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Q121. Which Google Cloud service provides a command-line environment for managing resources without installing the Google Cloud CLI locally?

1) Cloud Shell
2) Cloud DNS
3) Cloud SQL
4) Cloud CDN

Correct Answer: 1)

Explanation:

Cloud Shell provides an online, browser-based command-line environment that includes the Google Cloud CLI and commonly used development utilities. It allows administrators and developers to manage Google Cloud resources without manually installing and configuring command-line tools on their local computers. Cloud Shell is particularly useful when working from different machines because the environment is accessible through the Google Cloud console. Cloud DNS manages domain name resolution, Cloud SQL provides managed relational databases, and Cloud CDN accelerates content delivery. Therefore, Cloud Shell is the most appropriate solution when a browser-based command-line environment is required.

Q122. An administrator wants to identify which Google Cloud resources are consuming the most CPU, memory, and other monitored resources. Which service should be used?

1) Cloud Audit Logs
2) Cloud Monitoring
3) Cloud KMS
4) Cloud Storage

Correct Answer: 2)

Explanation:

Cloud Monitoring collects metrics from Google Cloud resources and applications, allowing administrators to create dashboards, investigate resource utilization, and configure alerts. It can provide information about metrics such as CPU utilization, network traffic, and other monitored signals. This makes it useful for identifying performance problems and understanding resource consumption. Cloud Audit Logs focuses on recording administrative and access-related activities, while Cloud KMS manages cryptographic keys and Cloud Storage stores objects. Therefore, Cloud Monitoring is the appropriate service for observing resource performance and utilization across Google Cloud environments.

Q123. A company wants to receive an alert whenever a Compute Engine VM exceeds a specific CPU utilization threshold. What should the administrator configure?

1) Cloud Storage lifecycle rule
2) Cloud Monitoring alerting policy
3) Cloud DNS zone
4) IAM custom role

Correct Answer: 2)

Explanation:

A Cloud Monitoring alerting policy can evaluate metrics such as Compute Engine CPU utilization and generate notifications when a defined condition is met. Administrators can configure a threshold, evaluation period, notification channel, and other settings to ensure that the appropriate team is informed when the VM exceeds the specified utilization level. Cloud Storage lifecycle rules manage object transitions or deletion, Cloud DNS manages DNS records, and IAM custom roles control permissions. Therefore, a Cloud Monitoring alerting policy is the correct solution for automatically notifying administrators when VM CPU utilization reaches a defined threshold.

Q124. Which Google Cloud feature allows administrators to add metadata such as environment, department, or application information to resources?

1) Labels
2) Cloud NAT
3) Snapshots
4) Health checks

Correct Answer: 1)

Explanation:

Labels are key-value pairs that can be attached to supported Google Cloud resources to help organize, identify, and categorize them. Organizations commonly use labels such as environment=production, department=finance, or application=web to improve resource management and reporting. Labels can also support filtering and cost analysis where supported. Cloud NAT provides outbound network connectivity, snapshots capture disk data for backup or recovery, and health checks determine whether resources are responding correctly. Therefore, labels are the appropriate feature when administrators need to attach descriptive metadata to cloud resources for organization and management.

Q125. A company wants to prevent users from creating certain types of Google Cloud resources across an organization. Which service should be considered?

1) Cloud Monitoring
2) Organization Policy Service
3) Cloud Storage
4) Cloud Scheduler

Correct Answer: 2)

Explanation:

Organization Policy Service allows administrators to define centralized constraints that govern how Google Cloud resources can be configured and used across an organization, folder, or project. These policies can help enforce security, compliance, and operational requirements, such as restricting specific resource configurations or preventing certain actions. Cloud Monitoring focuses on observability, Cloud Storage provides object storage, and Cloud Scheduler executes scheduled jobs. Organization policies are especially useful because they provide governance at a higher level of the resource hierarchy. Therefore, Organization Policy Service is the appropriate choice for enforcing organization-wide restrictions.

Q126. Which Google Cloud service helps administrators estimate and control spending by notifying them when configured budget thresholds are reached?

1) Cloud Billing budgets and alerts
2) Cloud Audit Logs
3) Cloud Build
4) Cloud Trace

Correct Answer: 1)

Explanation:

Cloud Billing budgets and alerts help organizations monitor cloud spending against configured budget amounts. Administrators can define a budget and configure threshold notifications, such as alerts when actual or forecasted costs reach a specified percentage of the budget. These alerts provide visibility into spending and can help teams respond before costs become unexpectedly high. A budget itself does not automatically stop resource usage unless additional automation is configured. Cloud Audit Logs records activity, Cloud Build handles application builds, and Cloud Trace assists with distributed request tracing. Therefore, Cloud Billing budgets and alerts are the correct solution for spending notifications.

Q127. A Compute Engine VM requires a fixed external IP address that should remain associated with the resource even if the VM is stopped and started. What should be configured?

1) Ephemeral external IP
2) Static external IP address
3) Internal DNS name
4) Cloud NAT only

Correct Answer: 2)

Explanation:

A static external IP address provides a fixed public IP that can remain associated with a Google Cloud resource according to its configuration, rather than changing like an ephemeral address can when resources are stopped or recreated. Static external addresses are useful when applications require a predictable public endpoint, such as a server that clients access directly. An ephemeral address is temporary and can change when the resource lifecycle changes. Internal DNS names are used for name resolution rather than assigning a fixed public address. Cloud NAT provides outbound connectivity but does not replace the need for a static external address.

Q128. Which VPC network type requires administrators to explicitly define subnets and their IP ranges?

1) Custom mode VPC
2) Auto mode VPC
3) Default network only
4) Cloud VPN network

Correct Answer: 1)

Explanation:

In a custom mode VPC network, administrators explicitly create subnets and choose their IP ranges and regions. This provides greater control over network architecture and is generally preferred for production environments where precise IP planning is required. Auto mode VPC networks automatically create subnets in available regions using predefined ranges, which can be convenient but may not fit carefully planned enterprise network designs. A default network is initially created with predefined configuration and is not the same concept as a custom network design. Therefore, custom mode VPC is the appropriate choice when administrators need explicit subnet control.

Q129. What is the primary purpose of a VPC route in Google Cloud?

1) To define how network traffic reaches a destination
2) To store container images
3) To encrypt Cloud Storage objects
4) To create IAM users

Correct Answer: 1)

Explanation:

VPC routes determine how packets are directed from a Google Cloud resource toward a destination. Routes contain information such as destination ranges and next-hop information, allowing traffic to reach resources within the VPC, connected networks, or external destinations. Google Cloud automatically provides some routes, while administrators can create custom static routes when specific routing behavior is required. Routes are separate from IAM, object encryption, and container image storage. IAM controls authorization, Cloud Storage handles object data, and Artifact Registry manages software artifacts. Therefore, the primary purpose of a VPC route is directing network traffic toward its destination.

Q130. A company needs dynamic exchange of routes between its VPC network and an on-premises network using BGP. Which Google Cloud component should be configured?

1) Cloud Router
2) Cloud Storage
3) Cloud Scheduler
4) Cloud Run

Correct Answer: 1)

Explanation:

Cloud Router provides dynamic route exchange using the Border Gateway Protocol (BGP) between a Google Cloud VPC network and connected networks. It is commonly used with Cloud VPN or Cloud Interconnect to dynamically learn and advertise routes instead of requiring administrators to maintain static routes manually. This is particularly useful in hybrid network environments where network topology may change. Cloud Storage handles object storage, Cloud Scheduler runs scheduled jobs, and Cloud Run executes containerized applications. Therefore, Cloud Router is the appropriate component when dynamic BGP-based route exchange is required.

Q131. Which Google Cloud networking service provides an encrypted tunnel between an on-premises network and a VPC over the public internet?

1) Cloud VPN
2) Cloud CDN
3) Cloud DNS
4) Cloud Load Balancing

Correct Answer: 1)

Explanation:

Cloud VPN creates encrypted IPsec tunnels between networks, allowing on-premises infrastructure to communicate securely with a Google Cloud VPC over the public internet. It is commonly used for hybrid connectivity when organizations need secure communication without establishing a dedicated physical connection. Cloud VPN can work with Cloud Router and dynamic routing configurations depending on the architecture. Cloud CDN accelerates content delivery, Cloud DNS manages domain resolution, and Cloud Load Balancing distributes traffic. Therefore, Cloud VPN is the appropriate networking service when secure encrypted connectivity over the public internet is required.

Q132. An enterprise requires a dedicated physical connection between its on-premises data center and Google Cloud. Which service should it consider?

1) Cloud NAT
2) Cloud Interconnect
3) Cloud DNS
4) Cloud Scheduler

Correct Answer: 2)

Explanation:

Cloud Interconnect provides connectivity between an organization’s on-premises network and Google Cloud using dedicated or partner-based connectivity options. It is designed for workloads requiring high bandwidth, lower latency, and more predictable network performance than connections that traverse the public internet. Organizations can use Dedicated Interconnect or Partner Interconnect depending on their requirements and connectivity model. Cloud NAT provides outbound internet access for private resources, Cloud DNS handles name resolution, and Cloud Scheduler runs scheduled tasks. Therefore, Cloud Interconnect is the appropriate solution when an enterprise needs dedicated connectivity between its data center and Google Cloud.

Q133. Which GKE cluster configuration provides a Google-managed control plane and reduces the operational burden of managing Kubernetes nodes?

1) GKE Autopilot
2) Compute Engine unmanaged instances
3) Cloud Storage
4) Cloud DNS

Correct Answer: 1)

Explanation:

GKE Autopilot provides a managed Kubernetes experience in which Google manages much of the underlying cluster infrastructure and node operations. This allows teams to focus more on deploying and operating applications instead of managing node provisioning, scaling, and many infrastructure-level details. Autopilot applies managed configurations and resource requirements that simplify Kubernetes operations. Compute Engine unmanaged instances are not a Kubernetes management model, while Cloud Storage and Cloud DNS provide storage and networking-related services. Therefore, GKE Autopilot is an appropriate choice when an organization wants Kubernetes while minimizing the operational responsibility for managing cluster infrastructure.

Q134. A GKE application needs to expose a service externally using a Google Cloud load balancer. Which Kubernetes service type is commonly used?

1) ClusterIP
2) NodePort only
3) LoadBalancer
4) ConfigMap

Correct Answer: 3)

Explanation:

The Kubernetes LoadBalancer service type can expose an application externally and, in GKE, can provision an appropriate Google Cloud load-balancing resource depending on the configuration and service type. This allows clients outside the cluster to access the application through an external endpoint. ClusterIP provides internal cluster access and is normally not directly reachable from outside the cluster. NodePort exposes a service through node ports but is not the preferred abstraction when a managed cloud load balancer is required. ConfigMap stores configuration data. Therefore, LoadBalancer is the appropriate service type for exposing a GKE application externally through a cloud load-balancing mechanism.

Q135. A Cloud Run service has a new revision that must receive only a small percentage of production traffic for testing. Which feature should be used?

1) Traffic splitting between revisions
2) Cloud Storage Versioning
3) VPC Peering
4) Cloud DNS forwarding

Correct Answer: 1)

Explanation:

Cloud Run supports traffic management between service revisions, allowing administrators to direct a selected percentage of incoming traffic to different revisions. This makes it possible to perform gradual rollouts, canary testing, and controlled releases. For example, a new revision can receive a small percentage of traffic while the existing stable revision continues serving most requests. Cloud Storage Versioning manages object versions, VPC Peering connects VPC networks, and Cloud DNS forwarding handles DNS-related resolution. Therefore, Cloud Run traffic splitting is the appropriate feature when a new revision should receive only a controlled percentage of production traffic.

Q136. A Pub/Sub subscriber successfully processes a message and wants Google Cloud to remove that message from the subscription so it is not delivered again. What should the subscriber do?

1) Delete the topic
2) Acknowledge the message
3) Restart the subscription
4) Change the project ID

Correct Answer: 2)

Explanation:

In Google Cloud Pub/Sub, a subscriber should acknowledge a message after successfully processing it. The acknowledgment informs Pub/Sub that the message has been successfully handled, allowing it to be removed from the subscription’s outstanding delivery state. If a subscriber fails to acknowledge a message within the applicable acknowledgment period, Pub/Sub may redeliver it according to the subscription configuration. Deleting the topic or restarting a subscription is not required for normal message processing. Therefore, acknowledging the message is the correct action after successful processing.

Q137. A BigQuery table receives large amounts of time-based data, and queries commonly filter by date. Which design can help reduce the amount of data scanned?

1) Table partitioning
2) Cloud VPN
3) Cloud NAT
4) Cloud DNS

Correct Answer: 1)

Explanation:

BigQuery table partitioning divides table data into partitions based on a selected partitioning column or method, such as a date or timestamp. When queries include filters that match the partitioning strategy, BigQuery can potentially scan only the relevant partitions instead of scanning the entire table. This can improve query performance and reduce the amount of data processed. Cloud VPN, Cloud NAT, and Cloud DNS are networking services and do not optimize BigQuery table scanning. Therefore, partitioning is an effective design choice for large time-based datasets that are frequently queried using date filters.

Q138. Which BigQuery feature can organize data within partitions based on selected columns to improve query performance?

1) Cloud Router
2) Clustering
3) Cloud NAT
4) IAM Conditions

Correct Answer: 2)

Explanation:

BigQuery clustering organizes data within a table or partition based on the values of selected clustering columns. When queries frequently filter or group by those columns, clustering can help BigQuery process relevant data more efficiently. Clustering is often used together with partitioning for large analytical datasets. Cloud Router manages dynamic network routing, Cloud NAT provides outbound connectivity, and IAM Conditions control conditional access. None of these services provide BigQuery data organization capabilities. Therefore, clustering is the correct feature when the objective is to organize data based on selected columns to improve query efficiency.

Q139. A Cloud SQL database must remain available if a primary instance’s zone experiences a failure. Which configuration should be considered?

1) High availability configuration
2) Object Versioning
3) Cloud Storage lifecycle policy
4) Cloud DNS private zone only

Correct Answer: 1)

Explanation:

Cloud SQL high availability provides a configuration designed to improve database availability by using a primary instance and a standby instance in different zones. If the primary instance becomes unavailable because of an infrastructure failure, Cloud SQL can perform a failover to the standby instance. This reduces downtime compared with relying on a single-zone database deployment. Object Versioning and Cloud Storage lifecycle policies are storage-management features, while a Cloud DNS private zone does not provide database failover. Therefore, a Cloud SQL high availability configuration is the appropriate choice when the database must tolerate a zonal failure.

Q140. A Cloud SQL database administrator wants an additional copy of database data that can be used for read-heavy workloads. Which feature is appropriate?

1) Read replica
2) Cloud NAT
3) Cloud Scheduler
4) VPC firewall rule

Correct Answer: 1)

Explanation:

A Cloud SQL read replica is an additional database instance that receives replicated data from a primary instance and can serve read traffic. Read replicas are useful for workloads where applications generate many read operations and the administrator wants to reduce the read workload placed on the primary database. They can also support certain reporting and analytics use cases. A read replica is different from a high availability standby, which primarily supports failover and availability. Cloud NAT, Cloud Scheduler, and VPC firewall rules provide networking, scheduling, and traffic-control functions rather than database read scaling. Therefore, a read replica is the appropriate solution.