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Vce Professional-Cloud-DevOps-Engineer Format & Professional-Cloud-DevOps-Engineer New Dumps Book

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Google Professional-Cloud-DevOps-Engineer exam is a certification that validates the skills and knowledge of a DevOps engineer in the Google Cloud Platform (GCP) environment. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is designed for professionals who have experience in software development, operations, and infrastructure management. Professional-Cloud-DevOps-Engineer exam aims to test a candidate's expertise in designing, building, and managing efficient and scalable DevOps workflows in the GCP environment.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q48-Q53):

NEW QUESTION # 48
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. Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management 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 Config Connector with the GitHub repository. When there is a change in the repository, use Config Connector to apply the change.
D. 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.

Answer: A

Explanation:
The correct answer is 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.
According to the web search results, Anthos Config Management is a service that lets you manage the configuration of your Google Kubernetes Engine (GKE) clusters from a single source of truth, such as a GitHub repository1. Anthos Config Management can enforce several constraint templates across your GKE clusters by using Policy Controller, which is a feature that integrates the Open Policy Agent (OPA) Constraint Framework into Anthos Config Management2. Policy Controller can apply constraints that include policy parameters, such as restricting the Kubernetes API3. To use Anthos Config Management and Policy Controller, you need to configure them with your GitHub repository and enable the sync mode4. When there is a change in the repository, Anthos Config Management will automatically sync and apply the change to your GKE clusters5.
The other options are incorrect because they do not use Anthos Config Management and Policy Controller. Option A is incorrect because it uses a GitHub action to trigger Cloud Build, which is a service that executes your builds on Google Cloud Platform infrastructure6. Cloud Build can run a gcloud CLI command to apply the change, but it does not use Anthos Config Management or Policy Controller. Option B is incorrect because it uses a web hook to send a request to Anthos Service Mesh, which is a service that provides a uniform way to connect, secure, monitor, and manage microservices on GKE clusters7. Anthos Service Mesh can apply the change, but it does not use Anthos Config Management or Policy Controller. Option D is incorrect because it uses Config Connector, which is a service that lets you manage Google Cloud resources through Kubernetes configuration. Config Connector can apply the change, but it does not use Anthos Config Management or Policy Controller.
Reference:
Anthos Config Management documentation, Overview. Policy Controller, Policy Controller. Constraint template library, Constraint template library. Installing Anthos Config Management, Installing Anthos Config Management. Syncing configurations, Syncing configurations. Cloud Build documentation, Overview. Anthos Service Mesh documentation, Overview. [Config Connector documentation], Overview.

NEW QUESTION # 49
Your organization wants to increase the availability target of an application from 99 9% to 99 99% for an investment of $2 000 The application's current revenue is S1,000,000 You need to determine whether the increase in availability is worth the investment for a single year of usage What should you do?

A. Calculate the value of improved availability to be $9,000. and determine that the increase in availability is worth the investment
B. Calculate the value of improved availability to be $900, and determine that the increase in availability is not worth the investment
C. Calculate the value of improved availability to be $1 000 and determine that the increase in availability is worth the investment
D. Calculate the value of improved availability to be $1 000 and determine that the increase in availability is not worth the investment

Answer: B

Explanation:
The best option for determining whether the increase in availability is worth the investment for a single year of usage is to calculate the value of improved availability to be $900, and determine that the increase in availability is not worth the investment. To calculate the value of improved availability, we can use the following formula:
Value of improved availability = Revenue * (New availability - Current availability) Plugging in the given numbers, we get:
Value of improved availability = $1,000,000 * (0.9999 - 0.999) = $900
Since the value of improved availability is less than the investment of $2,000, we can conclude that the increase in availability is not worth the investment.

NEW QUESTION # 50
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

A. Inject the secret at the time of instance creation via an encrypted configuration management system.
B. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
C. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
D. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently

Answer: D

Explanation:
https://cloud.google.com/security-key-management

NEW QUESTION # 51
You are using Jenkins to orchestrate your CI/CD pipelines deploying your applications to GKE and on- premises VMs. After expanding your on-premises infrastructure, all resource utilization is normal, but you notice that initiating on-premises deployments is taking longer than expected. You need to accelerate the initiation of on-premises deployments. What should you do?

A. Implement a blue-green deployment strategy for your on-premises VMs.
B. Upgrade your on-premises VMs to have faster CPUs and more memory.
C. Increase the number of Jenkins executor threads.
D. Configure Jenkins to use an artifact repository in your on-premises environment.

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
The delay in initiating on-premises deployments is likely caused by slow artifact retrieval. Using a local artifact repository:
Reduces dependency on external storage (e.g., Artifact Registry in GCP).
Speeds up deployments by ensuring artifacts are read from a closer, low-latency source.
#Why not other options?
A (Blue-green deployment strategy)## Helps with zero-downtime deployments but doesn't address slow initiation.
B (Upgrading CPUs and memory)## CPU/RAM are not the issue (since resource utilization is normal).
C (Increasing Jenkins executor threads)## Would help only if Jenkins was the bottleneck, but the issue is artifact retrieval.
#Official Reference:
Best Practices for Artifact Management in Jenkins

NEW QUESTION # 52
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, theserving 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 latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
B. A quality SLI: the ratio of non-degraded responses to total responses
C. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
D. An availability SLI: the ratio of healthy microservices to the total number of microservices

Answer: D

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

NEW QUESTION # 53
......

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