{"id":16987,"date":"2026-09-21T05:50:15","date_gmt":"2026-09-21T05:50:15","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=16987"},"modified":"2026-09-21T05:50:15","modified_gmt":"2026-09-21T05:50:15","slug":"google-professional-cloud-architect-practice-test-questions-and-exam-dumps-part4-q61-80","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/google-professional-cloud-architect-practice-test-questions-and-exam-dumps-part4-q61-80\/","title":{"rendered":"Google Professional Cloud Architect Practice Test Questions and Exam Dumps Part4 Q61-80"},"content":{"rendered":"

View Full <\/b>Google Professional Cloud Architect Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 61<\/b><\/h3>\n

A company wants to automatically deploy infrastructure using version-controlled configuration files. Which approach is most appropriate?<\/b><\/p>\n

    \n
  1. Infrastructure as Code<\/span><\/li>\n
  2. Manual console configuration<\/span><\/li>\n
  3. Spreadsheet-based resource tracking<\/span><\/li>\n
  4. Ad hoc SSH commands<\/span><\/li>\n<\/ol>\n

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

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

    Infrastructure as Code (IaC) defines infrastructure resources through machine-readable configuration files that can be stored in version control. This approach improves repeatability, consistency, reviewability, and automation when creating or modifying cloud environments. Teams can review infrastructure changes before deployment and maintain a history of configuration changes. Manual console changes and ad hoc commands are harder to reproduce consistently, while spreadsheets do not actually provision resources. Therefore, Infrastructure as Code is the appropriate approach for managing cloud infrastructure through version-controlled definitions.<\/span><\/p>\n

    Question 62<\/b><\/h3>\n

    Which Google Cloud service is designed to manage container images and other software artifacts?<\/b><\/p>\n

      \n
    1. Cloud Build<\/span><\/li>\n
    2. Artifact Registry<\/span><\/li>\n
    3. Cloud Deploy<\/span><\/li>\n
    4. Cloud Scheduler<\/span><\/li>\n<\/ol>\n

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

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

      Artifact Registry provides managed repositories for storing and managing software artifacts such as container images and language-specific packages. It integrates with Google Cloud deployment and build services, allowing organizations to maintain artifacts in centralized repositories with controlled access. Cloud Build creates builds, Cloud Deploy manages application delivery, and Cloud Scheduler executes jobs according to schedules. Therefore, Artifact Registry is the appropriate service when an organization needs a managed repository for container images or other software artifacts.<\/span><\/p>\n

      Question 63<\/b><\/h3>\n

      A production application requires automatic failover between healthy application instances. Which capability should the architect configure?<\/b><\/p>\n

        \n
      1. Health checks<\/span><\/li>\n
      2. Cloud Storage lifecycle rules<\/span><\/li>\n
      3. IAM custom roles<\/span><\/li>\n
      4. Cloud KMS keys<\/span><\/li>\n<\/ol>\n

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

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

        Health checks allow Google Cloud traffic-management services to determine whether backend instances or endpoints are available to receive traffic. When an unhealthy backend fails its configured health check, supported load-balancing architectures can stop directing new requests to that backend and route traffic to healthy alternatives. This improves application availability and helps prevent users from being sent to failed instances. Storage lifecycle rules manage objects, IAM roles manage authorization, and Cloud KMS manages cryptographic keys. Therefore, health checks are an essential capability for automatic backend failover.<\/span><\/p>\n

        Question 64<\/b><\/h3>\n

        A company has strict regulatory requirements and wants encryption keys to remain under its own control while using Google Cloud services. Which capability should the architect evaluate?<\/b><\/p>\n

          \n
        1. Customer-managed encryption keys<\/span><\/li>\n
        2. Public IP addresses<\/span><\/li>\n
        3. Cloud CDN caching<\/span><\/li>\n
        4. Anonymous access<\/span><\/li>\n<\/ol>\n

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

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

          Customer-managed encryption keys allow an organization to create and control encryption keys through Cloud KMS rather than relying exclusively on Google-managed keys. This can provide additional control over key lifecycle, rotation, access permissions, and revocation. Organizations with regulatory or governance requirements may use customer-managed keys when they need greater control over how encryption is administered. Public IP addresses, CDN caching, and anonymous access do not provide encryption-key governance. Therefore, customer-managed encryption keys should be evaluated when regulatory requirements demand stronger organizational control over encryption keys.<\/span><\/p>\n

          Question 65<\/b><\/h3>\n

          Which Google Cloud service helps protect sensitive data by discovering and classifying information such as personally identifiable information?<\/b><\/p>\n

            \n
          1. Sensitive Data Protection<\/span><\/li>\n
          2. Cloud Scheduler<\/span><\/li>\n
          3. Cloud Build<\/span><\/li>\n
          4. Cloud Router<\/span><\/li>\n<\/ol>\n

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

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

            Sensitive Data Protection helps organizations discover, classify, and protect sensitive information in supported data sources. It can identify types of sensitive information, including personally identifiable information, according to configured inspection and classification capabilities. This can help organizations understand where sensitive data exists and apply appropriate protection or governance controls. Cloud Scheduler manages scheduled jobs, Cloud Build automates builds, and Cloud Router handles dynamic routing. Therefore, Sensitive Data Protection is the appropriate service for discovering and classifying sensitive information.<\/span><\/p>\n

            Question 66<\/b><\/h3>\n

            An organization needs to deploy a new application version gradually and reduce the risk of releasing it to all users at once. Which deployment strategy should be considered?<\/b><\/p>\n

              \n
            1. Blue-green deployment<\/span><\/li>\n
            2. Canary deployment<\/span><\/li>\n
            3. Single-instance deployment<\/span><\/li>\n
            4. Manual database deployment<\/span><\/li>\n<\/ol>\n

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

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

              Canary deployment gradually introduces a new application version to a small portion of users or traffic before expanding the rollout. The team can monitor performance and error rates and increase traffic to the new version if it behaves as expected. This reduces the potential impact of defects compared with immediately directing all users to the new release. Blue-green deployment uses two separate environments and switches traffic between them, while single-instance and manual approaches do not provide the same gradual rollout mechanism. Therefore, canary deployment is appropriate for controlled incremental releases.<\/span><\/p>\n

              Question 67<\/b><\/h3>\n

              Which Google Cloud service provides managed continuous delivery for applications running on Google Cloud and other supported environments?<\/b><\/p>\n

                \n
              1. Cloud Deploy<\/span><\/li>\n
              2. Cloud DNS<\/span><\/li>\n
              3. Cloud Logging<\/span><\/li>\n
              4. Cloud Storage<\/span><\/li>\n<\/ol>\n

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

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

                Cloud Deploy is a managed continuous delivery service that helps automate application releases through defined delivery pipelines and target environments. It can support controlled progression of application versions through stages such as development, testing, and production. This helps teams establish repeatable deployment processes and reduce manual release work. Cloud DNS manages DNS records, Cloud Logging handles logs, and Cloud Storage provides object storage. Therefore, Cloud Deploy is the appropriate service when an organization needs managed continuous delivery and structured application promotion.<\/span><\/p>\n

                Question 68<\/b><\/h3>\n

                A company wants to analyze application logs for errors and create a metric based on matching log entries. Which capability should be used?<\/b><\/p>\n

                  \n
                1. Log-based metrics<\/span><\/li>\n
                2. Cloud Storage lifecycle rules<\/span><\/li>\n
                3. VPC peering<\/span><\/li>\n
                4. Cloud NAT<\/span><\/li>\n<\/ol>\n

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

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

                  Log-based metrics derive quantitative metrics from log entries that match specified criteria. They can be useful when application events are recorded in logs but no direct monitoring metric exists for a particular condition. For example, a team can create a metric based on the number of log entries representing application errors and then use that metric for monitoring or alerting. Storage lifecycle rules manage objects, VPC peering provides private network connectivity, and Cloud NAT supports outbound connections. Therefore, log-based metrics are appropriate for converting relevant log events into measurable monitoring data.<\/span><\/p>\n

                  Question 69<\/b><\/h3>\n

                  Which architecture is most appropriate for an application that must continue operating when individual VM instances fail?<\/b><\/p>\n

                    \n
                  1. Single VM with no backup<\/span><\/li>\n
                  2. Multiple instances behind a load balancer<\/span><\/li>\n
                  3. One VM with a larger machine type<\/span><\/li>\n
                  4. Local SSD as the only storage<\/span><\/li>\n<\/ol>\n

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

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

                    Deploying multiple application instances behind a load balancer removes dependence on a single VM. If one instance becomes unavailable, the load balancer can direct new requests to healthy instances, helping maintain application availability. This architecture also provides a foundation for scaling application capacity as demand changes. A larger single VM remains a single point of failure, while local SSD does not provide application-level redundancy. Therefore, multiple instances behind a load balancer are the appropriate architecture when individual VM failures must not interrupt service.<\/span><\/p>\n

                    Question 70<\/b><\/h3>\n

                    A team needs to run a containerized batch job that starts, processes data, and then terminates. The job does not require a persistent server. Which service should be considered?<\/b><\/p>\n

                      \n
                    1. Cloud Run jobs<\/span><\/li>\n
                    2. Cloud SQL<\/span><\/li>\n
                    3. Cloud DNS<\/span><\/li>\n
                    4. Filestore<\/span><\/li>\n<\/ol>\n

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

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

                      Cloud Run jobs are designed for containerized workloads that perform tasks and terminate after completion rather than continuously serving HTTP requests. They are suitable for batch processing, scheduled jobs, data transformations, and other finite workloads. The underlying infrastructure is managed by Google Cloud, reducing the operational effort associated with maintaining servers. Cloud SQL provides relational databases, Cloud DNS manages DNS, and Filestore provides shared file storage. Therefore, Cloud Run jobs should be considered when a containerized task needs to execute and terminate without a persistent server.<\/span><\/p>\n

                      Question 71<\/b><\/h3>\n

                      Which Google Cloud feature provides a private IP-based connection between services using Google’s internal network?<\/b><\/p>\n

                        \n
                      1. Internal IP addressing<\/span><\/li>\n
                      2. Public DNS only<\/span><\/li>\n
                      3. External HTTP endpoint<\/span><\/li>\n
                      4. Internet proxy<\/span><\/li>\n<\/ol>\n

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

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

                        Internal IP addressing enables resources within appropriate Google Cloud networking configurations to communicate privately using internal addresses. This allows applications to communicate without exposing every backend service through public IP addresses. Private communication can reduce external exposure and simplify network security design. Public DNS and external HTTP endpoints are commonly associated with publicly reachable services, while an internet proxy does not inherently provide private internal communication. Therefore, internal IP addressing is the appropriate networking capability when services need private communication over Google’s internal network.<\/span><\/p>\n

                        Question 72<\/b><\/h3>\n

                        A company wants to enforce organization-wide restrictions, such as limiting which Google Cloud regions can be used. Which capability should be considered?<\/b><\/p>\n

                          \n
                        1. Organization Policy Service<\/span><\/li>\n
                        2. Cloud Scheduler<\/span><\/li>\n
                        3. Pub\/Sub<\/span><\/li>\n
                        4. Cloud Trace<\/span><\/li>\n<\/ol>\n

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

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

                          Organization Policy Service allows administrators to define constraints that govern how resources can be configured across an organization, folder, or project hierarchy. Policies can be used to enforce organizational requirements such as restricting resource locations, controlling allowed configurations, or limiting certain services and behaviors. This provides centralized governance beyond individual IAM permissions. Cloud Scheduler handles scheduled tasks, Pub\/Sub provides messaging, and Cloud Trace supports application tracing. Therefore, Organization Policy Service should be considered when an organization needs centralized policy-based restrictions across its cloud environment.<\/span><\/p>\n

                          Question 73<\/b><\/h3>\n

                          A company wants to make sure a critical workload has a copy of its data available in another location for disaster recovery. Which strategy should be implemented?<\/b><\/p>\n

                            \n
                          1. Data replication or backup to a separate location<\/span><\/li>\n
                          2. Store the only copy on a VM boot disk<\/span><\/li>\n
                          3. Disable automated backups<\/span><\/li>\n
                          4. Keep backups on the same failed disk<\/span><\/li>\n<\/ol>\n

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

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

                            Maintaining a backup or replicated copy in a separate location improves resilience against failures affecting the primary environment. Depending on recovery objectives, organizations can use appropriate Google Cloud backup, replication, or storage capabilities and place copies in another zone, region, or suitable location. Keeping the only copy on the same disk or infrastructure does not protect against failures affecting that location. Disabling backups removes an important recovery mechanism. Therefore, maintaining a separate backup or replicated copy is an appropriate disaster-recovery strategy.<\/span><\/p>\n

                            Question 74<\/b><\/h3>\n

                            Which Google Cloud service can provide a centralized audit trail of administrative and data-access activities?<\/b><\/p>\n

                              \n
                            1. Cloud Audit Logs<\/span><\/li>\n
                            2. Cloud Run<\/span><\/li>\n
                            3. Bigtable<\/span><\/li>\n
                            4. Cloud CDN<\/span><\/li>\n<\/ol>\n

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

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

                              Cloud Audit Logs records activities associated with Google Cloud resources and can provide visibility into administrative actions and, where applicable, data-access activity. Audit information is useful for security investigations, compliance requirements, operational troubleshooting, and accountability. Organizations can use the logs to determine which identity performed an action and when the activity occurred, subject to the applicable logging configuration and log type. Cloud Run provides application execution, Bigtable is a database, and Cloud CDN handles content delivery. Therefore, Cloud Audit Logs is the appropriate service for maintaining an audit trail.<\/span><\/p>\n

                              Question 75<\/b><\/h3>\n

                              A workload must process millions of independent tasks concurrently. Which scaling approach is generally more suitable?<\/b><\/p>\n

                                \n
                              1. Vertical scaling only<\/span><\/li>\n
                              2. Horizontal scaling<\/span><\/li>\n
                              3. Disable autoscaling<\/span><\/li>\n
                              4. Use one oversized VM<\/span><\/li>\n<\/ol>\n

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

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

                                Horizontal scaling increases capacity by adding more instances or workers rather than relying on a single larger machine. It is particularly effective for workloads that can be divided into independent tasks and processed concurrently. By distributing work across multiple workers, the system can increase throughput and potentially continue operating if individual workers fail. Vertical scaling increases the size of an existing machine and may eventually encounter hardware limits. Therefore, horizontal scaling is generally the more suitable approach for processing millions of independent tasks concurrently.<\/span><\/p>\n

                                Question 76<\/b><\/h3>\n

                                Which Google Cloud service can provide a managed relational database with automatic horizontal scaling for demanding transactional workloads?<\/b><\/p>\n

                                  \n
                                1. Cloud Spanner<\/span><\/li>\n
                                2. Cloud Storage<\/span><\/li>\n
                                3. Memorystore<\/span><\/li>\n
                                4. Pub\/Sub<\/span><\/li>\n<\/ol>\n

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

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

                                  Cloud Spanner is a managed relational database designed for high-scale transactional workloads requiring horizontal scalability and strong consistency. It combines relational database features with distributed architecture, making it suitable for applications that need to grow beyond the scaling characteristics of a traditional single-instance relational database. Cloud Storage provides object storage, Memorystore provides caching, and Pub\/Sub handles asynchronous messaging. Therefore, Cloud Spanner is the appropriate service when demanding transactional workloads require a scalable distributed relational database.<\/span><\/p>\n

                                  Question 77<\/b><\/h3>\n

                                  A company wants to inspect whether its application is experiencing increased request latency. Which observability signal should the team examine first?<\/b><\/p>\n

                                    \n
                                  1. Metrics<\/span><\/li>\n
                                  2. IAM roles<\/span><\/li>\n
                                  3. Storage classes<\/span><\/li>\n
                                  4. DNS zones<\/span><\/li>\n<\/ol>\n

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

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

                                    Metrics provide quantitative measurements such as request latency, error rates, CPU utilization, and throughput. They are often the most direct observability signal for identifying whether an application is experiencing increased latency over time. A team can use monitoring dashboards and alerting policies to observe trends and identify thresholds that require investigation. IAM roles control authorization, storage classes manage object-storage characteristics, and DNS zones manage name resolution. Therefore, application performance metrics should be examined first when investigating an increase in request latency.<\/span><\/p>\n

                                    Question 78<\/b><\/h3>\n

                                    A company needs to move an existing application to Google Cloud with minimal changes while continuing to run it on virtual machines. Which migration strategy is this?<\/b><\/p>\n

                                      \n
                                    1. Rehost<\/span><\/li>\n
                                    2. Refactor<\/span><\/li>\n
                                    3. Retire<\/span><\/li>\n
                                    4. Rebuild<\/span><\/li>\n<\/ol>\n

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

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

                                      Rehosting, often called lift and shift, involves moving an existing workload to a new infrastructure environment with minimal application modification. For example, an application running on physical servers or another cloud platform can be migrated to Google Compute Engine while largely preserving its existing architecture. Refactoring involves making more substantial changes to take advantage of cloud-native capabilities, while rebuilding generally involves creating a new implementation. Retiring means removing an application that is no longer needed. Therefore, rehost is the migration strategy that minimizes application changes.<\/span><\/p>\n

                                      Question 79<\/b><\/h3>\n

                                      Which service can help automatically rotate secrets without requiring applications to store permanent credential values?<\/b><\/p>\n

                                        \n
                                      1. Secret Manager<\/span><\/li>\n
                                      2. Cloud DNS<\/span><\/li>\n
                                      3. Cloud Scheduler only<\/span><\/li>\n
                                      4. Cloud CDN<\/span><\/li>\n<\/ol>\n

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

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

                                        Secret Manager provides centralized management of sensitive values and supports secret versions, allowing applications to retrieve current secret values without embedding permanent credentials directly in source code. Secret rotation can be implemented through versioning and appropriate automation, depending on the credential type and application architecture. This approach helps reduce the exposure of long-lived credentials and supports better secret lifecycle management. Cloud DNS and Cloud CDN provide networking and content-delivery capabilities, while Cloud Scheduler alone is not a secret-management system. Therefore, Secret Manager is the appropriate service.<\/span><\/p>\n

                                        Question 80<\/b><\/h3>\n

                                        A startup wants to minimize infrastructure management for a simple web API and pay primarily for the resources used while requests are being processed. Which option is most aligned with this requirement?<\/b><\/p>\n

                                          \n
                                        1. Compute Engine with permanently running VMs<\/span><\/li>\n
                                        2. Cloud Run<\/span><\/li>\n
                                        3. Bare Metal Solution<\/span><\/li>\n
                                        4. Dedicated physical servers<\/span><\/li>\n<\/ol>\n

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

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

                                          Cloud Run is well suited to stateless web APIs where the organization wants minimal infrastructure management and automatic scaling based on request activity. The platform manages the underlying compute infrastructure, allowing developers to focus on the application container. It can scale services according to demand, including scaling down when there is little or no traffic, subject to configuration and applicable billing behavior. Compute Engine and dedicated physical infrastructure require more operational management. Therefore, Cloud Run is the option most aligned with a simple API requiring a highly managed serverless execution environment.<\/span><\/p>\n

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

                                          View Full Google Professional Cloud Architect Exam Dumps and Practice Test Dumps.   Question 61 A company wants to automatically deploy infrastructure using version-controlled configuration files. Which approach is most appropriate? Infrastructure as Code Manual console configuration Spreadsheet-based resource tracking Ad hoc SSH commands Correct Answer: 1 Explanation Infrastructure as Code (IaC) defines infrastructure resources […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16987"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=16987"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16987\/revisions"}],"predecessor-version":[{"id":16988,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16987\/revisions\/16988"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=16987"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=16987"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=16987"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}