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

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

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

NEW QUESTION # 48
You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

A. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity
B. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate
C. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs
D. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth

Answer: C

Explanation:
Explanation
The best option for preparing to handle the predicted growth is to verify the maximum node pool size, enable a Horizontal Pod Autoscaler, and then perform a load test to verify your expected resource needs. The maximum node pool size is a parameter that specifies the maximum number of nodes that can be added to a node pool by the cluster autoscaler. You should verify that the maximum node pool size is sufficient to accommodate your expected growth rate and avoid hitting any quota limits. 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. You should enable a Horizontal Pod Autoscaler for your application to ensure that it runs enough Pods to handle the load. A load test is a test that simulates high user traffic and measures the performance and reliability of your application. You should perform a load test to verify your expected resource needs and identify any bottlenecks or issues.

NEW QUESTION # 49
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
B. Use Cloud Build to trigger a Spinnaker pipeline.
C. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
D. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.

Answer: D

Explanation:
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/
The most efficient way to build an automated pipeline that deploys the application when the image is updated is to use Cloud Pub/Sub to trigger a Spinnaker pipeline. This way, you can leverage the built-in integration between GCR and Cloud Pub/Sub, and use Spinnaker as a continuous delivery platform for deploying your application .

NEW QUESTION # 50
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?

A. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.
B. Check the serial port logs of the Compute Engine instance.
C. Use Stackdriver Profiler to visualize the resources utilization throughout the application.
D. Determine whether there is an increased number of connections to the Cloud SQL instance.

Answer: D

Explanation:
Explanation
The most probable cause of the database timeout is an increased number of connections to the Cloud SQL instance. This could happen if the application does not close connections properly or if it creates too many connections at once. You can check the number of connections to the Cloud SQL instance using Cloud Monitoring or Cloud SQL Admin API .

NEW QUESTION # 51
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)

A. A list of action items to prevent a recurrence of the incident
B. An explanation of the root cause of the incident
C. A list of employees responsible for causing the incident
D. Copies of the design documents for all the services impacted by the incident
E. Your opinion of the incident's severity compared to past incidents

Answer: A,B

Explanation:
For a postmortem to be truly blameless, it must focus on identifying the contributing causes of the incident without indicting any individual or team for bad or inappropriate behavior.

NEW QUESTION # 52
You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?

A. Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.
B. Instrument all applications with Stackdriver Profiler.
C. Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.
D. Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.

Answer: A

NEW QUESTION # 53
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