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Title: New Google Professional-Cloud-DevOps-Engineer Exam Objectives, Certification Pro [Print This Page]
Author: samyoun889    Time: yesterday 22:04
Title: New Google Professional-Cloud-DevOps-Engineer Exam Objectives, Certification Pro
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The Google Professional-Cloud-DevOps-Engineer exam consists of multiple-choice and multiple-select questions, and it is conducted in a timed environment. The duration of the exam is two hours, and candidates are required to score a minimum of 70% to pass the exam. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is valid for two years, and candidates are required to recertify after the expiration of the certification.
Google Professional-Cloud-DevOps-Engineer is a prestigious certification designed for IT professionals who are interested in pursuing a career in cloud-based DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for experienced IT professionals who have an in-depth understanding of DevOps practices and principles and who are skilled in implementing and managing cloud-based solutions. Google Professional-Cloud-DevOps-Engineer Certification is designed to validate the skills required to design, develop, and manage DevOps pipelines that leverage Google Cloud technologies.
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q43-Q48):NEW QUESTION # 43
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?
Answer: D

NEW QUESTION # 44
You recently created a Cloud Build pipeline for deploying Terraform code stored in a GitHub repository. You make Terraform code changes in short-lived branches and sometimes use tags during development. You tag releases with a semantic version when they are ready for deployment. You require your pipeline to apply the Terraform code whenever there is a new release, and you need to minimize operational overhead. What should you do?
Answer: B
Explanation:
To deploy only on new release tags, which follow a semantic versioning pattern (e.g., v1.2.3), you should use a tag filter with a regular expression matching semantic versions.
From the official documentation:
"You can configure Cloud Build to start a build automatically whenever there is a new tag in your source repository by using tag triggers."
- Cloud Build Triggers
Using a tag pattern like d+.d+.d* ensures that builds only trigger on properly versioned release tags (minimizing unnecessary executions). This matches standard semver tags such as 1.0.0, 2.1.3, etc.

NEW QUESTION # 45
You support a user-facing web application. When analyzing the application's error budget over the previous six months, you notice that the application has never consumed more than 5% of its error budget in any given time window. You hold a Service Level Objective (SLO) review with business stakeholders and confirm that the SLO is set appropriately. You want your application's SLO to more closely reflect its observed reliability.
What steps can you take to further that goal while balancing velocity, reliability, and business needs? (Choose two.)
Answer: A,E
Explanation:
https://sre.google/sre-book/service-level-objectives/
You want the application's SLO to more closely reflect it's observed reliability. The key here is error budget never goes over 5%. This means they can have additional downtime and still stay within their budget.

NEW QUESTION # 46
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?
Answer: A
Explanation:
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.

NEW QUESTION # 47
You are deploying an application to Cloud Run. The application requires a password to start. Your organization requires that all passwords are rotated every 24 hours, and your application must have the latest password. You need to deploy the application with no downtime. What should you do?
Answer: D
Explanation:
The correct answer is B. Store the password in Secret Manager and mount the secret as a volume within the application.
Secret Manager is a service that allows you to securely store and manage sensitive data such as passwords, API keys, certificates, and tokens.You can use Secret Manager to rotate your secrets automatically or manually, and access them from your Cloud Run applications1.
There are two ways to use secrets from Secret Manager in Cloud Run:
As environment variables: You can set environment variables that point to secrets in Secret Manager. Cloud Run will resolve the secrets at runtime and inject them into the environment of your application. However, this method has some limitations, such as:
The environment variables are cached for up to 10 minutes, so you may not get the latest version of the secret immediately.
The environment variables are visible in plain text in the Cloud Console and the Cloud SDK, which may expose sensitive information.
The environment variables are limited to 4 KB of data, which may not be enough for some secrets.2 As file system volumes: You can mount secrets from Secret Manager as files in a volume within your application. Cloud Run will create a tmpfs volume and write the secrets as files in it. This method has some advantages, such as:
The files are updated every 30 seconds, so you can get the latest version of the secret faster.
The files are not visible in the Cloud Console or the Cloud SDK, which provides better security.
The files can store up to 64 KB of data, which allows for larger secrets.3 Therefore, for your use case, it is better to use the second method and mount the secret as a file system volume within your application. This way, you can ensure that your application has the latest password, and you can deploy it with no downtime.
To mount a secret as a file system volume in Cloud Run, you can use the following command:
gcloud beta run deploy SERVICE --image IMAGE_URL --update-secrets=/path/to/file=secretName:version where:
SERVICE is the name of your Cloud Run service.
IMAGE_URL is the URL of your container image.
/path/to/file is the path where you want to mount the secret file in your application.
secretName is the name of your secret in Secret Manager.
version is the version of your secret.You can uselatestto get the most recent version.3 You can also use the Cloud Console to mount secrets as file system volumes. For more details, seeMounting secrets from Secret Manager.
References:
1:Overview | Secret Manager Documentation | Google Cloud
2:Using secrets as environment variables | Cloud Run Documentation | Google Cloud
3:Mounting secrets from Secret Manager | Cloud Run Documentation | Google Cloud

NEW QUESTION # 48
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