Professional-Cloud-DevOps-Engineer Training Materials: Google Cloud Certified - Professional Cloud DevOps Engineer Exam & Professional-Cloud-DevOps-Engineer Cram PDF & Professional-Cloud-DevOps-Engineer Exam Guide

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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

Section	Objectives
Topic 1: Implement site reliability engineering (SRE) practices	- Incident management and postmortems 1. Alerting and on-call practices - Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies
Topic 2: Develop and implement CI/CD pipelines	- Build and manage CI/CD pipelines using Google Cloud tools 1. Cloud Build pipeline design 2. Artifact repository management - Automate build, test, and deployment processes 1. Deployment automation strategies 2. Release management practices
Topic 3: Implement security and compliance	- Secure CI/CD pipelines 1. Secret and credential management 2. IAM and least privilege access - Compliance and governance 1. Audit logging and policy enforcement
Topic 4: Optimize performance and continuous delivery	- Monitoring and observability 1. Performance tuning and feedback loops 2. Cloud Monitoring and Logging - System performance optimization 1. Scaling strategies and load handling

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q190-Q195):

NEW QUESTION # 190
Your team is running microservices in Google Kubernetes Engine (GKE) You want to detect consumption of an error budget to protect customers and define release policies What should you do?

A. Create SLIs from metrics Enable Alert Policies if the services do not pass
B. Create a SLO Create an Alert Policy on select_slo_bum_rate
C. Create a SLO and configure uptime checks for your services Enable Alert Policies if the services do not pass
D. Use the metrics from Anthos Service Mesh to measure the health of the microservices

Answer: B

Explanation:
Explanation
The best option for detecting consumption of an error budget to protect customers and define release policies is to create a service level objective (SLO) and create an alert policy on select_slo_burn_rate. A SLO is a target value or range of values for a service level indicator (SLI) that measures some aspect of the service quality, such as availability or latency. An error budget is the amount of time or number of errors that a service can tolerate while still meeting its SLO. A select_slo_burn_rate is a metric that indicates how fast the error budget is being consumed by the service. By creating an alert policy on select_slo_burn_rate, you can trigger notifications or actions when the error budget consumption exceeds a certain threshold. This way, you can balance change, velocity, and reliability of the service by adjusting the release policies based on the error budget status.

NEW QUESTION # 191
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines.
The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

A. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
B. A quality SLI: the ratio of non-degraded responses to total responses
C. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
D. An availability SLI: the ratio of healthy microservices to the total number of microservices

Answer: D

Explanation:
Explanation
https://cloud.google.com/blog/products/gcp/available-or-not-that-is-the-question-cre-life-lessons

NEW QUESTION # 192
Your company has a Google Cloud resource hierarchy with folders for production test and development Your cyber security team needs to review your company's Google Cloud security posture to accelerate security issue identification and resolution You need to centralize the logs generated by Google Cloud services from all projects only inside your production folder to allow for alerting and near-real time analysis. What should you do?

A. Enable the Workflows API and route all the logs to Cloud Logging
B. Create an aggregated log sink associated with the production folder that uses a Cloud Logging bucket as the destination
C. Create a central Cloud Monitoring workspace and attach all related projects
D. Create an aggregated log sink associated with the production folder that uses a Pub Sub topic as the destination

Answer: B

NEW QUESTION # 193
You manage your company's primary revenue-generating application. You have an error budget policy in place that freezes production deployments when the application is close to breaching its SLO. A number of issues have recently occurred, and the application has exhausted its error budget. You need to deploy a new release to the application that includes a feature urgently required by your largest customer. You have been told that the release has passed all unit tests. What should you do?

A. Delay the deployment of the feature until the error budget is replenished.
B. Start the deployment of the feature immediately.
C. Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported.
D. Re-run the unit tests, and start the deployment of the feature if the tests pass.

Answer: C

NEW QUESTION # 194
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

A. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
B. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
C. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
D. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.

Answer: D

NEW QUESTION # 195
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