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The Google Professional-Cloud-DevOps-Engineer Exam is designed to evaluate the candidate's ability to design and implement DevOps processes and practices using the Google Cloud Platform. This includes skills such as developing and managing continuous integration and delivery pipelines, configuring monitoring and alerting strategies, implementing automated testing frameworks, and managing infrastructure as code.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q107-Q112):

NEW QUESTION # 107
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

A. Create new synthetic clients to simulate a user journey using the application.
B. Review current application metrics and add new ones as needed.
C. Modify the code to capture additional information for user interaction.
D. Use current and historic Request Logs to trace customer interaction with the application.
E. Analyze the web proxy logs only and capture response time of each request.

Answer: D,E

Explanation:
https://cloud.google.com/architecture/adopting-slos?hl=en

NEW QUESTION # 108
You are managing an application that runs in Compute Engine The application uses a custom HTTP server to expose an API that is accessed by other applications through an internal TCP/UDP load balancer A firewall rule allows access to the API port from 0.0.0-0/0. You need to configure Cloud Logging to log each IP address that accesses the API by using the fewest number of steps What should you do Bret?

A. Enable logging on the firewall rule
B. Enable VPC Flow Logs on the subnet
C. Enable Packet Mirroring on the VPC
D. Install the Ops Agent on the Compute Engine instances.

Answer: A

Explanation:
Explanation
The best option for configuring Cloud Logging to log each IP address that accesses the API by using the fewest number of steps is to enable logging on the firewall rule. A firewall rule is a rule that controls the traffic to and from your Compute Engine instances. You can enable logging on a firewall rule to capture information about the traffic that matches the rule, such as source and destination IP addresses, protocols, ports, and actions. You can use Cloud Logging to view and export the firewall logs to other destinations, such as BigQuery, for further analysis.

NEW QUESTION # 109
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
B. Use Cloud Build to trigger a Spinnaker pipeline.
C. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Answer: A

NEW QUESTION # 110
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. 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
B. 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
C. Save the API key in Secret Manager as a secret Reference the secret as an environment variable in the Cloud Run application
D. 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

Answer: C

Explanation:
The best option for storing and using the API key in your application by following Google-recommended practices is to save the API key in Secret Manager as a secret and reference the secret as an environment variable in the Cloud Run application. Secret Manager is a service that allows you to store and manage sensitive data, such as API keys, passwords, and certificates, in Google Cloud. A secret is a resource that represents a logical secret, such as an API key. You can save the API key in Secret Manager as a secret and use IAM policies to control who can access it. You can also reference the secret as an environment variable in the Cloud Run application by using the ${SECRET_NAME} syntax. This way, you can securely store and use the API key in your application without exposing it in your code or configuration files.

NEW QUESTION # 111
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?

A. Establish a communication channel where incident responders and leads can communicate with each other.
B. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.
C. Contact the affected service owners and update them on the status of the incident.
D. Look for ways to mitigate user impact and deploy the mitigations to production.

Answer: A

NEW QUESTION # 112
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