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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q118-Q123):

NEW QUESTION # 118
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)

A. Your opinion of the incident's severity compared to past incidents
B. A list of action items to prevent a recurrence of the incident
C. Copies of the design documents for all the services impacted by the incident
D. A list of employees responsible for causing the incident
E. An explanation of the root cause of the incident

Answer: B,E

NEW QUESTION # 119
You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

A. Add a virtual queue to the online store that allows typical traffic levels
B. Increase the Pod CPU and memory limits
C. Increase the number of Pod replicas
D. Decrease the acknowledgment deadline on the subscription

Answer: C

NEW QUESTION # 120
You are implementing a CI'CD pipeline for your application in your company s multi-cloud environment Your application is deployed by using custom Compute Engine images and the equivalent in other cloud providers You need to implement a solution that will enable you to build and deploy the images to your current environment and is adaptable to future changes Which solution stack should you use'?

A. Cloud Build with Google Cloud Deploy
B. Cloud Build with kpt
C. Google Kubernetes Engine with Google Cloud Deploy
D. Cloud Build with Packer

Answer: A

NEW QUESTION # 121
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. Add the Logs Writer role to the service account.
C. Export the service account key and configure the agents to use the key.
D. Enable Private Google Access on the subnet that the instance is in.

Answer: B

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 # 122
As a Site Reliability Engineer, you support an application written in GO that runs on Google Kubernetes Engine (GKE) in production. After releasing a new version Of the application, you notice the application runs for about 15 minutes and then restarts. You decide to add Cloud Profiler to your application and now notice that the heap usage grows constantly until the application restarts. What should you do?

A. Add high memory compute nodes to the cluster.
B. Add Cloud Trace to the application, and redeploy.
C. Increase the CPU limit in the application deployment.
D. Increase the memory limit in the application deployment.

Answer: D

Explanation:
Explanation
The correct answer is B. Increase the memory limit in the application deployment.
The application is experiencing a memory leak, which means that it is allocating memory that is not freed or reused. This causes the heap usage to grow constantly until it reaches the memory limit of the pod, which triggers a restart by Kubernetes. Increasing the memory limit in the application deployment can help mitigate the problem by allowing the application to run longer before reaching the limit. However, this is not a permanent solution, as the memory leak will still occur and eventually exhaust the available memory. The best solution is to identify and fix the source of the memory leak in the application code, using tools like Cloud Profiler and pprof12.

NEW QUESTION # 123
......

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