{"id":16983,"date":"2026-09-21T05:48:31","date_gmt":"2026-09-21T05:48:31","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=16983"},"modified":"2026-09-21T05:48:31","modified_gmt":"2026-09-21T05:48:31","slug":"google-professional-cloud-architect-practice-test-questions-and-exam-dumps-part2-q21-40","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/google-professional-cloud-architect-practice-test-questions-and-exam-dumps-part2-q21-40\/","title":{"rendered":"Google Professional Cloud Architect Practice Test Questions and Exam Dumps Part2 Q21-40"},"content":{"rendered":"<h2><b>View Full <\/b><a href=\"https:\/\/www.examlabs.com\/professional-cloud-architect-exam-dumps\"><b>Google Professional Cloud Architect Exam Dumps<\/b><\/a><b> and Practice Test Dumps.<\/b><\/h2>\n<p>&nbsp;<\/p>\n<h3><b>Question 21<\/b><\/h3>\n<p><b>Which Google Cloud service provides centralized monitoring of metrics, dashboards, and alerts for applications and infrastructure?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Monitoring<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Build<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Scheduler<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Monitoring collects and presents metrics from Google Cloud resources and supported applications. It provides dashboards, alerting policies, and other observability capabilities that help teams understand system health and detect operational problems. Cloud Build automates software builds, Cloud Storage provides object storage, and Cloud Scheduler triggers scheduled jobs. Monitoring is particularly useful when an architect needs visibility into resource utilization, application performance, or availability. Therefore, Cloud Monitoring is the appropriate service for centralized infrastructure and application metric monitoring.<\/span><\/p>\n<h3><b>Question 22<\/b><\/h3>\n<p><b>A company wants to connect its on-premises network to Google Cloud using a dedicated private connection instead of routing traffic over the public internet. Which solution should the architect recommend?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud VPN<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Interconnect<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud NAT<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud CDN<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Interconnect provides dedicated connectivity between an external network and Google Cloud. It is appropriate when an organization requires private, high-bandwidth connectivity and wants to avoid sending traffic across the public internet. Depending on requirements, Dedicated Interconnect or Partner Interconnect can be considered. Cloud VPN instead uses encrypted tunnels over the internet, while Cloud NAT provides outbound internet connectivity for private resources and Cloud CDN accelerates content delivery. Therefore, Cloud Interconnect is the appropriate solution for dedicated private connectivity.<\/span><\/p>\n<h3><b>Question 23<\/b><\/h3>\n<p><b>Which Google Cloud service is designed for storing and querying massive amounts of key-value data with very low latency and high scalability?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BigQuery<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud SQL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bigtable<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Firestore<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Bigtable is a fully managed NoSQL wide-column database designed for very large-scale workloads requiring high throughput and low-latency access. It is particularly suitable for time-series data, operational analytics, IoT workloads, and other applications that can use a key-value or wide-column data model. BigQuery is optimized for analytical SQL queries, Cloud SQL provides relational databases, and Firestore is a document-oriented NoSQL database. Therefore, Bigtable is the most appropriate choice for massive scalable key-value workloads requiring consistently fast access.<\/span><\/p>\n<h3><b>Question 24<\/b><\/h3>\n<p><b>What is the primary purpose of Google Cloud CDN?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To create relational database replicas<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To cache content closer to users<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To encrypt database credentials<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To schedule virtual machines<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud CDN uses Google&#8217;s global network to cache eligible content closer to users. By serving frequently requested content from locations geographically closer to clients, it can reduce latency and decrease the amount of traffic sent to the origin. This is especially useful for web applications delivering static or cacheable content to users distributed across multiple geographic locations. Cloud CDN does not provide database replication, credential management, or VM scheduling. Therefore, caching content closer to end users is its primary purpose.<\/span><\/p>\n<h3><b>Question 25<\/b><\/h3>\n<p><b>A team needs to run a batch data-processing job using managed infrastructure and does not want to maintain a cluster continuously. Which Google Cloud service can provide a serverless approach for Spark workloads?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Run<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Dataproc Serverless<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud SQL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud DNS<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Dataproc Serverless allows organizations to run Spark batch workloads without managing persistent Dataproc clusters. Google Cloud handles the underlying infrastructure required to execute the workload, making the service useful when teams need scalable data processing without maintaining cluster resources between jobs. Cloud Run is designed for containerized applications, Cloud SQL provides managed relational databases, and Cloud DNS handles domain-name resolution. Therefore, Dataproc Serverless is an appropriate choice for managed, on-demand Spark batch processing.<\/span><\/p>\n<h3><b>Question 26<\/b><\/h3>\n<p><b>A company needs a private connection between two VPC networks. Which Google Cloud networking feature can provide this connectivity without requiring traffic to traverse the public internet?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">VPC Network Peering<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud CDN<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Armor<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">VPC Network Peering connects two VPC networks so that resources in the networks can communicate using internal IP addresses. The networks remain administratively separate while gaining private connectivity through Google&#8217;s network. This can be useful when workloads in separate VPCs need direct communication without routing traffic through public endpoints. Cloud CDN handles content delivery, Cloud Armor provides edge security controls, and Cloud Storage provides object storage. Therefore, VPC Network Peering is the appropriate feature for private connectivity between VPC networks.<\/span><\/p>\n<h3><b>Question 27<\/b><\/h3>\n<p><b>Which service is most suitable for securely distributing application configuration values that are not necessarily credentials but should be centrally managed?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Config<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Runtime Configurator<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secret Manager<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Logging<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Secret Manager is designed primarily for sensitive information such as passwords, API keys, certificates, and other secrets. When configuration values contain confidential information or need controlled access, storing them centrally in Secret Manager can prevent credentials from being embedded directly in application code. Runtime Configurator was used for application configuration in earlier Google Cloud architectures but is not the current general recommendation for new solutions. Cloud Logging handles logs rather than configuration. Therefore, Secret Manager is appropriate when centrally managed configuration values contain sensitive information.<\/span><\/p>\n<h3><b>Question 28<\/b><\/h3>\n<p><b>A business wants to execute SQL queries against data stored in Cloud Storage without first loading all of it into a traditional database. Which service is appropriate?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BigQuery<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud SQL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Memorystore<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Spanner<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">BigQuery can analyze data stored in Cloud Storage through capabilities such as external tables and BigLake, depending on the data format and architecture. This allows organizations to query data without necessarily copying the entire dataset into a traditional database system. It is particularly useful for analytical workloads involving large files in object storage. Cloud SQL, Memorystore, and Cloud Spanner serve different database requirements. Therefore, BigQuery is the appropriate service when the objective is to perform SQL-based analytics over data residing in Cloud Storage.<\/span><\/p>\n<h3><b>Question 29<\/b><\/h3>\n<p><b>Which Google Cloud service can automatically detect and respond to changes in application traffic by adjusting the number of VM instances?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Scheduler<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Managed instance group autoscaler<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Functions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage lifecycle management<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A managed instance group&#8217;s autoscaler can automatically adjust the number of VM instances according to configured scaling signals. This allows applications to increase capacity during periods of high demand and reduce capacity when demand falls. Autoscaling helps improve resource efficiency while maintaining application performance when workloads fluctuate. Cloud Scheduler triggers jobs at specified times, Cloud Functions executes event-driven code, and Cloud Storage lifecycle management manages stored objects. Therefore, a managed instance group autoscaler is the appropriate solution for automatically adjusting VM capacity.<\/span><\/p>\n<h3><b>Question 30<\/b><\/h3>\n<p><b>Which Google Cloud service is a serverless platform for running event-driven code without managing virtual machines?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Run<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Compute Engine<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Functions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bare Metal Solution<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Functions is a serverless execution environment designed for running event-driven code without requiring the customer to manage virtual machines. Functions can respond to supported events such as messages, storage changes, or HTTP requests, depending on the architecture and runtime. Cloud Run is also serverless but is primarily designed around deploying containerized applications. Compute Engine requires VM management, while Bare Metal Solution provides dedicated physical infrastructure. Therefore, Cloud Functions is the appropriate service when the workload consists of event-driven functions rather than a continuously managed VM application.<\/span><\/p>\n<h3><b>Question 31<\/b><\/h3>\n<p><b>An application must remain available even if one Google Cloud region becomes unavailable. What architecture provides regional fault tolerance?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Single-zone deployment<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Multi-region deployment<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Single-region deployment with one VM<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Local disk replication only<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A multi-region architecture distributes application components across separate Google Cloud regions. If one region experiences a major outage, properly designed traffic management and application dependencies can allow users to continue accessing resources in another region. A single-zone deployment protects against neither zonal nor regional failures, and a single-region deployment remains exposed to a regional outage. Local disk replication also does not automatically provide application-level regional resilience. Therefore, deploying critical application components across multiple regions is the appropriate architecture for regional fault tolerance.<\/span><\/p>\n<h3><b>Question 32<\/b><\/h3>\n<p><b>Which Google Cloud service provides managed DNS resolution for domain names?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud DNS<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud NAT<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Armor<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Router<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud DNS is Google&#8217;s managed Domain Name System service. It provides authoritative DNS zones and records that can be used to map domain names to IP addresses and other supported resources. Because the service is managed, organizations do not need to operate their own DNS servers for supported use cases. Cloud NAT provides outbound network address translation, Cloud Armor provides application and network protection, and Cloud Router exchanges routes dynamically. Therefore, Cloud DNS is the appropriate service for managed DNS resolution and domain-name management.<\/span><\/p>\n<h3><b>Question 33<\/b><\/h3>\n<p><b>A company wants to protect an internet-facing application from common web attacks such as SQL injection and cross-site scripting. Which Google Cloud service should be considered?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Armor<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Scheduler<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Trace<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Armor provides security policies that can help protect applications and services exposed through supported Google Cloud load-balancing architectures. Its capabilities include protection against common web application attacks and support for security controls such as configurable rules and, where applicable, preconfigured protections. Cloud Scheduler is used for scheduled jobs, Cloud Trace helps analyze application latency, and Cloud Storage is an object storage service. Therefore, Cloud Armor should be considered when an internet-facing application requires protection against common web attacks.<\/span><\/p>\n<h3><b>Question 34<\/b><\/h3>\n<p><b>Which Google Cloud database is best suited for a globally distributed relational workload requiring horizontal scaling?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Firestore<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud SQL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Spanner<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bigtable<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Spanner combines relational database capabilities with horizontal scalability and global distribution. It is designed for applications that require transactional consistency while operating at substantial scale across regions or locations. Cloud SQL is a managed relational database service suited to many traditional application workloads but has different scaling characteristics. Firestore is a document-oriented NoSQL database, while Bigtable uses a wide-column model. Therefore, Cloud Spanner is the appropriate database when a globally distributed relational architecture requires horizontal scalability.<\/span><\/p>\n<h3><b>Question 35<\/b><\/h3>\n<p><b>Which service provides a managed environment for deploying containerized HTTP applications and APIs?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Run<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BigQuery<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud DNS<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Run is a managed application platform that runs containers and abstracts much of the underlying infrastructure from the developer. It is well suited to HTTP services, APIs, web applications, and other stateless workloads that can be packaged as containers. Cloud Run can scale based on incoming requests and can reduce running instances when demand decreases. BigQuery is an analytical warehouse, Cloud Storage provides object storage, and Cloud DNS manages DNS. Therefore, Cloud Run is the appropriate managed platform for containerized HTTP applications.<\/span><\/p>\n<h3><b>Question 36<\/b><\/h3>\n<p><b>A company has an existing application that requires a full operating system environment and custom system-level software. Which compute option provides the greatest control over the virtual machine environment?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Run<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Compute Engine<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Functions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">App Engine standard environment<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Compute Engine provides virtual machines with substantial control over operating systems, machine types, disks, networking, and installed software. This makes it appropriate for applications that require system-level customization or software that cannot easily be packaged for a more managed platform. Cloud Run abstracts the underlying servers, Cloud Functions is designed for function-based execution, and App Engine provides a more managed application environment. Therefore, Compute Engine is the appropriate choice when the application requires extensive control over its operating system and virtual machine environment.<\/span><\/p>\n<h3><b>Question 37<\/b><\/h3>\n<p><b>Which Google Cloud service is designed to provide durable object storage with multiple storage classes?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud SQL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Spanner<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bigtable<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Storage provides durable object storage for files and other unstructured data. It offers multiple storage classes that can be selected according to expected access frequency and retention requirements. This allows organizations to balance storage cost, retrieval requirements, and workload behavior. Cloud SQL and Cloud Spanner are relational database services, while Bigtable is a NoSQL wide-column database. Therefore, Cloud Storage is the appropriate service when durable object storage with different storage-class options is required.<\/span><\/p>\n<h3><b>Question 38<\/b><\/h3>\n<p><b>A company wants to collect application logs from multiple services and search them centrally for troubleshooting. Which Google Cloud service should the architect use?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Monitoring<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Logging<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Build<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Scheduler<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Logging provides centralized collection, storage, search, and analysis capabilities for logs generated by Google Cloud resources and supported applications. Centralized logging makes it easier for operations teams to investigate application errors, infrastructure events, and other operational issues across multiple services. Cloud Monitoring focuses primarily on metrics and alerting, Cloud Build automates builds, and Cloud Scheduler executes scheduled tasks. Therefore, Cloud Logging is the appropriate service when an organization needs to collect and centrally analyze application and infrastructure logs.<\/span><\/p>\n<h3><b>Question 39<\/b><\/h3>\n<p><b>An application uses a queue to process work asynchronously. The workload can grow suddenly, and the company wants consumers to scale independently from producers. Which design principle is being applied?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tight coupling<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Synchronous processing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Loose coupling<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Static capacity planning<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Loose coupling separates application components so that one component does not have to depend directly on the availability or processing speed of another. In an asynchronous queue architecture, producers can submit work while consumers process messages independently. This allows the consumer tier to scale according to workload demand without forcing producers to wait for immediate processing. It also improves resilience when temporary differences occur between production and consumption rates. Therefore, loose coupling is the design principle represented by this architecture.<\/span><\/p>\n<h3><b>Question 40<\/b><\/h3>\n<p><b>A team wants to move data continuously from an on-premises environment to Google Cloud and requires an encrypted connection over the public internet rather than a dedicated circuit. Which option should be evaluated?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Interconnect<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud VPN<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud CDN<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud Storage Transfer Service<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Cloud VPN can establish encrypted tunnels between an on-premises network and Google Cloud over the public internet. It is appropriate when an organization requires secure network connectivity but does not need or cannot justify a dedicated interconnection. Cloud Interconnect provides dedicated or partner connectivity rather than an internet-based VPN tunnel. Cloud CDN accelerates content delivery, while Storage Transfer Service is intended for moving data rather than creating general-purpose private network connectivity. Therefore, Cloud VPN should be evaluated for an encrypted internet-based connection.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>View Full Google Professional Cloud Architect Exam Dumps and Practice Test Dumps. &nbsp; Question 21 Which Google Cloud service provides centralized monitoring of metrics, dashboards, and alerts for applications and infrastructure? Cloud Monitoring Cloud Build Cloud Storage Cloud Scheduler Correct Answer: 1 Explanation Cloud Monitoring collects and presents metrics from Google Cloud resources and supported [&hellip;]<\/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\/16983"}],"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=16983"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16983\/revisions"}],"predecessor-version":[{"id":16984,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/16983\/revisions\/16984"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=16983"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=16983"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=16983"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}