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| Section | Weight | Objectives |
|---|---|---|
| Implementing observability and troubleshooting | 20% | - Optimize observability strategy
|
| Bootstrapping and maintaining a Google Cloud organization | 20% | - Manage configuration and deployment
|
| Applying site reliability engineering practices | 18% | - Define reliability goals
|
| Building and implementing CI/CD pipelines | 25% | - Implement and secure pipelines
|
| Optimizing performance and cost | 17% | - Improve system performance
|
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NEW QUESTION # 144
You are implementing a CI'CD pipeline for your application in your company s multi-cloud environment Your application is deployed by using custom Compute Engine images and the equivalent in other cloud providers You need to implement a solution that will enable you to build and deploy the images to your current environment and is adaptable to future changes Which solution stack should you use'?
Answer: D
Explanation:
Cloud Build is a fully managed continuous integration and continuous delivery (CI/CD) service that helps you automate your builds, tests, and deployments. Google Cloud Deploy is a service that automates the deployment of your applications to Google Kubernetes Engine (GKE).
Together, Cloud Build and Google Cloud Deploy can be used to build and deploy your application's custom Compute Engine images to your current environment and to other cloud providers in the future.
Here are the steps involved in using Cloud Build and Google Cloud Deploy to implement a CI/CD pipeline for your application:
Create a Cloud Build trigger that fires whenever a change is made to your application's code.
In the Cloud Build trigger, configure Cloud Build to build your application's Docker image.
Create a Google Cloud Deploy configuration file that specifies how to deploy your application's Docker image to GKE.
In Google Cloud Deploy, create a deployment that uses your configuration file.
Once you have created the Cloud Build trigger and Google Cloud Deploy configuration file, any changes made to your application's code will trigger Cloud Build to build a new Docker image. Google Cloud Deploy will then deploy the new Docker image to GKE.
This solution stack is adaptable to future changes because it uses a cloud-agnostic approach. Cloud Build can be used to build Docker images for any cloud provider, and Google Cloud Deploy can be used to deploy Docker images to any Kubernetes cluster.
The other solution stacks are not as adaptable to future changes. For example, solution stack A (Cloud Build with Packer) is limited to building Docker images for Compute Engine. Solution stack C (Google Kubernetes Engine with Google Cloud Deploy) is limited to deploying Docker images to GKE. Solution stack D (Cloud Build with kpt) is a newer solution that is not yet as mature as Cloud Build and Google Cloud Deploy.
Overall, the best solution stack for implementing a CI/CD pipeline for your application in a multi-cloud environment is Cloud Build with Google Cloud Deploy. This solution stack is fully managed, cloud-agnostic, and adaptable to future changes.
NEW QUESTION # 145
You are troubleshooting a failed deployment in your CI/CD pipeline. The deployment logs indicate that the application container failed to start due to a missing environment variable. You need to identify the root cause and implement a solution within your CI/CD workflow to prevent this issue from recurring. What should you do?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From General CI/CD Practices:
The issue is a runtime failure: the container fails to start due to a missing environment variable. This means the application expects an environment variable that wasn't provided when the container was run. The goal is to prevent this within the CI/CD workflow before it reaches deployment.
A; Run integration tests in the CI pipeline: Integration tests typically involve deploying the application (or a component of it) to a test environment and checking if its parts work together correctly. As part of this, the application would attempt to start up with its configured environment. An integration test suite could include a basic "smoke test" that simply verifies the application starts successfully. If a required environment variable is missing, the application would fail to start during this integration test phase in the CI pipeline, catching the error before a production deployment. Many integration test setups will try to mimic the target deployment environment including its configuration mechanisms (like environment variables).
B: Implement static code analysis in the CI pipeline: Static code analysis tools check the code for potential bugs, style issues, and security vulnerabilities without actually running it. While useful, they are unlikely to catch a missing environment variable configuration, as this is an issue with the deployment configuration or runtime environment, not typically a static property of the code itself (unless the code hardcodes an expectation that could be flagged, but that's less direct).
C: Use a canary deployment strategy: Canary deployments are a strategy for releasing software to production by first deploying to a small subset of users/servers. This helps limit the blast radius if an issue occurs in production. While a good practice for deployments, it doesn't prevent the issue from occurring in the first place; it just limits its impact once it does occur. The question asks to prevent recurrence within the CI/CD workflow (i.e., earlier).
D: Enable Cloud Audit Logs for the deployment: Cloud Audit Logs record administrative actions and accesses within Google Cloud. While the deployment logs already indicated the failure, audit logs provide information about who did what and when regarding the deployment configuration or execution. They are useful for post-mortem analysis of the deployment process itself but don't directly prevent the application from failing due to a misconfiguration like a missing environment variable during the build and test stages.
The most effective way to catch such an issue before a production deployment attempt is to have a test stage in the CI pipeline that attempts to run the application in an environment configured similarly to production, including expected environment variables. Integration tests (or even simpler smoke tests that check for successful startup) would achieve this.
Reference (Based on CI/CD best practices):
Continuous Integration (CI) principles emphasize automated testing at various levels (unit, integration, end-to- end) to catch issues early.
A common CI pipeline stage is to build the application, then deploy it to a test/staging environment and run integration tests. If the application fails to start in this test environment due to a missing environment variable, the pipeline would fail, preventing a flawed release from proceeding further.
"Integration tests verify that different parts of your application work together correctly. This can include interactions with databases, external services, and ensuring the application starts and operates as expected with its runtime configuration." Catching configuration errors like missing environment variables is a key benefit of running integration or smoke tests in a CI environment that mirrors production.
NEW QUESTION # 146
You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?
Answer: B
NEW QUESTION # 147
You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time. What should you do?
Answer: A
NEW QUESTION # 148
You need to introduce postmortems into your organization. You want to ensure that the postmortem process is well received. What should you do?
Choose 2 answers
Answer: D,E
NEW QUESTION # 149
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