{"id":12989,"date":"2026-09-16T05:52:24","date_gmt":"2026-09-16T05:52:24","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=12989"},"modified":"2026-09-16T05:52:24","modified_gmt":"2026-09-16T05:52:24","slug":"google-associate-cloud-engineer-practice-test-questions-and-exam-dumps-part1-q1-20","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/google-associate-cloud-engineer-practice-test-questions-and-exam-dumps-part1-q1-20\/","title":{"rendered":"Google Associate Cloud Engineer Practice Test Questions and Exam Dumps Part1 Q1-20"},"content":{"rendered":"

View Full Google Associate Cloud Engineer Exam Dumps<\/a> and Practice Test Dumps<\/b><\/p>\n

 <\/p>\n

Q1. Which Google Cloud service provides scalable virtual machine instances for running workloads with full control over the operating system?<\/b><\/p>\n

1)<\/b> Cloud Storage<\/span>
\n<\/span>2)<\/b> Compute Engine<\/span>
\n<\/span>3)<\/b> Cloud Functions<\/span>
\n<\/span>4)<\/b> BigQuery<\/span><\/p>\n

Correct Answer: 2)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Google Compute Engine provides configurable virtual machines that allow administrators to control the operating system, machine type, attached disks, networking, and installed software. It is appropriate when a workload requires operating-system-level access or specific software configurations that may not fit a fully managed service. Cloud Storage is designed for object storage, Cloud Functions provides serverless event-driven execution, and BigQuery is designed primarily for analytics. Compute Engine instances can be created individually or managed through instance groups for scalable workloads. Understanding when to select Compute Engine is important for applications that require infrastructure-level control while still benefiting from Google Cloud infrastructure.<\/span><\/p>\n

Q2. A company needs to store large amounts of unstructured data such as images, videos, and backups. Which Google Cloud service should be used?<\/b><\/p>\n

1)<\/b> Cloud Storage<\/span>
\n<\/span>2)<\/b> Cloud SQL<\/span>
\n<\/span>3)<\/b> Compute Engine<\/span>
\n<\/span>4)<\/b> Cloud Spanner<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Storage is Google Cloud’s object storage service and is designed for storing unstructured data such as images, videos, documents, backups, logs, and application-generated files. Data is organized into buckets and objects rather than traditional file-system directories. Cloud Storage provides different storage classes that can be selected according to access frequency and retention requirements. Cloud SQL is intended for relational databases, Compute Engine provides virtual machines, and Cloud Spanner is a globally scalable relational database. For applications that need durable and scalable storage for large collections of objects, Cloud Storage is generally an appropriate choice.<\/span><\/p>\n

Q3. Which Google Cloud service is designed to run containerized applications without requiring users to manage the underlying infrastructure?<\/b><\/p>\n

1)<\/b> Compute Engine<\/span>
\n<\/span>2)<\/b> Cloud Storage<\/span>
\n<\/span>3)<\/b> Cloud Run<\/span>
\n<\/span>4)<\/b> Cloud SQL<\/span><\/p>\n

Correct Answer: 3)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Run is a fully managed service designed to run containerized applications without requiring users to manage virtual machines or Kubernetes clusters. Developers deploy a container image, and Google Cloud handles the underlying infrastructure and automatically scales the application according to demand. Cloud Run is well suited for HTTP services, APIs, web applications, and event-driven workloads packaged as containers. Compute Engine requires virtual machine management, while Cloud Storage and Cloud SQL provide storage and database capabilities rather than container execution. Cloud Run can help organizations simplify deployment when they want container flexibility without managing the underlying compute infrastructure.<\/span><\/p>\n

Q4. An administrator needs to create a private network in Google Cloud containing custom IP ranges and subnets. Which service should be configured?<\/b><\/p>\n

1)<\/b> Cloud DNS<\/span>
\n<\/span>2)<\/b> Cloud Load Balancing<\/span>
\n<\/span>3)<\/b> Virtual Private Cloud<\/span>
\n<\/span>4)<\/b> Cloud Storage<\/span><\/p>\n

Correct Answer: 3)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Google Cloud Virtual Private Cloud, or VPC, provides networking capabilities for resources running in Google Cloud. A VPC network can contain subnets with defined IP ranges, firewall rules, routes, and other networking configurations. Administrators can use custom-mode VPC networks when they need precise control over subnet ranges and locations. Cloud DNS provides DNS services, Cloud Load Balancing distributes traffic, and Cloud Storage handles object storage. VPC networking is fundamental for securely connecting Compute Engine instances, managed services, and other cloud resources. Proper VPC design helps organizations control connectivity and separate workloads according to networking and security requirements.<\/span><\/p>\n

Q5. Which Google Cloud feature should be used to control inbound and outbound traffic for Compute Engine virtual machine instances?<\/b><\/p>\n

1)<\/b> Firewall rules<\/span>
\n<\/span>2)<\/b> Cloud Storage buckets<\/span>
\n<\/span>3)<\/b> BigQuery datasets<\/span>
\n<\/span>4)<\/b> Cloud Scheduler jobs<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

VPC firewall rules control network traffic to and from resources such as Compute Engine virtual machines. Rules can allow or deny traffic based on criteria including direction, protocol, port, source, destination, and target resources. Administrators can use network tags or service accounts to identify which instances a rule applies to. Firewall configuration is an important part of securing workloads because unnecessary ports and traffic sources should not be exposed. Cloud Storage, BigQuery, and Cloud Scheduler serve different purposes. When an administrator needs to restrict network connectivity for Compute Engine instances, VPC firewall rules are the appropriate mechanism.<\/span><\/p>\n

Q6. A workload requires a managed relational database using MySQL or PostgreSQL. Which Google Cloud service is most appropriate?<\/b><\/p>\n

1)<\/b> Bigtable<\/span>
\n<\/span>2)<\/b> Cloud SQL<\/span>
\n<\/span>3)<\/b> Cloud Storage<\/span>
\n<\/span>4)<\/b> Pub\/Sub<\/span><\/p>\n

Correct Answer: 2)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud SQL is a fully managed relational database service supporting database engines such as MySQL, PostgreSQL, and SQL Server. Google Cloud manages many operational tasks, including infrastructure provisioning, backups, updates, and availability-related capabilities. This makes Cloud SQL useful for applications that require traditional relational database features without requiring administrators to manage database servers manually. Bigtable is designed for large-scale NoSQL workloads, Cloud Storage provides object storage, and Pub\/Sub provides asynchronous messaging. When an application depends on a conventional relational database engine and needs a managed service, Cloud SQL is generally an appropriate choice.<\/span><\/p>\n

Q7. Which Google Cloud service is designed for large-scale analytical queries over structured and semi-structured datasets?<\/b><\/p>\n

1)<\/b> Compute Engine<\/span>
\n<\/span>2)<\/b> Cloud Run<\/span>
\n<\/span>3)<\/b> BigQuery<\/span>
\n<\/span>4)<\/b> Cloud DNS<\/span><\/p>\n

Correct Answer: 3)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

BigQuery is Google Cloud’s serverless data warehouse and analytics platform. It is designed to process large datasets using SQL without requiring administrators to provision or manage traditional database servers. Organizations can use BigQuery for reporting, data exploration, aggregation, and large-scale analytical workloads. Its separation of storage and compute allows analytical processing to scale according to workload requirements. Compute Engine provides virtual machines, Cloud Run executes containers, and Cloud DNS manages DNS records. For a scenario involving complex analytical queries across large datasets, BigQuery is generally more suitable than an operational relational database or virtual machine-based solution.<\/span><\/p>\n

Q8. An application needs asynchronous messaging so that producers and consumers do not need to communicate directly at the same time. Which service should be used?<\/b><\/p>\n

1)<\/b> Cloud Pub\/Sub<\/span>
\n<\/span>2)<\/b> Cloud Storage<\/span>
\n<\/span>3)<\/b> Cloud SQL<\/span>
\n<\/span>4)<\/b> Compute Engine<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Pub\/Sub provides asynchronous messaging that allows applications to exchange events and messages without requiring the producer and consumer to communicate directly at the same time. Publishers send messages to topics, while subscribers receive messages through subscriptions. This architecture helps decouple application components and can improve scalability and resilience. Pub\/Sub is commonly used for event-driven applications, data pipelines, notifications, and integration between independent services. Cloud Storage is intended for object storage, Cloud SQL provides relational databases, and Compute Engine provides virtual machines. When an application requires loosely coupled asynchronous communication, Pub\/Sub is a strong choice.<\/span><\/p>\n

Q9. Which Google Cloud service provides DNS resolution and management for domain names?<\/b><\/p>\n

1)<\/b> Cloud Monitoring<\/span>
\n<\/span>2)<\/b> Cloud DNS<\/span>
\n<\/span>3)<\/b> Cloud Logging<\/span>
\n<\/span>4)<\/b> Cloud Build<\/span><\/p>\n

Correct Answer: 2)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud DNS is Google’s managed DNS service for hosting and managing DNS zones and records. Organizations can use it to configure records such as A, AAAA, CNAME, MX, and TXT records for their domains. The service provides highly available DNS infrastructure without requiring administrators to operate their own DNS servers. Cloud Monitoring focuses on metrics and monitoring, Cloud Logging collects and analyzes logs, and Cloud Build provides build automation. Cloud DNS is therefore the appropriate service when an organization needs to manage domain name resolution and direct users or applications to the appropriate endpoints.<\/span><\/p>\n

Q10. A company wants to monitor CPU utilization and create alerts when a Compute Engine instance exceeds a defined threshold. Which service should be used?<\/b><\/p>\n

1)<\/b> Cloud Storage<\/span>
\n<\/span>2)<\/b> Cloud Monitoring<\/span>
\n<\/span>3)<\/b> Cloud Pub\/Sub<\/span>
\n<\/span>4)<\/b> Cloud Scheduler<\/span><\/p>\n

Correct Answer: 2)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Monitoring collects metrics from Google Cloud resources and applications and provides dashboards, charts, alerting policies, and other observability capabilities. An administrator can create an alerting policy that evaluates a metric such as Compute Engine CPU utilization and sends a notification when the configured condition is met. This helps teams detect performance problems and respond before they significantly affect users. Cloud Logging focuses primarily on log data, while Cloud Storage, Pub\/Sub, and Cloud Scheduler address storage, messaging, and scheduled execution. For monitoring resource metrics and creating threshold-based alerts, Cloud Monitoring is the appropriate service.<\/span><\/p>\n

Q11. Which Google Cloud service should be used to collect, search, and analyze application and infrastructure log entries?<\/b><\/p>\n

1)<\/b> Cloud Logging<\/span>
\n<\/span>2)<\/b> Cloud DNS<\/span>
\n<\/span>3)<\/b> Cloud Run<\/span>
\n<\/span>4)<\/b> Cloud SQL<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Logging is a centralized logging service that collects log entries from Google Cloud resources, applications, and supported external environments. Administrators can search and filter logs, investigate application behavior, create log-based metrics, and configure log routing. Centralized logging is useful for troubleshooting, security investigations, operational monitoring, and auditing. Cloud Monitoring focuses primarily on metrics and alerting, while Cloud DNS, Cloud Run, and Cloud SQL provide networking, application hosting, and database services. When an administrator needs to inspect application or infrastructure logs from a centralized interface, Cloud Logging provides the required capabilities.<\/span><\/p>\n

Q12. An organization needs to grant a user permission to manage Compute Engine instances but not modify Cloud Storage buckets. Which Google Cloud mechanism should be used?<\/b><\/p>\n

1)<\/b> Cloud Storage lifecycle rules<\/span>
\n<\/span>2)<\/b> IAM roles<\/span>
\n<\/span>3)<\/b> VPC routes<\/span>
\n<\/span>4)<\/b> Cloud DNS policies<\/span><\/p>\n

Correct Answer: 2)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Google Cloud Identity and Access Management, or IAM, controls who can access resources and what actions they can perform. IAM roles contain permissions and can be granted to users, groups, or service accounts at appropriate resource levels. For example, an administrator can grant a user a Compute Engine-related role without granting permissions to manage Cloud Storage buckets. This supports the principle of least privilege by providing only the access required for a user’s responsibilities. VPC routes and DNS policies manage networking behavior, while lifecycle rules manage stored objects. IAM is therefore the appropriate mechanism for controlling resource-level permissions.<\/span><\/p>\n

Q13. A Compute Engine virtual machine needs to access Google Cloud APIs without storing a long-lived service account key on the VM. What should be used?<\/b><\/p>\n

1)<\/b> Service account attached to the VM<\/span>
\n<\/span>2)<\/b> Public IP address<\/span>
\n<\/span>3)<\/b> Cloud Storage signed URL<\/span>
\n<\/span>4)<\/b> DNS record<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

A service account can be attached to a Compute Engine virtual machine so that applications running on the VM can authenticate to Google Cloud APIs without storing long-lived service account key files. The service account should receive only the IAM roles and permissions required by the workload. This approach is generally safer and easier to manage than distributing permanent credentials to application servers. When the VM requests access to supported Google Cloud services, the workload can use the attached service account identity. Public IP addresses, signed URLs, and DNS records solve different networking or resource-access problems and do not replace VM service account identity.<\/span><\/p>\n

Q14. Which Google Cloud service provides object versioning and storage classes for data stored as objects?<\/b><\/p>\n

1)<\/b> Cloud Storage<\/span>
\n<\/span>2)<\/b> Compute Engine<\/span>
\n<\/span>3)<\/b> Cloud SQL<\/span>
\n<\/span>4)<\/b> Cloud Functions<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Storage provides object storage capabilities including storage classes and optional object versioning. Storage classes can be selected according to how frequently data is accessed and how long it needs to be retained. Object Versioning can preserve older versions of objects when they are replaced or deleted, supporting recovery from accidental changes. Cloud Storage is suitable for files, backups, media, archives, and other unstructured data. Compute Engine provides virtual machines, Cloud SQL provides relational databases, and Cloud Functions executes serverless code. When requirements involve durable object storage with lifecycle and version-management capabilities, Cloud Storage is the appropriate service.<\/span><\/p>\n

Q15. A company needs to automatically create and manage multiple identical Compute Engine VMs that can scale based on demand. Which feature should be used?<\/b><\/p>\n

1)<\/b> Cloud Storage bucket<\/span>
\n<\/span>2)<\/b> Managed instance group<\/span>
\n<\/span>3)<\/b> Cloud DNS zone<\/span>
\n<\/span>4)<\/b> BigQuery dataset<\/span><\/p>\n

Correct Answer: 2)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

A managed instance group, or MIG, allows administrators to create and manage a group of Compute Engine virtual machines based on an instance template. Because instances are managed as a group, organizations can use autoscaling, automatic repair, rolling updates, and load balancing capabilities. This makes MIGs useful for applications that require multiple identical instances and need to respond to changing traffic levels. An instance template defines the configuration used to create instances consistently. Cloud Storage, Cloud DNS, and BigQuery do not provide Compute Engine instance-group management. Managed instance groups are therefore appropriate for scalable and resilient VM-based applications.<\/span><\/p>\n

Q16. Which Google Cloud service can distribute incoming HTTP(S) traffic across multiple backend instances or services?<\/b><\/p>\n

1)<\/b> Cloud Load Balancing<\/span>
\n<\/span>2)<\/b> Cloud Storage<\/span>
\n<\/span>3)<\/b> Cloud Scheduler<\/span>
\n<\/span>4)<\/b> Cloud Logging<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Load Balancing distributes incoming application traffic across available backend resources. Depending on the load balancer type and architecture, traffic can be distributed across Compute Engine instances, managed instance groups, or other supported backends. Load balancing can improve availability, scalability, and application responsiveness by preventing a single backend from handling all requests. Cloud Storage is an object storage service, Cloud Scheduler runs scheduled jobs, and Cloud Logging manages log data. For applications that need traffic distribution across multiple backend resources, Google Cloud Load Balancing provides the appropriate networking capability.<\/span><\/p>\n

Q17. An administrator wants to schedule a recurring task that sends an HTTP request to an application every day at midnight. Which Google Cloud service should be used?<\/b><\/p>\n

1)<\/b> Cloud Scheduler<\/span>
\n<\/span>2)<\/b> Cloud Storage<\/span>
\n<\/span>3)<\/b> Cloud Monitoring<\/span>
\n<\/span>4)<\/b> Bigtable<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Scheduler is a fully managed service for running scheduled jobs according to defined schedules. It can invoke supported targets such as HTTP endpoints, Pub\/Sub topics, and other Google Cloud services. In this scenario, a daily midnight schedule can be configured to send an HTTP request to the application. Cloud Scheduler is useful for recurring operational tasks, periodic processing, maintenance operations, and application workflows. Cloud Monitoring handles observability, Cloud Storage provides object storage, and Bigtable provides NoSQL data storage. When the main requirement is executing a task at a defined time or recurring interval, Cloud Scheduler is the appropriate service.<\/span><\/p>\n

Q18. Which Google Cloud service provides a globally distributed NoSQL database designed for very large-scale workloads with low-latency access?<\/b><\/p>\n

1)<\/b> Cloud SQL<\/span>
\n<\/span>2)<\/b> Cloud Storage<\/span>
\n<\/span>3)<\/b> Cloud Bigtable<\/span>
\n<\/span>4)<\/b> Cloud DNS<\/span><\/p>\n

Correct Answer: 3)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Bigtable is a fully managed NoSQL database designed for large-scale, low-latency workloads. It is commonly used for applications involving very large datasets and high-throughput access patterns, including time-series data, operational analytics, and other workloads that require scalable key-value or wide-column storage. Cloud SQL is a managed relational database, Cloud Storage provides object storage, and Cloud DNS manages domain name resolution. Bigtable is especially useful when an application requires high scalability and predictable low-latency access to large volumes of structured data rather than traditional relational database capabilities.<\/span><\/p>\n

Q19. A developer wants to deploy source code and have Google Cloud automatically build a container image as part of a CI\/CD workflow. Which service should be considered?<\/b><\/p>\n

1)<\/b> Cloud Build<\/span>
\n<\/span>2)<\/b> Cloud DNS<\/span>
\n<\/span>3)<\/b> Cloud Storage<\/span>
\n<\/span>4)<\/b> Cloud Monitoring<\/span><\/p>\n

Correct Answer: 1)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Cloud Build is a managed service for executing build and CI\/CD workflows. It can retrieve source code from supported repositories or other sources, execute build steps, create container images, run tests, and publish artifacts to appropriate destinations. Build configurations can define the sequence of commands and tools used during the process. This allows development teams to automate software delivery rather than manually building application artifacts. Cloud DNS manages DNS, Cloud Storage manages objects, and Cloud Monitoring provides observability. For an automated workflow that needs to build container images from application source code, Cloud Build is an appropriate Google Cloud service.<\/span><\/p>\n

Q20. An organization wants to ensure that a Compute Engine VM can be recreated automatically if it becomes unhealthy. Which feature of a managed instance group supports this requirement?<\/b><\/p>\n

1)<\/b> Cloud DNS<\/span>
\n<\/span>2)<\/b> Automatic repair<\/span>
\n<\/span>3)<\/b> Cloud Storage versioning<\/span>
\n<\/span>4)<\/b> BigQuery partitioning<\/span><\/p>\n

Correct Answer: 2)<\/b><\/p>\n

Explanation:<\/b><\/p>\n

Managed instance groups support automatic repair, which can detect unhealthy instances using configured health checks and recreate them when necessary. This capability improves application availability by replacing instances that fail health checks rather than requiring administrators to repair them manually. Automatic repair works with instance templates and health-check configuration to maintain the desired group state. Cloud DNS, Cloud Storage versioning, and BigQuery partitioning address unrelated requirements. Automatic repair is particularly valuable for applications running on multiple Compute Engine instances because it helps maintain the expected number of healthy instances and reduces operational intervention when individual VMs become unhealthy.<\/span><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

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