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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
You are running a web application deployed to a Compute Engine managed instance group Ops Agent is installed on all instances You recently noticed suspicious activity from a specific IP address You need to configure Cloud Monitoring to view the number of requests from that specific IP address with minimal operational overhead. What should you do?

A. Configure the Ops Agent with a metrics receiver
B. Create a script to scrape the web server log Export the IP address request metrics to the Cloud Monitoring API
C. Update the application to export the IP address request metrics to the Cloud Monitoring API
D. Configure the Ops Agent with a logging receiver Create a logs-based metric

Answer: D

NEW QUESTION # 31
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?

A. Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespacefor development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.
B. Create one Google Cloud project per team In each project create a cluster for development and one forproduction Grant the teams Identity and Access Management (1AM) access to their respective clusters
C. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace
D. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can onlyaccess its own namespace

Answer: C

NEW QUESTION # 32
You work for a company that manages highly sensitive user data. You are designing the Google Kubernetes Engine (GKE) infrastructure for your company, including several applications that will be deployed in development and production environments. Your design must protect data from unauthorized access from other applications while minimizing the amount of management overhead required. What should you do?

A. Create one cluster for each application with separate namespaces for production and development environments.
B. Create one cluster for the organization with separate namespaces for each application.
C. Create one cluster for the organization with separate namespaces for each application and environment combination.
D. Create one cluster for each environment (development and production) with each application in its own namespace within each cluster.

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
For highly sensitive user data, you need to isolate applications while minimizing management overhead. The best practice is:
One GKE cluster per environment (Development and Production) # This provides a clear separation of concerns and avoids security risks from running different environments in the same cluster.
Each application in its own namespace # Namespaces provide logical isolation for different applications within the same cluster, reducing unauthorized access risks.
#Why not other options?
A (Single cluster for org with multiple namespaces for apps & envs)## Bad security practice because mixing production and development in the same cluster increases the risk of privilege escalation.
C (Single cluster for org with namespaces per app)## Still mixes development and production in the same cluster, violating isolation requirements for sensitive data.
D (One cluster per app)## High operational overhead; unnecessary complexity for small to medium-scale deployments.
#Official Reference:
GKE Multi-Tenancy Best Practices
GKE Security Hardening

NEW QUESTION # 33
You support a stateless web-based API that is deployed on a single Compute Engine instance in the europe-west2-a zone . The Service Level Indicator (SLI) for service availability is below the specified Service Level Objective (SLO). A postmortem has revealed that requests to the API regularly time out. The time outs are due to the API having a high number of requests and running out memory. You want to improve service availability. What should you do?

A. Set up additional service instances in other zones and use them as a failover in case the primary instance is unavailable.
B. Set up additional service instances in other zones and load balance the traffic between all instances.
C. Change the specified SLO to match the measured SLI.
D. Move the service to higher-specification compute instances with more memory.

Answer: B

NEW QUESTION # 34
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. tcp_ssl_proxy/new_connections
B. flex/instance/connections/current
C. flex/connections/current
D. tcp_ssl_proxy/open_connections

Answer: C

NEW QUESTION # 35
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