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Individuals should pursue the Professional Cloud DevOps Engineer practice exam if they want to demonstrate their expertise and ability to design plan, and prototype a GCP DevOps, implement a GCP Virtual Private Cloud (VPC), implement DevOps security. It's perfect for DevOps engineers, systems administrators or operations team members, or simply any professional who wants in on this specific area of IT and cloud.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

• A. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
• B. Assign the Container Developer role to the Cloud Build service account.
• C. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
• D. Create a new service account with the Container Developer role and use it to run Cloud Build.

Answer: B

Explanation:
https://cloud.google.com/build/docs/deploying-builds/deploy-gke
https://cloud.google.com/build/docs/securing-builds/configure-user-specified-service-accounts

NEW QUESTION # 58
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

• A. MTTD: 5
  MTTR: 10
  MTBF: 90
  Impact: 33%
• B. MTTD:5
  MTTR: 20
  MTBF: 90
  Impact: 33%
• C. MTTD:5
  MTTR: 10
  MTBF: 90
  Impact 50%
• D. MTTD:5
  MTTR: 20
  MTBF: 90
  Impact: 50%

Answer: C

NEW QUESTION # 59
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

• A. MTTD:5
  MTTR: 10
  MTBF: 90
  Impact 50%
• B. MTTD:5
  MTTR: 20
  MTBF: 90
  Impact: 33%
• C. MTTD: 5
  MTTR: 10
  MTBF: 90
  Impact: 33%
• D. MTTD:5
  MTTR: 20
  MTBF: 90
  Impact: 50%

Answer: C

NEW QUESTION # 60
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler 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 or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

• A. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
• B. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
• C. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
• D. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

Answer: D

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption

NEW QUESTION # 61
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. Copies of the design documents for all the services impacted by the incident
• B. A list of employees responsible for causing the incident
• C. An explanation of the root cause of the incident
• D. Your opinion of the incident's severity compared to past incidents
• E. A list of action items to prevent a recurrence of the incident

Answer: B,C

NEW QUESTION # 62
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