PROFESSIONAL-CLOUD-DEVOPS-ENGINEER DETAILED STUDY PLAN, VALID PROFESSIONAL-CLOUD-DEVOPS-ENGINEER TEST BLUEPRINT

Professional-Cloud-DevOps-Engineer Detailed Study Plan, Valid Professional-Cloud-DevOps-Engineer Test Blueprint

Professional-Cloud-DevOps-Engineer Detailed Study Plan, Valid Professional-Cloud-DevOps-Engineer Test Blueprint

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
You support a user-facing web application When analyzing the application's error budget over the previous six months you notice that the application never consumed more than 5% of its error budget You hold a SLO review with business stakeholders and confirm that the SLO is set appropriately You want your application's reliability to more closely reflect its SLO What steps can you take to further that goal while balancing velocity, reliability, and business needs?
Choose 2 answers

  • A. Add more serving capacity to all of your application's zones
  • B. Implement and measure all other available SLIs for the application
  • C. Tighten the SLO to match the application's observed reliability
  • D. Have more frequent or potentially risky application releases
  • E. Announce planned downtime to consume more error budget and ensure that users are not depending on a tighter SLO

Answer: C,D

Explanation:
Explanation
The best options for furthering your application's reliability goal while balancing velocity, reliability, and business needs are to have more frequent or potentially risky application releases and to tighten the SLO to match the application's observed reliability. Having more frequent or potentially risky application releases can help you increase the change velocity and deliver new features faster. However, this also increases the likelihood of consuming more error budget and reducing the reliability of your service. Therefore, you should monitor your error budget consumption and adjust your release policies accordingly. For example, you can freeze or slow down releases when the error budget is low, or accelerate releases when the error budget is high. Tightening the SLO to match the application's observed reliability can help you align your service quality with your users' expectations and business needs. However, this also means that you have less room for error and need to maintain a higher level of reliability. Therefore, you should ensure that your SLO is realistic and achievable, and that you have sufficient engineering resources and processes to meet it.


NEW QUESTION # 121
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

  • A. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
  • B. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
  • C. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
  • D. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

Answer: C


NEW QUESTION # 122
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

  • A. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
  • B. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately
  • C. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
  • D. Enable VPC Flow Logs in both VPCs and monitor packet drops

Answer: A

Explanation:
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.


NEW QUESTION # 123
You are the Operations Lead for an ongoing incident with one of your services. The service usually runs at around 70% capacity. You notice that one node is returning 5xx errors for all requests. There has also been a noticeable increase in support cases from customers. You need to remove the offending node from the load balancer pool so that you can isolate and investigate the node. You want to follow Google-recommended practices to manage the incident and reduce the impact on users. What should you do?

  • A. 1. Communicate your intent to the incident team.2. Add a new node to the pool, and wait for the new node to report as healthy.3. When traffic is being served on the new node, drain traffic from the unhealthy node, and remove the old node from service.
  • B. 1 . Drain traffic from the unhealthy node and remove the node from service.2. Monitor traffic to ensure that the error is resolved and that the other nodes in the pool are handling the traffic appropriately.3. Scale the pool as necessary to handle the new load.4. Communicate your actions to the incident team.
  • C. 1 . Drain traffic from the unhealthy node and remove the old node from service.2. Add a new node to the pool, wait for the new node to report as healthy, and then serve traffic to the new node.3. Monitor traffic to ensure that the pool is healthy and is handling traffic appropriately.4. Communicate your actions to the incident team.
  • D. 1. Communicate your intent to the incident team.2. Perform a load analysis to determine if the remaining nodes can handle the increase in traffic offloaded from the removed node, and scale appropriately.3. When any new nodes report healthy, drain traffic from the unhealthy node, and remove the unhealthy node from service.

Answer: D


NEW QUESTION # 124
Your organization uses a change advisory board (CAB) to approve all changes to an existing service You want to revise this process to eliminate any negative impact on the software delivery performance What should you do?
Choose 2 answers

  • A. Batch changes into larger but less frequent software releases
  • B. Let developers merge their own changes but ensure that the team's deployment platform can roll back changes if any issues are discovered
  • C. Replace the CAB with a senior manager to ensure continuous oversight from development to deployment
  • D. Ensure that the team's development platform enables developers to get fast feedback on the impact of their changes
  • E. Move to a peer-review based process for individual changes that is enforced at code check-in time and supported by automated tests

Answer: D,E


NEW QUESTION # 125
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