Unveil details about the GCP-PCDE exam topics and questions. Become familiar with the proven practice tests, study guide materials, and sample questions. It will help to make your Google Cloud Platform – Professional Cloud DevOps Engineer (GCP-PCDE) certification journey easy.
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Google GCP-PCDE Exam Summary:-
- Name of the Exam: Google Professional Cloud DevOps Engineer (GCP-PCDE)
- Exam Code: GCP-PCDE
- Exam Price: $200 USD
- Duration: 120 minutes
- Number of Questions: 50
- Passing Score: Pass / Fail (Approx 70%)
Google GCP-PCDE Exam Topics:-
- Applying site reliability engineering principles to a service
- Building and implementing CI/CD pipelines for a service
- Implementing service monitoring strategies
- Optimizing service performance
- Managing service incidents
Improve Your Knowledge-Base:
Get access to some of the sample GCP-PCDE practice test questions to boost your knowledge base. Preparation is a steady process for some time, and you must always try to keep improving via learning. Access the questions from anywhere and from any device. The easy access to the questions would help you to get better with the GCP-PCDE exam topics. You can solve these questions easily or learn new things from them.
Here Are Some Useful Questions:
01. You are deploying an application to a Kubernetes cluster that requires a username and password to connect to another service.
When you deploy the application, you want to ensure that the credentials are used securely in multiple environments with minimal code changes.
What should you do?
a) Bundle the credentials with the code inside the container and secure the container registry.
b) Leverage a CI/CD pipeline to update the variables at build time and inject them into a templated Kubernetes application manifest.
c) Store the credentials as a Kubernetes Secret and let the application access it via environment variables at runtime.
d) Store the credentials as a Kubernetes ConfigMap and let the application access it via environment variables at runtime.
Answer: c
02. You are running a production application on Compute Engine. You want to monitor the key metrics of CPU, Memory, and Disk I/O time.
You want to ensure that the metrics are visible by the team and will be explorable if an issue occurs. What should you do?
(Choose 2)
a) Set up logs-based metrics based on your application logs to identify errors.
b) Export key metrics to a Google Cloud Function and then analyze them for outliers.
c) Set up alerts in Cloud Monitoring for key metrics breaching defined thresholds.
d) Create a Dashboard with key metrics and indicators that can be viewed by the team.
e) Export key metrics to BigQuery and then run hourly queries on the metrics to identify outliers.
Answer: c, d
03. You have an application deployed on Google Kubernetes Engine (GKE). The application logs are captured by Cloud Logging. You need to remove sensitive data before it reaches the Cloud Logging API.
What should you do?
a) Customize the GKE clusters’ Fluentd configuration with a filter rule. Update the Fluentd Config Map and Daemon Set in the GKE cluster.
b) Write the log information to the container file system. Execute a second process inside the container that will filter the sensitive information before writing to Standard Output.
c) Configure a filter in the Cloud Logging UI to exclude the logs with sensitive data.
d) Configure BigQuery as a sink for the logs from Cloud Logging, and then create a Data Loss Prevention job.
Answer: a
04. You work with a video rendering application that publishes small tasks as messages to a Cloud Pub/Sub topic. You need to deploy the application that will execute these tasks on multiple virtual machines (VMs).
Each task takes less than 1 hour to complete. The rendering is expected to be completed within a month. You need to minimize rendering costs.
What should you do?
a) Deploy the application as a managed instance group with Preemptible VMs.
b) Deploy the application as a managed instance group. Configure a Committed Use Discount for the amount of CPU and memory required.
c) Deploy the application as a managed instance group.
d) Deploy the application as a managed instance group with Preemptible VMs. Configure a Committed Use Discount for the amount of CPU and memory required.
Answer: a
05. Your application runs in Google Kubernetes Engine (GKE). You want to use Spinnaker with the Kubernetes Provider to perform blue/green deployments and control which version of the application receives traffic. What should you do?
a) Use a Kubernetes Replica Set and use Spinnaker to create a new service for each new version of the application to be deployed.
b) Use a Kubernetes Replica Set and use Spinnaker to update the Replica Set for each new version of the application to be deployed.
c) Use a Kubernetes Deployment and use Spinnaker to update the deployment for each new version of the application to be deployed.
d) Use a Kubernetes Deployment and use Spinnaker to create a new deployment object for each new version of the application to be deployed.
Answer: b
Self-Assessment with GCP-PCDE Practice Test:
You can check preparation before the final exam by trying the Google GCP-PCDE practice test. The tests are handy in web-based and desktop versions. You can track your progress, with our customizable mock exams. The tests help to identify the weaker areas of preparation. They also help remove mistakes before the actual GCP-PCDE Google Professional Cloud DevOps Engineer exam. These exam simulation tests help you get rid of anxiety about the actual exam by offering a real exam-like scenario.
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