Win IT Exam with Last Dumps 2025

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 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. C. 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. D. Review the design of the product with the product development team to provide feedback early in the design phase.

You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

A. Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag. B. Alter the deployment to point to the sha256 digest of the previously working container. C. Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container. D. Apply the latest tag to the previous container image, and do a rolling update on the deployment.

You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% of the time per calendar month. You need to identify the metric and evaluation method to use. What should you do?

A. Select a latency metric for a request-based method of evaluation. B. Select a latency metric for a window-based method of evaluation. C. Select an availability metric for a request-based method of evaluation. D. Select an availability metric for a window-based method of evaluation.

You have an application that runs on Cloud Run. You want to use live production traffic to test a new version of the application, while you let the quality assurance team perform manual testing. You want to limit the potential impact of any issues while testing the new version, and you must be able to roll back to a previous version of the application if needed. How should you deploy the new version? (Choose two.)

A. Deploy the application as a new Cloud Run service. B. Deploy a new Cloud Run revision with a tag and use the --no-traffic option. C. Deploy a new Cloud Run revision without a tag and use the --no-traffic option. D. Deploy the new application version and use the --no-traffic option. Route production traffic to the revision’s URL. E. Deploy the new application version, and split traffic to the new version.

You recently noticed that one of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices. What should you do?

A. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget B. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience. C. Escalate the situation and request additional error budget. D. Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.

You need to introduce postmortems into your organization. You want to ensure that the postmortem process is well received. What should you do? (Choose two.)

A. Encourage new employees to conduct postmortems to team through practice. B. Create a designated team that is responsible for conducting all postmortems. C. Encourage your senior leadership to acknowledge and participate in postmortems. D. Ensure that writing effective postmortems is a rewarded and celebrated practice. E. Provide your organization with a forum to critique previous postmortems.

You need to enforce several constraint templates across your Google Kubernetes Engine (GKE) clusters. The constraints include policy parameters, such as restricting the Kubernetes API. You must ensure that the policy parameters are stored in a GitHub repository and automatically applied when changes occur. What should you do?

A. Set up a GitHub action to trigger Cloud Build when there is a parameter change. In Cloud Build, run a gcloud CLI command to apply the change. B. When there is a change in GitHub. use a web hook to send a request to Anthos Service Mesh, and apply the change. C. Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management to apply the change. D. Configure Config Connector with the GitHub repository. When there is a change in the repository, use Config Connector to apply the change.

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. 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. B. 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. C. 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. D. 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.

You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

A. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key. B. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret. C. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity. D. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).

You are deploying an application to Cloud Run. The application requires a password to start. Your organization requires that all passwords are rotated every 24 hours, and your application must have the latest password. You need to deploy the application with no downtime. What should you do?

A. Store the password in Secret Manager and send the secret to the application by using environment variables. B. Store the password in Secret Manager and mount the secret as a volume within the application. C. Use Cloud Build to add your password into the application container at build time. Ensure that Artifact Registry is secured from public access. D. Store the password directly in the code. Use Cloud Build to rebuild and deploy the application each time the password changes.