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Google Professional-Cloud-DevOps-Engineer Certification Exam is a highly respected certification in the field of cloud computing. It is designed to validate the skills and knowledge of professionals who are responsible for building and managing cloud-based solutions using Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam requires a deep understanding of DevOps practices, as well as a comprehensive knowledge of Google Cloud Platform tools and services.

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Google Professional-Cloud-DevOps-Engineer is a certification exam that is designed to validate the skills and knowledge of professionals in cloud-based DevOps engineering. Professional-Cloud-DevOps-Engineer exam is designed for individuals who have experience in managing and deploying applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam focuses on assessing the candidate's ability to design, develop, and manage a robust cloud-based DevOps environment using GCP services and tools.

Google Cloud Certified - Professional Cloud DevOps Engineer is a certification exam that validates the skills of the candidates in the field of cloud computing and DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is designed for professionals who have a good understanding of DevOps practices and tools, and can implement them in the Google Cloud Platform (GCP) environment. Professional-Cloud-DevOps-Engineer Exam is intended to test the candidate's ability to design, develop, and manage a reliable, scalable, and secure cloud-based infrastructure.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q40-Q45):

NEW QUESTION # 40
You are configuring Cloud Logging for a new application that runs on a Compute Engine instance with a public IP address. A user-managed service account is attached to the instance. You confirmed that the necessary agents are running on the instance but you cannot see any log entries from the instance in Cloud Logging. You want to resolve the issue by following Google-recommended practices. What should you do?

A. Update the instance to use the default Compute Engine service account.
B. Enable Private Google Access on the subnet that the instance is in.
C. Add the Logs Writer role to the service account.
D. Export the service account key and configure the agents to use the key.

Answer: C

Explanation:
Explanation
The correct answer is A. Add the Logs Writer role to the service account.
To use Cloud Logging, the service account attached to the Compute Engine instance must have the necessary permissions to write log entries. The Logs Writer role (roles/logging.logWriter) provides this permission. You can grant this role to the user-managed service account at the project, folder, or organization level1.
Private Google Access is not required for Cloud Logging, as it allows instances without external IP addresses to access Google APIs and services2. The default Compute Engine service account already has the Logs Writer role, but it is not a recommended practice to use it for user applications3. Exporting the service account key and configuring the agents to use the key is not a secure way of authenticating the service account, as it exposes the key to potential compromise4.
References:
1: Access control with IAM | Cloud Logging | Google Cloud
2: Private Google Access overview | VPC | Google Cloud
3: Service accounts | Compute Engine Documentation | Google Cloud
4: Best practices for securing service accounts | IAM Documentation | Google Cloud

NEW QUESTION # 41
You are building an application that runs on Cloud Run The application needs to access a third-party API by using an API key You need to determine a secure way to store and use the API key in your application by following Google-recommended practices What should you do?

A. Save the API key in Secret Manager as a secret Reference the secret as an environment variable in the Cloud Run application
B. Save the API key in Cloud Key Management Service (Cloud KMS) as a key Reference the key as an environment variable in the Cloud Run application
C. Save the API key in Secret Manager as a secret key Mount the secret key under the /sys/api_key directory and decrypt the key in the Cloud Run application
D. Encrypt the API key by using Cloud Key Management Service (Cloud KMS) and pass the key to Cloud Run as an environment variable Decrypt and use the key in Cloud Run

Answer: A

NEW QUESTION # 42
You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE).
You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

A. Apply the latest tag to the previous container image, and do a rolling update on the deployment.
B. Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.
C. Alter the deployment to point to the sha2 56 digest of the previously working container.
D. Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.

Answer: C

NEW QUESTION # 43
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

A. Distribute the alerts to engineers in different time zones.
B. Create an incident report for each of the alerts.
C. Redefine the related Service Level Objective so that the error budget is not exhausted.
D. Eliminate unactionable alerts.

Answer: D

NEW QUESTION # 44
You are configuring the frontend tier of an application deployed in Google Cloud The frontend tier is hosted in ngmx and deployed using a managed instance group with an Envoy-based external HTTP(S) load balancer in front The application is deployed entirely within the europe-west2 region: and only serves users based in the United Kingdom. You need to choose the most cost-effective network tier and load balancing configuration What should you use?

A. Standard Tier with a global load balancer
B. Premium Tier with a global load balancer
C. Premium Tier with a regional load balancer
D. Standard Tier with a regional load balancer

Answer: C

Explanation:
The most cost-effective network tier and load balancing configuration for your frontend tier is to use Premium Tier with a regional load balancer. Premium Tier is a network tier that provides high-performance and low-latency network connectivity across Google's global network. A regional load balancer is a load balancer that distributes traffic within a single region. Since your application is deployed entirely within the europe-west2 region and only serves users based in the United Kingdom, you can use Premium Tier with a regional load balancer to optimize the network performance and cost.

NEW QUESTION # 45
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