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Google Professional-Cloud-Developer Exam is a certification that validates a developer's expertise in building and deploying applications on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is ideal for software developers who want to demonstrate their proficiency in Google Cloud technologies, including App Engine, Compute Engine, Kubernetes Engine, and Cloud Functions. By passing the exam, developers can demonstrate their ability to design, develop, deploy, and manage scalable and reliable cloud applications on GCP.

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Earning the Google Professional-Cloud-Developer Certification can provide developers with a number of benefits. For example, it can help them demonstrate their proficiency in cloud technologies to potential employers, which can lead to better job opportunities and higher salaries. Additionally, the certification can help developers stay up-to-date with the latest cloud technologies and best practices, which can help them build more innovative and effective cloud applications.

Google Certified Professional - Cloud Developer Sample Questions (Q172-Q177):

NEW QUESTION # 172
You are deploying a Python application to Cloud Run using Cloud Source Repositories and Cloud Build. The Cloud Build pipeline is shown below:

You want to optimize deployment times and avoid unnecessary steps. What should you do?

A. Add the --cache-from argument to the Docker build step in your build config file.
B. Remove the step that pushes the container to Artifact Registry.
C. Deploy a new Docker registry in a VPC, and use Cloud Build worker pools inside the VPC to run the build pipeline.
D. Store image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance.

Answer: A

Explanation:
https://cloud.google.com/build/docs/optimize-builds/speeding-up-
builds#using_a_cached_docker_image

NEW QUESTION # 173
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. 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.
C. 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.
D. 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.

Answer: D

NEW QUESTION # 174
You recently deployed a Go application on Google Kubernetes Engine (GKE). The operations team has noticed that the application's CPU usage is high even when there is low production traffic. The operations team has asked you to optimize your application's CPU resource consumption. You want to determine which Go functions consume the largest amount of CPU. What should you do?

A. Deploy a Fluent Bit daemonset on the GKE cluster to log data in Cloud Logging. Analyze the logs to get insights into your application code's performance.
B. Create a custom dashboard in Cloud Monitoring to evaluate the CPU performance metrics of your application.
C. Modify your Go application to capture profiling data. Analyze the CPU metrics of your application in flame graphs in Profiler.
D. Connect to your GKE nodes using SSH. Run the top command on the shell to extract the CPU utilization of your application.

Answer: C

Explanation:
Explanation
https://cloud.google.com/profiler/docs/about-profiler
Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications. It attributes that information to the source code that generated it, helping you identify the parts of your application that are consuming the most resources, and otherwise illuminating your applications performance characteristics.
https://cloud.google.com/profiler/docs

NEW QUESTION # 175
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 a custom role that contains the pubsub.topics.create and pubsub.subscriptions.create permissions.
B. Grant the user identity the pubsub.publisher and pubsub.subscriber roles at the project level.
C. Bind the user identity to the pubsub.publisher and pubsub.subscriber roles at the resource level.
D. Configure the application to run as a service account that has the pubsub.publisher and pubsub.subscriber roles.

Answer: A

NEW QUESTION # 176
You are developing an application that will be launched on Compute Engine instances into multiple distinct projects, each corresponding to the environments in your software development process (development, QA, staging, and production). The instances in each project have the same application code but a different configuration. During deployment, each instance should receive the application's configuration based on the environment it serves. You want to minimize the number of steps to configure this flow.
What should you do?

A. During each instance launch, configure an instance custom-metadata key named "environment" whose value is the environment the instance serves. Use your deployment tool to query the instance metadata, and configure the application based on the "environment" value.
B. When creating your instances, configure a startup script using the gcloud command to determine the project name that indicates the correct environment.
C. Deploy your chosen deployment tool on an instance in each project. Use a deployment job to retrieve the appropriate configuration file from your version control system, and apply the configuration when deploying the application on each instance.
D. In each project, configure a metadata key "environment" whose value is the environment it serves. Use your deployment tool to query the instance metadata and configure the application based on the "environment" value.

Answer: D

NEW QUESTION # 177
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