second namespace.
4 Update the ingress configuration to route traffic to the namespace with the new container versions. - D. 1. Implement a rolling update pattern by replacing the Pods gradually with the new release versify.
2 Validate the application's performance for the new subset of users during the rollout and roll back if an issue arises.
Answer: C
NEW QUESTION # 106
Your development team has been asked to refactor an existing monolithic application into a set of composable microservices. Which design aspects should you implement for the new application? (Choose two.)
- A. Develop the microservice code in the same programming language used by the microservice caller.
- B. Create an API contract agreement between the microservice implementation and microservice caller.
- C. Implement a versioning scheme to permit future changes that could be incompatible with the current interface.
- D. Require asynchronous communications between all microservice implementations and microservice callers.
- E. Ensure that sufficient instances of the microservice are running to accommodate the performance requirements.
Answer: B,C
NEW QUESTION # 107
You are developing a JPEG image-resizing API hosted on Google Kubernetes Engine (GKE). Callers of the service will exist within the same GKE cluster. You want clients to be able to get the IP address of the service.
What should you do?
- A. Define a GKE Service. Clients should use the name of the A record in Cloud DNS to find the service's cluster IP address.
- B. Define a GKE Service. Clients should use the service name in the URL to connect to the service.
- C. Define a GKE Endpoint. Clients should get the endpoint name from the appropriate environment variable in the client container.
- D. Define a GKE Endpoint. Clients should get the endpoint name from Cloud DNS.
Answer: C
Explanation:
Explanation
NEW QUESTION # 108
Your application in production has recently been experiencing reliability issues, and you are unsure how the application will behave in the event of an unexpected failure. You want to assess the application's resilience. What should you do?
- A. Test individual units of code for a critical portion of the application's code. Ensure that unit tests are part of the Cloud Build pipeline.
- B. Perform chaos engineering by intentionally introducing failures into the system. Observe how the application behaves, and ensure that it is able to recover from a failure.
- C. Write end-to-end tests to determine how different microservices interact. Validate that all tests pass.
- D. Perform load testing of the application, and use JMeter for the critical endpoints of the application.Ensure that the application performs as expected under a heavy load.
Answer: B
Explanation:
Chaos engineering is the practice of intentionally introducing failures into a system to test its resilience and observe how it behaves under unexpected conditions. This approach allows you to uncover potential weaknesses and ensure that the application can recover from failures. By testing with chaos engineering, you gain insights into how the system behaves in production-like failure scenarios, which is essential for assessing and improving resilience.
Other options, like end-to-end testing, unit testing, and load testing, are useful for verifying functionality and performance but do not directly assess how the application behaves during unexpected failures.
NEW QUESTION # 109
You recently migrated an on-premises monolithic application to a microservices application on Google Kubernetes Engine (GKE). The application has dependencies on backend services on-premises, including a CRM system and a MySQL database that contains personally identifiable information (PII). The backend services must remain on-premises to meet regulatory requirements.
You established a Cloud VPN connection between your on-premises data center and Google Cloud. You notice that some requests from your microservices application on GKE to the backend services are failing due to latency issues caused by fluctuating bandwidth, which is causing the application to crash. How should you address the latency issues?
- A. Increase the number of Cloud VPN tunnels for the connection between Google Cloud and the on-premises services
- B. Decrease the network layer packet size by decreasing the Maximum Transmission Unit (MTU) value from its default value on Cloud VPN
- C. Use Memorystore to cache frequently accessed PII data from the on-premises MySQL database
- D. Use Istio to create a service mesh that includes the microservices on GKE and the on-premises services
Answer: A
Explanation:
Explanation
https://cloud.google.com/network-connectivity/docs/vpn/concepts/choosing-networks-routing#route-alignment
NEW QUESTION # 110
You are reviewing and updating your Cloud Build steps to adhere to best practices. Currently, your build steps include:
1. Pull the source code from a source repository.
2. Build a container image
3. Upload the built image to Artifact Registry.
You need to add a step to perform a vulnerability scan of the built container image, and you want the results of the scan to be available to your deployment pipeline running in Google Cloud. You want to minimize changes that could disrupt other teams' processes. What should you do?
- A. Enable Binary Authorization, and configure it to attest that no vulnerabilities exist in a container image.
- B. Add Artifact Registry to your Aqua Security instance, and scan the built container images for vulnerabilities.
- C. Upload the built container images to your Docker Hub instance, and scan them for vulnerabilities.
- D. Enable the Container Scanning API in Artifact Registry, and scan the built container images for vulnerabilities.
Answer: D
Explanation:
https://cloud.google.com/container-analysis/docs/automated-scanning-
howto#view_the_image_vulnerabilities
NEW QUESTION # 111
You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users. Your application must meet the following requirements:
* Scales automatically during popular events and maintains high availability
* Is resilient in the event of hardware failures
How should you configure the deployment parameters? (Choose two.)
- A. Distribute your workload evenly using a multi-zonal node pool.
- B. Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.
- C. Distribute your workload evenly using multiple zonal node pools.
- D. Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.
- E. Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.
Answer: A,B
NEW QUESTION # 112
In order to meet their business requirements, how should HipLocal store their application state?
- A. Move the state storage to Cloud Spanner.
- B. Replace the MySQL instance with Cloud SQL.
- C. Use local SSDs to store state.
- D. Put a memcache layer in front of MySQL.
Answer: D
NEW QUESTION # 113
For this question, refer to the HipLocal case study.
HipLocal is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?
- A. Migrate data to Firestore in Native mode and set up instan
- B. Move from Cloud SQL to MySQL hosted on Compute Engine. Replicate hosts across regions in the Americas and Europe. Provide developers with local MySQL instances to conduct testing on the application changes.
- C. Create new Cloud SQL instances in Europe and North America for testing and deployment. Provide developers with local MySQL instances to conduct testing on the application changes.
- D. Migrate data to Bigtable. Instruct the development teams to use the Cloud SDK to emulate a local Bigtable development environment.
Answer: D
NEW QUESTION # 114
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