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Earning the Google Professional-Cloud-DevOps-Engineer Certification demonstrates to employers and clients that a professional has the skills and knowledge to design, implement, and manage DevOps practices and processes on the Google Cloud Platform. It can lead to career advancement opportunities and higher salaries. Additionally, it can help organizations that use Google Cloud Platform to identify and hire qualified professionals to manage their DevOps practices.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q96-Q101):

NEW QUESTION # 96
You are creating Cloud Logging sinks to export log entries from Cloud Logging to BigQuery for future analysis Your organization has a Google Cloud folder named Dev that contains development projects and a folder named Prod that contains production projects Log entries for development projects must be exported to dev_dataset. and log entries for production projects must be exported to prod_datasetYou need to minimize the number of log sinks created and you want to ensure that the log sinks apply to future projects What should you do?

A. Create a log sink in each project
B. Create a single aggregated log sink at the organization level.
C. Create two aggregated log sinks at the organization level, and filter by project ID
D. Create an aggregated Iog sink in the Dev and Prod folders

Answer: B

NEW QUESTION # 97
You are the Site Reliability Engineer responsible for managing your company's data services and products.
You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

A. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.
B. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.
C. Review the design of the product with the product development team to provide feedback early in the design phase.
D. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performance metrics with the product development team.

Answer: C

Explanation:
Explanation
The correct answer is D. Review the design of the product with the product development team to provide feedback early in the design phase.
According to the Google Cloud DevOps best practices, a Site Reliability Engineer (SRE) should collaborate with the product development team from the beginning of the product lifecycle, not just after the product is deployed or tested. This way, the SRE can provide operational input on the product design, such as scalability, reliability, security, and cost efficiency. The SRE can also help define service level objectives (SLOs) and service level indicators (SLIs) for the product, as well as monitoring and alerting strategies. By collaborating early and often, the SRE and the product development team can ensure that the product meets the operational requirements and expectations of the customers.

NEW QUESTION # 98
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

A. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
B. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
C. Use Stackdriver Kubernetes Engine Monitoring.
D. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

Answer: C

Explanation:
Explanation
https://cloud.google.com/anthos/clusters/docs/on-prem/1.7/concepts/logging-and-monitoring

NEW QUESTION # 99
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. Install the Ops Agent on the Compute Engine instances.
C. Enable VPC Flow Logs on the subnet
D. Enable Packet Mirroring on the VPC

Answer: C

NEW QUESTION # 100
You are running a web application that connects to an AlloyDB cluster by using a private IP address in your default VPC. You need to run a database schema migration in your CI/CD pipeline by using Cloud Build before deploying a new version of your application. You want to follow Google-recommended security practices. What should you do?

A. Create a service account that has permission to access the database. Configure Cloud Build to use this service account and execute the schema migration script in a private pool.
B. Set up a Cloud Build private pool to access the database through a static external IP address. Configure the database to only allow connections from this IP address. Execute the schema migration script in the private pool.
C. Add the database username and encrypted password to the application configuration file. Use these credentials in Cloud Build to execute the schema migration script.
D. Add the database username and password to Secret Manager. When running the schema migration script, retrieve the username and password from Secret Manager.

Answer: A

NEW QUESTION # 101
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