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How to book Google Professional Cloud DevOps Engineer Exams

The registration for the Google Professional Cloud DevOps Engineer exam follows the steps given below.

Step 1: Visit the Google Cloud Webassessor Website
Step 2: Sign-in or sign up to your Google Cloud Webassessor account
Step 3: Search for the exam name Google Professional Cloud DevOps Engineer
Step 4: Take the date of the exam, choose the exam center, and make further payment using payment methods like credit/debit, etc.

After registering for the exam, prepare from the Professional Cloud DevOps Engineer exam dumps and make sure to take Professional Cloud DevOps Engineer practice exam so you know the exam format in advance. This will give you an advantage over other candidates.

Google Professional-Cloud-DevOps-Engineer Certification is highly valued in the industry as it validates the skills and knowledge of professionals who are working in the field of cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification program is designed to help professionals enhance their career prospects and demonstrate their expertise in cloud computing and DevOps principles.

Topics of Google Professional Cloud DevOps Engineer Exam

Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our Professional Cloud DevOps Engineer Dumps will include the following topics:

Applying site reliability engineering principles to a service

Toil automation
Discover SLIs (availability, latency, etc.)
Agree to consequences of not meeting the error budget
Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
1.2 Manage service life cycle:
Construct feedback loops to decide what to build next

Building and implementing CI/CD pipelines for a service

CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
Design CI/CD pipelines:
Artifact repositories with Container Registry
Deployment strategies with Cloud Build, Spinnaker

Implementing service monitoring strategies

Selecting the options for logging export
Viewing export logs in Cloud Storage and BigQuery
Sending application logs directly to Stackdriver API with Stackdriver Logging
Understanding the logging exclusion vs. logging export
Viewing logs in the GCP Console
Collecting GKE/Kubernetes metrics
Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
Set ACL to restrict export configuration with IAM, Stackdriver Logging
Collecting metrics from Compute Engine
Using basic vs. advanced logging filters

Optimizing service performance

Consider network pricing
Work with committed-use discounts
identify resource costs
Develop a plan to optimize areas of greatest cost or lowest utilization
Manage preemptible VMs
Utilize Stackdriver Trace/Profiler to profile performance characteristics
Interpret service mesh telemetry
Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
Identify service performance issues:
Utilize Stackdriver to identify cloud resource utilization
Identify resource utilization levels
TCO considerations

Managing service incidents

Coordinate roles and implement communication channels during a service incident:
Scaling response team and delegation
Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
Define roles (incident commander, communication lead, operations lead)
Record major changes in incident state (When mitigated? When all clear? etc.)
Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
Rotate/hand over roles
Avoid exhaustion/burnout
Identify probable causes of service failure
Provide regular status updates, internal and external
Manage stakeholder relationships

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We guarantee you that our top-rated Google Professional-Cloud-DevOps-Engineer practice exam (PDF, desktop practice test software, and web-based practice exam) will enable you to pass the Google Professional-Cloud-DevOps-Engineer certification exam on the very first go. The authority of Google Professional-Cloud-DevOps-Engineer Exam Questions rests on its being high-quality and prepared according to the latest pattern.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
Your company's security team needs to have read-only access to Data Access audit logs in the _Required bucket You want to provide your security team with the necessary permissions following the principle of least privilege and Google-recommended practices. What should you do?

A. Assign the roles/logging.privateLogViewer role to each member of the security team
B. Assign the roles/logging. viewer role to a group with all the security team members
C. Assign the roles/logging, viewer role to each member of the security team
D. Assign the roles/logging.privateLogviewer role to a group with all the security team members

Answer: D

Explanation:
Explanation
The best option for providing your security team with the necessary permissions following the principle of least privilege and Google-recommended practices is to assign the roles/logging.privateLogViewer role to a group with all the security team members. The roles/logging.privateLogViewer role is a predefined role that grants read-only access to Data Access audit logs and other private logs in Cloud Logging. A group is a collection of users that can be assigned roles and permissions as a single unit. You can assign the roles/logging.privateLogViewer role to a group with all the security team members by using IAM policies.
This way, you can provide your security team with the minimum level of access they need to view Data Access audit logs in the _Required bucket.

NEW QUESTION # 31
You are configuring a Cl pipeline. The build step for your Cl pipeline integration testing requires access to APIs inside your private VPC network. Your security team requires that you do not expose API traffic publicly. You need to implement a solution that minimizes management overhead. What should you do?

A. Use Cloud Build as a pipeline runner. Configure External HTTP(S) Load Balancing with a Google Cloud Armor policy for API access.
B. Use Cloud Build private pools to connect to the private VPC.
C. Use Spinnaker for Google Cloud to connect to the private VPC.
D. Use Cloud Build as a pipeline runner. Configure Internal HTTP(S) Load Balancing for API access.

Answer: B

Explanation:
Explanation
Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure1. Cloud Build can be used as a pipeline runner for your CI pipeline, which is a process that automates the integration and testing of your code2. Cloud Build private pools are private, dedicated pools of workers that offer greater customization over the build environment, including the ability to access resources in a private VPC network3.
A VPC network is a virtual network that provides connectivity for your Google Cloud resources and services. By using Cloud Build private pools, you can implement a solution that minimizes management overhead, as Cloud Build private pools are hosted and fully-managed by Cloud Build and scale up and down to zero, with no infrastructure to set up, upgrade, or scale3. You can also implement a solution that meets your security requirement, as Cloud Build private pools use network peering to connect into your private VPC network and do not expose API traffic publicly.

NEW QUESTION # 32
You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

A. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
B. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
C. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
D. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.

Answer: D

NEW QUESTION # 33
Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE) The application load increases during the day and decreases during the night Your operations team has configured the application to run enough Pods to handle the evening peak load You want to automate scaling by only running enough Pods and nodes for the load What should you do?

A. Configure the Vertical Pod Autoscaler and enable the cluster autoscaler
B. Configure the Vertical Pod Autoscaler but keep the node pool size static
C. Configure the Horizontal Pod Autoscaler and enable the cluster autoscaler
D. Configure the Horizontal Pod Autoscaler but keep the node pool size static

Answer: C

Explanation:
The best option for automating scaling by only running enough Pods and nodes for the load is to configure the Horizontal Pod Autoscaler and enable the cluster autoscaler. The Horizontal Pod Autoscaler is a feature that automatically adjusts the number of Pods in a deployment or replica set based on observed CPU utilization or custom metrics. The cluster autoscaler is a feature that automatically adjusts the size of a node pool based on the demand for node capacity. By using both features together, you can ensure that your application runs enough Pods to handle the load, and that your cluster runs enough nodes to host the Pods. This way, you can optimize your resource utilization and cost efficiency.

NEW QUESTION # 34
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?

A. Set up the Kubernetes Engine clusters as private clusters.
B. Enable Vulnerability Analysis on the Container Registry.
C. Set up the Kubernetes Engine clusters with Binary Authorization.
D. Enable Cloud Security Scanner on the clusters.

Answer: B

NEW QUESTION # 35
......

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