CCNA Pca Design Planning Questions

A company wants to connect their on-premises network to Google Cloud with high availability and bandwidth up to 10 Gbps. They need a dedicated connection with a Service Level Agreement (SLA). Which TWO options should they consider? (Choose TWO.)

A company runs a batch analytics job every hour on BigQuery. The job processes terabytes of data and the results are stored in Cloud Storage. The job must complete within 30 minutes. Which TWO actions can reduce query execution time? (Choose 2)

A financial services company is migrating a monolithic Java application to Google Cloud. They want to minimize changes to the application code but take advantage of managed services. They plan to run the application on a VM with a specific OS configuration that is not supported by App Engine. Which migration strategy should they use?

A company requires a globally distributed relational database with strong consistency across regions and automatic replication. They need to support SQL queries and have a write throughput of 100,000 writes per second. Which Google Cloud database meets these requirements?

A company needs to store petabytes of time-series IoT sensor data and query it with single-digit millisecond latency at millions of reads per second. The data has a simple key-value structure with timestamps. Which Google Cloud database is MOST appropriate?

An organization wants to deploy a containerized microservices architecture on Google Kubernetes Engine (GKE) and minimize operational overhead. They do not need to manage the node infrastructure and are willing to accept some limitations on node configuration. Which GKE mode should they choose?

A team is migrating a stateful application to GKE. The application requires persistent storage with ReadWriteMany (RWX) access across multiple pods. Which Kubernetes volume type should they use to meet this requirement on GKE?

A startup wants to deploy a containerized web application with zero server management and automatic scaling based on HTTP requests. They expect very low traffic initially but want to scale to thousands of requests per second without configuration changes. Which compute service is most appropriate?

A startup is building a mobile app backend that requires real-time data synchronization across multiple users. They need a fully managed, serverless NoSQL database that scales automatically and supports offline persistence. Which database should they choose?

A company wants to deploy a microservices architecture on Google Cloud. They need a service mesh to manage traffic, security, and observability across services. They also want to run workloads on both GKE and Compute Engine. Which solution should they use?

A developer needs to build a serverless event-driven application that responds to Cloud Storage object uploads by processing the file and storing results in Firestore. Which compute service is the best fit?

A company needs to connect their on-premises data center to Google Cloud with a dedicated, low-latency connection that provides a Service Level Agreement (SLA) of 99.99% uptime. They anticipate high bandwidth usage (10 Gbps). Which connectivity option should they choose?

A company needs to store archival data that is accessed less than once a year, with retrieval times of up to 12 hours acceptable. The data must be kept for 10 years for compliance. What is the most cost-effective Cloud Storage solution?

A company is designing a disaster recovery plan for a critical application running on Compute Engine with data in Cloud SQL. They require a Recovery Time Objective (RTO) of 1 hour and a Recovery Point Objective (RPO) of 5 minutes. Which THREE actions should they take? (Choose THREE.)

A company is running a stateful application on Compute Engine with local SSDs for low-latency writes. They want to perform a rolling update without losing data stored on the local SSDs. Which strategy is MOST appropriate?

A company needs to run a batch job that processes data stored in Cloud Storage. The job runs once per day and takes about 2 hours on 8 vCPUs. Cost is the primary concern, and the job can be interrupted. Which compute option is MOST cost-effective?

A company wants to deploy a containerized microservices application on GCP with minimal operational overhead. They need automatic scaling, no node management, and pay only for requested resources. Which compute option is most appropriate?

A company is moving a legacy monolithic application to a microservices architecture on Google Cloud. They want to minimize operational overhead and automatically scale each service independently. Which TWO compute services should they consider? (Choose two.)

A company is designing a disaster recovery strategy for a critical application running on Compute Engine with a regional managed instance group (MIG) and an HTTP load balancer. They require an RTO of 10 minutes and RPO of 1 hour. The application state is stored in Cloud SQL for PostgreSQL. What is the most cost-effective approach?

A company runs a batch processing workload on Compute Engine that executes nightly. The job is fault-tolerant and can withstand interruptions. The job uses 500 vCPUs and runs for 4 hours each night. Which compute option is MOST cost-effective?

A company deploys a global application on Cloud Run and uses Cloud SQL for user data. They need sub-10ms read latency for frequently accessed user profiles across regions. Traffic is unpredictable but consistently high. The database must support strong consistency. Which approach meets these requirements?

A company is building a web application on GKE. They want to automatically scale the number of pods based on HTTP request rate. Which TWO resources should they configure?

A company wants to run a legacy application on Google Cloud that requires a specific operating system version and kernel tuning. The application is not containerised and cannot be easily modified. Which compute service should they use?

An e-commerce company uses Cloud SQL for MySQL for their transactional database. During a recent load test, the database experienced high latency under write-heavy workloads. The team needs to improve write performance without changing the application. Which action is most effective?

A company is running a containerized application on Cloud Run and needs to handle long-running requests that may exceed Cloud Run's default timeout. They also need to use WebSocket connections. What should they do?

A startup wants to run a containerized web application that scales to zero when not in use and charges only for request processing time. Which compute service is most appropriate?

A company is building a microservices architecture on Google Kubernetes Engine (GKE) and needs to ensure each microservice can only access specific Cloud Storage buckets. IAM permissions should be assigned at the pod level, not at the node level. What is the recommended approach?

A company needs to run batch processing jobs that can tolerate interruptions. They want to minimize costs. Which TWO compute options should they consider? (Choose TWO.)

A financial services company wants to migrate a legacy monolithic Java application to Google Cloud with minimal changes to the code. They plan to containerise the application but want to avoid managing Kubernetes clusters. The application requires persistent storage and must be reachable via an internal IP address within the VPC. Which compute service should they use?

A company is designing a disaster recovery strategy for a Cloud SQL for PostgreSQL database with a Recovery Point Objective (RPO) of 1 hour and a Recovery Time Objective (RTO) of 2 hours. They are using the Regional Cloud SQL tier. Which TWO actions should they take? (Choose TWO.)

An e-commerce company uses Cloud SQL for MySQL for its transactional database. They need to run complex analytical queries on the same data without impacting OLTP performance. The analytical queries should be run on a read replica with minimal lag. Which solution is BEST?

A company wants to connect their on-premises network to Google Cloud with a dedicated, high-bandwidth, low-latency connection that has a Service Level Agreement (SLA) of 99.99% uptime. Which connectivity option should they choose?

A company wants to run a containerized web application that experiences unpredictable traffic spikes. They want to pay only for resources used during request processing, with no idle cost. Which compute service should they choose?

A company needs to store and serve large media files (each up to 5 GB) to users globally. The files are accessed infrequently (once a quarter) but must be available with low latency. Which THREE Cloud Storage classes and features should they consider? (Choose three.)

A company needs to store archival data that is accessed less than once a year and must be retained for 10 years for compliance. The data retrieval time is not critical. Which Cloud Storage class is MOST cost-effective?

A financial services company requires a globally distributed relational database with strong consistency and horizontal scalability to serve a multi-region banking application. Write conflicts are rare. Which database should they choose?

A company is migrating a legacy monolithic application to a microservices architecture on GKE. They want to gradually shift traffic from the monolith to the new services. They also need to route requests based on headers (e.g., for A/B testing). Which GKE feature should they use?

A company wants to implement a disaster recovery strategy for a critical application running on Compute Engine with state stored on persistent disks. They need an RTO of less than 15 minutes and an RPO of less than 1 hour. Which TWO steps should they take? (Choose two.)

A global financial services company needs to store transaction data with strong consistency across multiple regions, low latency (single-digit milliseconds), and the ability to scale writes horizontally. They also require SQL query capabilities. Which TWO database services meet these requirements?

A company wants to run a containerized application that scales down to zero when not in use and only incurs costs when requests are being processed. They do not want to manage infrastructure. Which compute service should they use?