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What is the duration, language, and format of Google Professional Cloud DevOps Engineer Exam

Passing score: 80%
Number of Questions: 50-60
Format: Multiple choices, multiple select
Length of Examination: 120 minutes
Language: English

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The Google Professional-Cloud-DevOps-Engineer Exam is designed to test a candidate's knowledge and skills across a range of topics, including cloud architecture, application development, automation, compliance, and security. Professional-Cloud-DevOps-Engineer exam also covers best practices for managing and monitoring cloud-based DevOps processes, as well as strategies for implementing continuous integration and delivery. Candidates who pass the exam will be able to demonstrate their ability to design and manage complex cloud-based DevOps environments.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q185-Q190):

NEW QUESTION # 185
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. Contact the affected service owners and update them on the status of the incident.
C. Look for ways to mitigate user impact and deploy the mitigations to production.
D. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

Answer: C

Explanation:
Explanation
https://sre.google/sre-book/managing-incidents/

NEW QUESTION # 186
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

A. Configure the VPC as a Shared VPC Host project.
B. Configure your Kubernetes duster as a Private Cluster.
C. Configure your network services on the Standard Tier.
D. Configure a Google Cloud HTTP Load Balancer as Ingress.

Answer: D

Explanation:
Costs associated with a load balancer are charged to the project containing the load balancer components. Because of these benefits, container-native load balancing is the recommended solution for load balancing through Ingress. When NEGs are used with GKE Ingress, the Ingress controller facilitates the creation of all aspects of the L7 load balancer. This includes creating the virtual IP address, forwarding rules, health checks, firewall rules, and more. https://cloud.google.com/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke

NEW QUESTION # 187
You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application's functionality - a data intensive reporting feature - is consistently failing with an HTTP 500 error. When you investigate your application's dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend's persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

A. As the proportion of report generation requests that result in a successful response
B. As the application's report generation queue size compared to a known-good threshold
C. As the reporting backend PD throughout capacity compared to a known-good threshold
D. As the I/O wait times aggregated across all report generation backends

Answer: A

Explanation:
Explanation
According to SRE Workbook, one of potential SLI is as below:
* Type of service: Request-driven
* Type of SLI: Availability
* Description: The proportion of requests that resulted in a successful response.
https://sre.google/workbook/implementing-slos/

NEW QUESTION # 188
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

A. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
B. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
C. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
D. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io
/altostrat-images.

Answer: A

NEW QUESTION # 189
Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts:
and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

A. Configure workload metrics within Cloud Operations for GKE
B. Configure Prometheus cross-service federation for centralized data access
C. Configure Prometheus hierarchical federation for centralized data access
D. Configure Google Cloud Managed Service for Prometheus

Answer: D

Explanation:
Explanation
The best option for implementing a scalable solution to support global Prometheus querying and minimize management overhead is to use Google Cloud Managed Service for Prometheus. Google Cloud Managed Service for Prometheus is a fully managed service that allows you to collect, query, and visualize metrics from your GKE clusters using Prometheus-based tooling. You can use Google Cloud Managed Service for Prometheus to query metrics across multiple clusters and regions using a global view. You can also use Google Cloud Managed Service for Prometheus to integrate with other Google Cloud services, such as Cloud Monitoring, Cloud Logging, and BigQuery. By using Google Cloud Managed Service for Prometheus, you can avoid managing and scaling your own Prometheus servers and focus on your application performance.

NEW QUESTION # 190
......

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