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| Section | Weight | Objectives |
|---|
| Topic 1: Applying site reliability engineering practices | 18% | - Design for resilience
- 1. Plan redundancy and fault tolerance
- 2. Test failure scenarios and recovery
- 3. Automate remediation and self-healing
- Manage incidents and outages
- 1. Perform postmortems and root cause analysis
- 2. Detect and respond to issues quickly
- 3. Implement improvements to prevent recurrence
- Define reliability goals
- 1. Align reliability with business needs
- 2. Use error budgets to balance change and stability
- 3. Establish SLIs, SLOs, SLAs
|
| Topic 2: Bootstrapping and maintaining a Google Cloud organization | 20% | - Manage configuration and deployment
- 1. Use Infrastructure as Code tools
- 2. Enforce consistency across environments
- 3. Automate resource provisioning
- Design resource hierarchy
- 1. Organize resources by project/folder/application
- 2. Define IAM policies and access control
- 3. Plan shared networking and connectivity
- Set up governance and compliance
- 1. Configure audit logging and monitoring
- 2. Implement organization policies
- 3. Manage resource quotas and limits
|
| Topic 3: Building and implementing CI/CD pipelines | 25% | - Implement and secure pipelines
- 1. Manage pipeline secrets and credentials
- 2. Enforce security scanning and compliance checks
- 3. Automate build, test, and deployment stages
- Design CI/CD pipelines
- 1. Plan pipelines for apps, infrastructure, ML workloads
- 2. Support hybrid/multi-cloud deployment
- 3. Integrate artifact management
- Optimize and maintain pipelines
- 1. Improve speed and reliability
- 2. Monitor pipeline performance
- 3. Handle rollbacks and versioning
|
| Topic 4: Optimizing performance and cost | 17% | - Balance cost, performance, and reliability
- 1. Plan capacity and scaling
- 2. Optimize over time
- 3. Make tradeoff decisions based on data
- Improve system performance
- 1. Optimize resource allocation
- 2. Tune applications and infrastructure
- 3. Use caching and content delivery
- Apply FinOps practices
- 1. Use spot instances and committed use discounts
- 2. Right-size resources and eliminate waste
- 3. Monitor and analyze cloud costs
|
| Topic 5: Implementing observability and troubleshooting | 20% | - Build monitoring and logging systems
- 1. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- 2. Create dashboards and alerts
- 3. Collect and analyze metrics, logs, traces
- Optimize observability strategy
- 1. Scale monitoring for large environments
- 2. Reduce noise and prioritize signals
- 3. Integrate observability into development
- Troubleshoot complex issues
- 1. Analyze performance and latency
- 2. Trace requests end-to-end
- 3. Isolate problems across layers
|
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q137-Q142):
NEW QUESTION # 137
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members.
What should you do?
- A. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
- B. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
- C. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
- D. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
Answer: C
Explanation:
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html
NEW QUESTION # 138
You are analyzing Java applications in production. All applications have Cloud Profiler and Cloud Trace installed and configured by default. You want to determine which applications need performance tuning. What should you do?
Choose 2 answers
- A. Examine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation.
- B. O Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization.
- C. Examine the heap usage Of the application. If the usage is low, mark the application for optimization.
- D. Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the memory resource allocation.
- E. 17 Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the local disk storage allocation.
Answer: A,B
Explanation:
The correct answers are A and D)
Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the CPU resource allocation. This is a good way to determine if the application is CPU-bound, meaning that it spends more time waiting for the CPU than performing actual computation. Increasing the CPU resource allocation can improve the performance of CPU-bound applications1.
Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization. This is a good way to determine if the application is I/O-bound, meaning that it spends more time waiting for input/output operations than performing actual computation. Increasing the CPU resource allocation will not help I/O-bound applications, and they may need optimization to reduce the number or duration of I/O operations2.
Answer B is incorrect because increasing the memory resource allocation will not help if the application is CPU-bound or I/O-bound. Memory allocation affects how much data the application can store and access in memory, but it does not affect how fast the application can process that data.
Answer C is incorrect because increasing the local disk storage allocation will not help if the application is CPU-bound or I/O-bound. Disk storage affects how much data the application can store and access on disk, but it does not affect how fast the application can process that data.
Answer E is incorrect because examining the heap usage of the application will not help to determine if the application needs performance tuning. Heap usage affects how much memory the application allocates for dynamic objects, but it does not affect how fast the application can process those objects. Moreover, low heap usage does not necessarily mean that the application is inefficient or unoptimized.
NEW QUESTION # 139
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?
- A. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
- B. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
- C. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat- images.
- D. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/altostrat-images/.
Answer: A
NEW QUESTION # 140
Your CTO has asked you to implement a postmortem policy on every incident for internal use. You want to define what a good postmortem is to ensure that the policy is successful at your company. What should you do?
Choose 2 answers
- A. Ensure that all postmortems include how the incident was resolved and what caused the incident without naming customer information.
- B. Ensure that all postmortems include the severity of the incident, how to prevent a future occurrence of the incident. and what caused the incident without naming internal system components.
- C. Ensure that all postmortems include what caused the incident, identify the person or team responsible for causing the incident. and how to prevent a future occurrence of the incident.
- D. Ensure that all postmortems include what caused the incident, how the incident could have been worse, and how to prevent a future occurrence of the incident.
- E. Ensure that all postmortems include all incident participants in postmortem authoring and share postmortems as widely as possible,
Answer: D,E
Explanation:
The correct answers are B and E.
A good postmortem should include what caused the incident, how the incident could have been worse, and how to prevent a future occurrence of the incident1. This helps to identify the root cause of the problem, the impact of the incident, and the actions to take to mitigate or eliminate the risk of recurrence.
A good postmortem should also include all incident participants in postmortem authoring and share postmortems as widely as possible2. This helps to foster a culture of learning and collaboration, as well as to increase the visibility and accountability of the incident response process.
Answer A is incorrect because it assigns blame to a person or team, which goes against the principle of blameless postmortems2. Blameless postmortems focus on finding solutions rather than pointing fingers, and encourage honest and constructive feedback without fear of punishment.
Answer C is incorrect because it omits how the incident could have been worse, which is an important factor to consider when evaluating the severity and impact of the incident1. It also avoids naming internal system components, which makes it harder to understand the technical details and root cause of the problem.
Answer D is incorrect because it omits how to prevent a future occurrence of the incident, which is the main goal of a postmortem1. It also avoids naming customer information, which may be relevant for understanding the impact and scope of the incident.
NEW QUESTION # 141
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 $900, and determine that the increase in availability is not worth the investment
- B. Calculate the value of improved availability to be $1 000 and determine that the increase in availability is worth the investment
- C. Calculate the value of improved availability to be $9,000. 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: A
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 # 142
......
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