Google Cloud Digital Leader practice questions
236 free questions with answers and explanations.
- 151.A client is deploying a new web application on Google Kubernetes Engine (GKE) and requires strict network isolation between different microservices within the same cluster. Specifically, the 'frontend' service should only be able to communicate with the 'backend-api' service, and the 'backend-api' service should only be able to communicate with the 'database' service. All other internal communications should be blocked by default. Which Google Cloud feature should the client implement to achieve this granular network segmentation?Security and operations with Google Cloud
- 152.A global e-commerce company uses Google Cloud to host its customer-facing applications. They need to ensure that all data at rest in Cloud Storage buckets is encrypted with customer-managed keys (CMK) and that access to these keys is tightly controlled and audited. Which Google Cloud service should they primarily use to manage these encryption keys?Security and operations with Google Cloud
- 153.A manufacturing company uses Google Cloud for its operational technology (OT) data analytics platform. They collect vast amounts of sensor data from factory equipment and need to process it in real-time to detect anomalies and trigger alerts. Due to the high volume and velocity of data, they require a scalable, fully managed, and durable messaging service that can ingest millions of events per second. Which Google Cloud service is best suited for this requirement?Security and operations with Google Cloud
- 154.A cybersecurity firm is building a Security Operations Center (SOC) on Google Cloud. They need a centralized platform to gain a unified view of their security posture across all Google Cloud projects, detect threats, and manage vulnerabilities. The solution must integrate with various Google Cloud services and provide actionable insights. Which Google Cloud service is designed to fulfill these requirements?Security and operations with Google Cloud
- 155.A small e-commerce startup is experiencing rapid growth. Their current on-premises server infrastructure is struggling to keep up with demand, leading to frequent downtime during peak sales. They need a solution that allows them to deploy web applications quickly, automatically scale to handle varying traffic, and minimize operational overhead. Which Google Cloud compute product would best meet these requirements?Infrastructure modernization with Google Cloud
- 156.A global media company is hosting its video streaming platform on Google Cloud. They want to ensure that users worldwide experience minimal latency when accessing video content, even during peak demand. They also need to reduce the load on their origin servers and minimize data transfer costs. Which Google Cloud networking service is designed to address these requirements?Infrastructure modernization with Google Cloud
- 157.An IoT company collects vast amounts of time-series data from millions of sensors globally. This data needs to be ingested at extremely high throughput, stored, and then queried for patterns and anomalies. The queries often involve filtering by timestamp and device ID, and aggregations over time windows. The company requires a database that can handle petabytes of data with high write and read throughput for analytical purposes. Which Google Cloud database service is best suited for this scenario?Infrastructure modernization with Google Cloud
- 158.A large research institution needs to process massive genomic datasets, often petabytes in size, for complex bioinformatics analysis. These analyses are typically batch jobs that run for several hours to days and require significant computational power, but they are not real-time. The institution wants to minimize costs by paying only for the resources they consume during processing. Which Google Cloud compute service is most appropriate for this workload?Infrastructure modernization with Google Cloud
- 159.A global manufacturing company needs to migrate its on-premises SAP ERP system to Google Cloud. The SAP system requires dedicated, high-performance virtual machines with specific CPU and memory configurations that are not available as standard machine types. They also need full control over the operating system and networking configuration. Which Google Cloud compute product should they choose?Infrastructure modernization with Google Cloud
- 160.A research institution needs to process massive genomic datasets, often petabytes in size, for bioinformatics analysis. These analyses are batch-oriented, fault-tolerant, and can tolerate occasional interruptions to compute instances as long as the overall job completes. The institution wants to minimize compute costs. Which Google Cloud compute option is the most cost-effective for this scenario?Infrastructure modernization with Google Cloud
- 161.A financial institution needs to migrate its legacy mainframe applications to Google Cloud. They want to minimize code changes and leverage their existing operational expertise with virtual machines. The goal is primarily to move the infrastructure to the cloud quickly, with optimization as a secondary, later phase. Which migration strategy is most appropriate for this initial phase?Infrastructure modernization with Google Cloud
- 162.A logistics company wants to modernize its fleet management system. They need to collect real-time telemetry data (GPS coordinates, speed, fuel levels) from thousands of vehicles, process this data as it arrives to detect anomalies, and then store it for historical analysis. The data stream is continuous and high-volume. Which Google Cloud service combination should they use for ingesting and processing this real-time data?Infrastructure modernization with Google Cloud
- 163.A growing startup requires a database solution that offers global distribution, strong consistency, and unlimited horizontal scalability for its mission-critical transactional applications. The application serves users worldwide and cannot tolerate eventual consistency or downtime. They also need SQL query capabilities. Which Google Cloud database product meets these stringent requirements?Infrastructure modernization with Google Cloud
- 164.A startup is developing a new mobile application that requires a flexible, NoSQL database. The application needs to store user profiles, preferences, and real-time game state, with automatic synchronization across devices and offline capabilities. The developers want to avoid managing database servers. Which Google Cloud database service is the best choice?Infrastructure modernization with Google Cloud
- 165.A global manufacturing company needs to migrate its on-premises SAP ERP system to Google Cloud. The SAP system requires certified virtual machines with specific CPU, memory, and storage configurations, and the company wants to retain full control over the operating system, patching, and application-level configurations. They are looking for a solution that provides maximum flexibility and direct access to the underlying infrastructure. Which Google Cloud service should they choose?Infrastructure modernization with Google Cloud
- 166.A software development company is building a new application that will be deployed as a set of microservices. They need to ensure that these microservices can communicate with each other securely and privately, without exposing internal traffic to the public internet. Additionally, they require granular control over network policies between different microservices and the ability to connect to on-premises resources via a secure tunnel. Which Google Cloud networking product would provide these capabilities?Infrastructure modernization with Google Cloud
- 167.An online retail giant needs to process massive amounts of clickstream data (hundreds of terabytes daily) from its website and mobile apps to personalize user experiences and optimize product recommendations in near real-time. This data is semi-structured and needs to be analyzed with high throughput and low latency. The solution must be highly scalable and cost-effective. Which Google Cloud database product is best suited for this use case?Infrastructure modernization with Google Cloud
- 168.A multinational corporation operates a complex enterprise application that requires strict network isolation between its production, staging, and development environments. Each environment needs its own dedicated IP address ranges and routing tables, and the ability to connect securely to on-premises data centers using VPNs. What Google Cloud networking product should the corporation use to achieve this isolation and connectivity?Infrastructure modernization with Google Cloud
- 169.A media company needs to process large volumes of video files (terabytes) for encoding, transcoding, and content analysis. These tasks are typically long-running, CPU-intensive, and can be broken down into independent, parallelizable jobs. The company wants a serverless solution that automatically scales and manages the underlying infrastructure, allowing them to focus solely on their processing logic. Which Google Cloud product is best suited for this use case?Infrastructure modernization with Google Cloud
- 170.A research institution needs to store vast amounts of scientific data, including raw sensor readings and experimental results, which can reach hundreds of petabytes. This data is infrequently accessed, but when it is, it needs to be available for analysis, although immediate retrieval is not critical. They prioritize extreme cost-effectiveness for storage. Which Google Cloud storage product is the most appropriate for this scenario?Infrastructure modernization with Google Cloud
- 171.A global financial institution is migrating its legacy data warehouses to Google Cloud. They require a fully managed, petabyte-scale analytics data warehouse that can handle complex SQL queries, offer strong consistency, and provide real-time insights from large datasets. They also need to integrate seamlessly with their existing business intelligence (BI) tools. Which Google Cloud product should they choose?Infrastructure modernization with Google Cloud
- 172.A global ride-sharing company needs to collect real-time telemetry data from millions of vehicles, process it, and then store it for further analysis. The data stream is continuous and high-volume, requiring a messaging service that can ingest events reliably and a processing service that can transform and enrich this streaming data. Which combination of Google Cloud services would best meet these requirements?Infrastructure modernization with Google Cloud
- 173.A small e-commerce company is experiencing rapid growth. Their current on-premises server frequently crashes during peak sales events, leading to lost revenue. They want to move to Google Cloud to improve reliability and scalability, but they have a limited IT staff and want to minimize operational overhead. Which Google Cloud compute product best meets their needs?Infrastructure modernization with Google Cloud
- 174.A financial institution needs to modernize its legacy mainframe applications. They want to move these applications to Google Cloud while minimizing code changes and leveraging managed services. The applications are critical, requiring high availability and disaster recovery capabilities. Which use case for infrastructure modernization best describes this scenario?Infrastructure modernization with Google Cloud
- 175.A healthcare provider is migrating its legacy patient record system to Google Cloud. The system generates auditing logs and patient data that must be stored for seven years to comply with regulatory requirements. These data are accessed infrequently (once or twice a year) but must be immediately retrievable when needed. Which Google Cloud Storage class is the most cost-effective while meeting these requirements?Infrastructure modernization with Google Cloud
- 176.A company is migrating its on-premises virtual machines to Google Cloud. They want to retain maximum control over the operating system and installed software, just as they do in their current environment. Which Google Cloud compute service should they choose to achieve this?Infrastructure modernization with Google Cloud
- 177.A research institution needs to store vast amounts of experimental data, including sensor readings, imaging files, and simulation outputs. This data is critical for long-term studies but is accessed very rarely after initial processing, perhaps once every few years for auditing or new research. The primary concern is minimizing storage costs while ensuring data durability and integrity for decades. What Google Cloud Storage class should they use?Infrastructure modernization with Google Cloud
- 178.A software development company is building a new application that will be deployed as a set of microservices. Each microservice needs to communicate securely and efficiently with other microservices, and the company wants to isolate the application's network resources from other projects within their Google Cloud organization. What Google Cloud networking construct should they use to achieve this isolation and enable secure internal communication?Infrastructure modernization with Google Cloud
- 179.A global media company hosts its video streaming platform on Google Cloud. They want to ensure that users worldwide experience low-latency access to video content and reduce the load on their origin servers. Which Google Cloud networking product is designed to achieve this goal?Infrastructure modernization with Google Cloud
- 180.A financial analytics firm needs to perform complex SQL queries on petabytes of historical transaction data. This data is updated frequently with new transactions, but the queries are primarily for analytical purposes, not real-time operational lookups. The firm requires a fully managed, serverless solution that can handle massive data volumes and scale query performance without managing infrastructure. Which Google Cloud service is most suitable?Infrastructure modernization with Google Cloud
- 181.A development team is building microservices that need to communicate with each other securely and efficiently within a Google Cloud project. They also need to expose some of these services to external clients over the internet. Which Google Cloud networking product is most appropriate for managing internal service-to-service communication and external access?Infrastructure modernization with Google Cloud
- 182.A global media company needs a highly scalable and durable storage solution for their vast archive of raw video footage. This footage is accessed infrequently, perhaps once a year for specific projects, but when it is needed, it must be retrieved within minutes. Cost optimization for long-term storage is a primary concern. Which Google Cloud Storage class should they choose?Infrastructure modernization with Google Cloud
- 183.A global e-commerce company is experiencing rapid growth and needs to ensure its transactional database can scale horizontally across multiple regions while maintaining strong consistency and high availability. They also require SQL query capabilities. Which Google Cloud database service is the most appropriate solution?Infrastructure modernization with Google Cloud
- 184.A small independent game studio is developing a new multiplayer online game. They anticipate unpredictable user traffic, especially during game launches and promotional events. They need a compute solution that can automatically scale to handle millions of simultaneous players without manual intervention, and they want to only pay for the compute resources when players are active. Which Google Cloud compute service is the most cost-effective and operationally efficient choice?Infrastructure modernization with Google Cloud
- 185.A company is migrating its entire data center to Google Cloud. They have a mix of virtual machines running Windows and Linux, custom applications, and legacy systems. They want to utilize the cloud's elasticity and pay-as-you-go model but need to maintain granular control over the virtual instances and operating systems. Which cloud computing concept best describes this approach?Infrastructure modernization with Google Cloud
- 186.A small startup is building a new mobile application that requires a flexible, non-relational database. The application needs to store user profiles, game scores, and real-time chat messages. Data consistency is important, but the schema may evolve over time. The developers want a fully managed service that offers high availability and automatic scaling without requiring database administration. Which Google Cloud database product should they choose?Infrastructure modernization with Google Cloud
- 187.A media company needs to store petabytes of video archives that are rarely accessed but must be retained for compliance reasons. When access is required, retrieval times can be flexible, up to a few hours. Cost efficiency is the primary concern for this long-term storage. Which Google Cloud Storage class should they use?Infrastructure modernization with Google Cloud
- 188.A large e-commerce company experiences unpredictable traffic spikes during holiday sales, ranging from thousands to millions of requests per minute. They need a globally distributed, highly available database that can scale automatically to handle these extreme loads without manual intervention, and maintain low latency for customer transactions. Which Google Cloud storage product is most suitable for this use case?Infrastructure modernization with Google Cloud
- 189.A small startup is looking to launch its new web application quickly with minimal operational overhead. They have limited IT staff and want to focus primarily on developing their application code. Which Google Cloud compute product would best meet their requirements for ease of deployment and management?Infrastructure modernization with Google Cloud
- 190.A video streaming platform needs to serve high-definition video content globally with low latency to its users. They want to reduce the load on their origin servers and improve user experience by caching content closer to the users. Which Google Cloud networking product should they utilize for this purpose?Infrastructure modernization with Google Cloud
- 191.A data analytics company needs to process large datasets (terabytes to petabytes) in a highly scalable and cost-effective manner. The processing jobs are often batch-oriented and can take several hours to complete. They also require a flexible environment to run custom code and machine learning workloads. Which Google Cloud compute product provides a managed, scalable, and customizable environment for such data processing?Infrastructure modernization with Google Cloud
- 192.A popular online gaming company needs a database that can handle millions of concurrent users with extremely low latency reads and writes. The database must be highly scalable to accommodate rapid user growth during peak hours and allow for flexible, schemaless data storage for player profiles and game state. Which Google Cloud storage product is best suited for this scenario?Infrastructure modernization with Google Cloud
- 193.A global financial institution needs to store vast amounts of historical transaction data, which is accessed infrequently (once a quarter for regulatory audits) but must be retained for seven years. Data retrieval time is not critical, but cost-effectiveness is a primary concern for this petabyte-scale data. Which Google Cloud Storage class is most appropriate for this use case?Infrastructure modernization with Google Cloud
- 194.A startup is building a new mobile application that requires real-time synchronization of user data across multiple devices. The data model is flexible and frequently evolving. They need a fully managed, serverless database that can scale globally and handle millions of concurrent connections, while offering robust querying capabilities. Which Google Cloud storage product is the most suitable choice?Infrastructure modernization with Google Cloud
- 195.A logistics company wants to predict potential delays in their supply chain by analyzing real-time sensor data from trucks, weather forecasts, and traffic conditions. They need a service that can ingest and process high-throughput event streams and perform real-time analytics. Which Google Cloud product is most suitable for this task?Data and AI with Google Cloud
- 196.A manufacturing company uses sensors on its assembly line to monitor equipment performance and predict potential failures. These sensors generate a continuous stream of time-series data at high velocity. The company needs a highly scalable, low-latency database specifically designed for storing and querying this time-series data efficiently. Which Google Cloud database is best suited for this use case?Data and AI with Google Cloud
- 197.A film studio is developing an application to automatically tag scenes in their vast archive of video footage with objects, activities, and locations. They possess a large dataset of labeled video segments and want to build a custom machine learning model for this task. They need a service that allows them to train and deploy these video analysis models without deep expertise in TensorFlow or other complex ML frameworks, leveraging Google Cloud's AutoML capabilities. Which Google Cloud product should they use?Data and AI with Google Cloud
- 198.A logistics company wants to optimize delivery routes by predicting traffic congestion and delivery times. They plan to use historical GPS data, weather forecasts, and real-time traffic information. They need a flexible, scalable database that can handle large volumes of rapidly changing semi-structured data (like sensor readings and traffic updates) and provide low-latency access for their route optimization engine. Which Google Cloud database is best suited for this scenario?Data and AI with Google Cloud
- 199.A media company wants to analyze user engagement with their video content. They collect millions of events daily (e.g., play, pause, seek, completion) from their mobile apps and website. They need to process this continuous stream of data to derive real-time insights such as popular videos, user drop-off points, and content recommendations. Which Google Cloud service is most appropriate for processing this high-volume, real-time streaming data?Data and AI with Google Cloud
- 200.A media streaming company wants to personalize content recommendations for its users. They have a vast library of movies and TV shows, and extensive user interaction data. They need to build a system that can learn user preferences and content attributes to suggest highly relevant items. Which Google Cloud AI product, leveraging its pre-trained models and customization options, is best suited for this?Data and AI with Google Cloud