Cloud Digital Leader Google Cloud Products and Services — All Questions With Answers

Question 1mediummulti select

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A company stores sensitive data in Cloud Storage. They want to restrict access to only users from the company's corporate network (IP range 203.0.113.0/24) and ensure data is encrypted at rest using a customer-managed key. Which TWO configurations are required? (Select 2)

Question 2mediummultiple choice

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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?

Question 3mediummulti select

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A company is deploying a global web application and needs to serve users with low latency, protect against DDoS attacks, and scale automatically. Which two Google Cloud services should they combine? (Choose exactly 2.)

Question 4mediummultiple choice

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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?

Question 5hardmulti select

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A company wants to set up a hybrid cloud network connecting their on-premises data center to Google Cloud with high bandwidth and low latency. They also need to provide DDoS protection for their applications. Which THREE services should they consider? (Choose THREE.)

Question 6mediummulti select

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A data analyst wants to create interactive dashboards and reports from data stored in BigQuery. They need a free tool that does not require a license. Which TWO tools are appropriate? (Choose TWO.)

Question 7mediummultiple choice

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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?

Question 8hardmultiple choice

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A company uses Cloud SQL for MySQL to store transactional data. They want to run complex analytical queries that join multiple tables and aggregate millions of rows, but the queries are slow and impacting production performance. They need a solution that minimises impact on the transactional database. What is the BEST approach?

Question 9easymultiple choice

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An engineer needs to deploy a web application that runs on a custom runtime (e.g., Ruby on Rails with system dependencies). The application must automatically scale based on traffic and should not require managing the underlying infrastructure. Which Google Cloud compute service is MOST appropriate?

Question 10mediummultiple choice

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A company wants to store backup data that will be accessed infrequently (once a quarter) and can tolerate a retrieval time of several hours. The data is critical but regulatory compliance requires it to be retained for 10 years. Which Cloud Storage class is MOST cost-effective?

Question 11hardmulti select

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A data scientist needs to build a custom machine learning model using TensorFlow on Google Cloud. The training data is stored in Cloud Storage and is hundreds of gigabytes. The data scientist wants to use a managed service that handles hyperparameter tuning and distributed training without managing infrastructure. Which TWO services can be used together to achieve this? (Choose 2)

Question 12mediummulti select

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A company uses Cloud Functions to process events from Pub/Sub. Which TWO statements about this architecture are correct? (Choose two.)

Question 13easymultiple choice

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A company wants to run a batch job that processes large log files stored in Cloud Storage every night. The job typically runs for 2 hours on a single VM with 16 vCPUs and 64 GB of memory. They want to minimize costs. Which compute option is BEST?

Question 14mediummultiple choice

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A company uses Google Workspace and wants to analyze employee productivity trends by processing Gmail and Calendar data. They need a solution that integrates natively with Google Workspace and allows custom SQL queries. Which tool should they use?

Question 15mediummulti select

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A company is deploying a stateful web application on Compute Engine that requires persistent block storage for the database. They need high IOPS and the ability to dynamically resize the disk without downtime. Which TWO storage options meet these requirements? (Choose two.)

Question 16mediummultiple choice

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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?

Question 17mediummultiple choice

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A company runs a global e-commerce platform that requires a relational database with strong consistency across continents and an SLA of 99.999% availability. Which Google Cloud database service meets these requirements?

Question 18hardmultiple choice

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An engineer needs to create a Pub/Sub subscription that delivers messages exactly once to a subscriber that processes them idempotently. The subscriber runs on Compute Engine and must handle messages at least once but the engineer wants to minimise duplicates. Which subscription type should be configured?

Question 19hardmultiple choice

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A company is migrating a legacy monolithic application to Google Cloud. The app has unpredictable traffic patterns and requires custom runtime dependencies (e.g., specific Python libraries with native extensions). The team wants to minimise operational overhead and avoid managing servers. Which compute option is MOST suitable?

Question 20hardmulti select

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A company is using Cloud SQL for MySQL and wants to minimise downtime during a schema migration that may take up to 30 minutes. Which THREE steps should they take to achieve near-zero downtime? (Choose 3)

Question 21easymulti select

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A startup is building a mobile app that needs to store user profiles and preferences with low latency. The data is unstructured and frequently read/written. Which TWO Google Cloud database services are most suitable? (Choose 2)

Question 22mediummultiple choice

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A company uses App Engine Standard environment for a Python web app. During a traffic spike, they notice increased latency. They want to improve performance without changing code. What should they do?

Question 23hardmulti select

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A DevOps team wants to implement infrastructure as code for deploying a multi-service application on GKE. They need to store container images, automate builds on code commits, and manage Kubernetes YAML configurations. Which TWO services should they use? (Choose 2)

Question 24easymulti select

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A startup wants to build a serverless event-driven application where a file upload to Cloud Storage triggers a function that sends a notification email. Which TWO services are essential? (Choose 2)

Question 25mediummultiple choice

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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?

Question 26hardmultiple choice

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A company has a critical application running on Compute Engine instances in a managed instance group (MIG) that must remain highly available across three zones in a region. The application stores state on Persistent Disk. What is the correct approach to achieve high availability?

Question 27hardmultiple choice

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A company needs to replicate data between two Cloud SQL for PostgreSQL instances in different regions for disaster recovery. They require automated failover with minimal data loss. Which feature should they enable?

Question 28mediummultiple choice

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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?

Question 29mediummultiple choice

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A company wants to build a global application that requires strong consistency across regions and an SLA of 99.999% for its transactional database. The workload involves moderate write throughput (10K writes/sec) and high read throughput (100K reads/sec). Which database should they choose?

Question 30mediummultiple choice

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A company wants to migrate an on-premises PostgreSQL database to Google Cloud with minimal changes to the application code. They also require high availability with automatic failover. Which service should they use?

Question 31easymultiple choice

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A company needs to store files that are accessed infrequently (once a quarter) and wants the lowest storage cost. Data retrieval can take a few hours. Which Cloud Storage class should they use?

Question 32mediummulti select

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A company is running a stateful workload on Compute Engine and needs persistent block storage that can be attached to multiple VMs in read-only mode. Which two Google Cloud storage solutions meet this requirement?

Question 33hardmulti select

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A company runs a microservices application on Google Kubernetes Engine (GKE) and wants to reduce costs by using preemptible nodes for stateless workloads. However, they need to ensure that critical stateful workloads are not disrupted. Which two actions should they take?

Question 34mediummultiple choice

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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?

Question 35easymulti select

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A startup is building a mobile app backend that stores user profiles and session data. They need a NoSQL database with real-time synchronization across devices and offline support. Which TWO Google Cloud services are suitable?

Question 36easymulti select

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A startup wants to build a chatbot that can understand natural language and integrate with Google Workspace (e.g., Gmail, Calendar). They have limited ML expertise. Which TWO Google Cloud services should they use?

Question 37mediummultiple choice

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A regional bank is modernizing its branch teller applications. Policy requires that all customer data remain inside the bank's own on-premises data center for regulatory reasons, but the bank wants to use Google Cloud's AI APIs for document processing. Which Google Cloud deployment model should the bank choose?

Question 38mediummultiple choice

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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?

Question 39easymultiple choice

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A developer wants to deploy a containerized web application that can automatically scale to zero when there are no requests, and charges only for resources used during request processing. Which Google Cloud compute service should they use?

Question 40hardmultiple choice

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An organization needs to run a batch process every night that analyzes terabytes of data from Cloud Storage and writes results back to BigQuery. The job is not time-sensitive and can be preempted. Which compute approach is most cost-effective?

Question 41easymultiple choice

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Which Google Cloud service provides a fully managed, scalable data warehouse for running SQL queries on petabyte-scale data and supports BI tools like Looker?

Question 42mediummultiple choice

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A company wants to migrate its on-premises PostgreSQL database to Google Cloud with minimal application changes. They need high availability and want to leverage AI-powered optimizations for performance. Which service should they choose?

Question 43mediummultiple choice

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A developer needs to run a small piece of Python code that processes a message from Pub/Sub and stores the result in Firestore. The code runs infrequently (a few hundred times per day) and takes less than a second to execute. Which compute service is most cost-effective and simple to manage?

Question 44easymultiple choice

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What is the primary purpose of Google Cloud Armor?

Question 45mediummultiple choice

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A data engineer needs to process a continuous stream of clickstream events from a website, perform real-time aggregations (e.g., counts per page per minute), and write the results to BigQuery for dashboarding. Which combination of services should they use?

Question 46hardmultiple choice

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A company is running a stateful web application on Compute Engine with a SQL database. They want to use Cloud Load Balancing to distribute traffic across multiple instances in different zones. The application stores session state locally on each VM. Users report that after being directed to a different instance, their session is lost. What is the most suitable solution to maintain session persistence?

Question 47easymultiple choice

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Which Google Cloud service provides a fully managed, scalable NoSQL document database suitable for mobile and web applications with real-time data synchronization?

Question 48mediummultiple choice

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A team is developing a machine learning model using TensorFlow. They want to train the model on a large dataset stored in Cloud Storage, using GPUs, and then deploy the trained model for online predictions with autoscaling. Which GCP service should they use for the entire workflow?

Question 49mediummultiple choice

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A company wants to set up a hybrid cloud connection between its on-premises data center and Google Cloud VPC with a dedicated, high-bandwidth, low-latency link. Which service should they use?

Question 50hardmulti select

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A company runs a critical application on Compute Engine. They need a backup and disaster recovery strategy that includes automated backups and the ability to restore in a different region. Which TWO services should they use together? (Select 2)

Question 51mediummulti select

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A developer wants to build a CI/CD pipeline that automatically builds a Docker container from a GitHub repository, stores the image securely, and deploys it to Cloud Run. Which THREE services should they integrate? (Select 3)

Question 52easymultiple choice

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A developer wants to deploy a containerized application that can scale down to zero when not in use and charges only for the resources consumed during request processing. Which Google Cloud compute service should they choose?

Question 53hardmultiple choice

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A large enterprise is migrating its on-premises data center to Google Cloud. They need a dedicated, low-latency, and highly available connection between their on-premises network and their VPC. Which networking service should they use?

Question 54mediummultiple choice

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A data engineering team wants to process continuous streams of real-time events from millions of devices, perform transformations, and load the results into BigQuery for analysis. They need a fully managed, serverless solution. Which service should they use?

Question 55mediummultiple choice

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A startup is building a mobile app and needs to store user profiles and preferences. The data is hierarchical and the app requires real-time synchronization across devices. Which Google Cloud database should they use?

Question 56easymultiple choice

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An organization needs to apply security policies to protect their web application from DDoS attacks and SQL injection. Which Google Cloud service should they use?

Question 57hardmultiple choice

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A company wants to store archived data that must be retained for 10 years. They expect to access it less than once a year. Which Cloud Storage class is the MOST cost-effective?

Question 58mediummultiple choice

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A team needs to run a machine learning model using custom code in Python with TensorFlow, and they want to train it at scale on GPU hardware without managing infrastructure. Which Google Cloud service is best suited?

Question 59easymultiple choice

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Which Google Cloud service allows you to run code in response to events (e.g., file upload to Cloud Storage) without provisioning servers?

Question 60mediummultiple choice

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A company is migrating a PostgreSQL database to Google Cloud. They want high performance, AI-optimized capabilities, and compatibility with existing PostgreSQL tools. Which service should they choose?

Question 61hardmultiple choice

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An engineer is troubleshooting a Cloud SQL instance that is running out of memory. They want to reduce memory usage without changing the machine type. Which action would help?

Question 62mediummultiple choice

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A company wants to use a pre-trained model to extract text from scanned invoices. They need a fully managed API that can be called via REST. Which Google Cloud service should they use?

Question 63mediummulti select

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A data analytics team wants to analyze large datasets using SQL and create dashboards with minimal latency. They need a serverless data warehouse and a BI tool. Which two services should they use? (Choose exactly 2.)

Question 64hardmulti select

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A company runs a batch processing job every hour using Cloud Dataflow. They notice increasing costs and want to optimize. Which three actions would reduce cost? (Choose exactly 3.)

Question 65easymultiple choice

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A startup wants to deploy a containerised web application that scales automatically from zero to handle traffic spikes and charges only for the resources used during request processing. They want to avoid managing servers or Kubernetes clusters. Which compute service should they choose?

Question 66hardmultiple choice

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An engineer is deploying a globally distributed application that requires strong consistency across multiple continents with a 99.999% uptime SLA. The data model is relational with SQL queries. Which database service should they use?

Question 67mediummultiple choice

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A company runs batch processing jobs on scheduled intervals. They want to minimise costs by using short-lived compute capacity that can be interrupted but offers significant discounts. Which type of Compute Engine VM should they use?

Question 68easymultiple choice

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Which Google Cloud service provides a serverless data warehouse for running SQL queries on petabyte-scale data with no need to manage infrastructure?

Question 69mediummultiple choice

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A developer needs to trigger a serverless function whenever a new file is uploaded to a Cloud Storage bucket. The function will process the file and store results in Firestore. Which Google Cloud service should they use for the function?

Question 70hardmultiple choice

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An organisation must store archival data that is accessed less than once a year. They need the lowest storage cost and can tolerate a retrieval time of several hours. Which Cloud Storage class should they use?

Question 71mediummultiple choice

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A data science team needs to train a custom machine learning model using their own data. They want a unified platform that manages the entire ML lifecycle, including data preparation, training, tuning, and deployment. Which service should they use?

Question 72easymultiple choice

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A company uses Google Workspace for email, documents, and meetings. They want to leverage an AI assistant that can help draft emails, create slides, and summarise meeting notes. Which product provides this functionality?

Question 73mediummultiple choice

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An engineer needs to distribute incoming HTTP traffic across multiple backend VM instances in different regions, with automatic failover and SSL termination. Which load balancing product should they use?

Question 74hardmultiple choice

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A company wants to migrate its on-premises Oracle database to Google Cloud. They need PostgreSQL compatibility with high performance for transaction processing and built-in support for AI-driven optimisations. Which database service should they choose?

Question 75easymultiple choice

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Which Google Cloud service is used for monitoring and alerting on the performance and health of cloud resources?

Question 76mediummulti select

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A company is building a real-time analytics pipeline on Google Cloud. They need to ingest streaming data from IoT devices, process it with low latency, and then store the results for real-time querying. Which TWO services should they use? (Choose TWO.)

Question 77easymultiple choice

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A developer wants to deploy a containerised microservice that can scale to zero when not in use and automatically scale up based on HTTP requests. The microservice is stateless and runs a custom Docker image. Which Google Cloud compute service is BEST suited for this workload?

Question 78mediummultiple choice

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An organisation needs to run a batch analytics job every night that processes terabytes of data stored in Cloud Storage. The job is expected to run for 3 hours and can tolerate interruptions. The compute resources should be as cost-effective as possible. Which Compute Engine VM type should be used?

Question 79mediummultiple choice

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A data engineer needs to process a continuous stream of events from a global user base, perform real-time transformations, and write the results to both Cloud Storage and BigQuery. The solution must handle sudden traffic spikes and be fully managed (no server management). Which combination of services should the engineer use?

Question 80hardmultiple choice

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A company runs a global web application hosted on Compute Engine behind a Cloud Load Balancer. They want to protect against DDoS attacks and filter incoming traffic based on IP reputation and geolocation. Which Google Cloud service should they use?

Question 81mediummultiple choice

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A startup is building a mobile app backend that requires a scalable NoSQL database with real-time synchronisation across devices. The database should support offline access and automatic conflict resolution. Which Google Cloud database service meets these requirements?

Question 82hardmultiple choice

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A team is using Cloud Build to build container images and push them to Artifact Registry. The build process involves sensitive dependencies that should not be exposed to the internet. The team wants to ensure that all builds execute on a private network without public IP addresses. What should the team configure?

Question 83easymultiple choice

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A company wants to monitor the CPU and memory utilisation of their Compute Engine instances and set up alerts when utilisation exceeds 80%. Which Google Cloud service should they use?

Question 84mediummultiple choice

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An organisation is migrating its on-premises Oracle database to Google Cloud. They need a fully managed, PostgreSQL-compatible database with high performance for transaction processing and built-in AI capabilities for predictive analytics. Which database service should they choose?

Question 85mediummulti select

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A company runs a stateful web application on Compute Engine. They need to ensure that persistent data is retained if an instance fails, and that traffic is automatically distributed across healthy instances. Which TWO Google Cloud services should they use? (Choose 2)

Question 86mediummulti select

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A company wants to implement a data pipeline that ingests streaming events from a global user base, processes them in real-time to detect anomalies, and stores the results in a database for low-latency querying. The solution must be fully managed. Which THREE services should they use? (Choose 3)

Question 87easymultiple choice

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A startup wants to deploy a containerized web application that can scale to zero during periods of no traffic, and they want to minimize operational overhead. Which Google Cloud compute service is the BEST fit?

Question 88mediummultiple choice

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A company runs a batch processing workload every night that can tolerate interruptions. The workload runs on Compute Engine VMs and takes 2 hours to complete. They want to reduce costs. Which VM pricing model should they use?

Question 89hardmultiple choice

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An engineer needs to deploy a containerized application on Google Kubernetes Engine (GKE) and ensure that each pod gets a static IP address that persists across rescheduling. Which networking approach should they use?

Question 90mediummultiple choice

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A data analyst needs to run ad-hoc SQL queries on a large dataset stored in Cloud Storage. The data is in CSV format and does not require real-time results. Which Google Cloud service should they use?

Question 91easymultiple choice

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Which Google Cloud service is a fully managed, serverless data warehouse for analytics with built-in ML capabilities (e.g., BigQuery ML)?

Question 92mediummultiple choice

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An organization needs to store archival data that must be retained for 10 years and is accessed less than once a year. Which Cloud Storage class offers the lowest storage cost?

Question 93hardmultiple choice

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A company uses Cloud SQL for MySQL and needs to migrate to a PostgreSQL-compatible database that offers improved performance for AI workloads (e.g., vector embeddings). Which Google Cloud database is MOST suitable?

Question 94mediummultiple choice

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A developer wants to trigger a serverless function in response to a file being uploaded to a Cloud Storage bucket. Which Google Cloud service should they use?

Question 95easymultiple choice

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Which Google Cloud service provides a managed Redis or Memcached in-memory data store for caching and low-latency data access?

Question 96mediummultiple choice

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A media company needs to stream live video to global viewers with low latency. They also want to protect against DDoS attacks. Which combination of Google Cloud networking services should they use?

Question 97hardmultiple choice

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A security team wants to restrict access to a Cloud Storage bucket so that only Compute Engine VMs in the same VPC network can read objects. The VMs do not have public IP addresses. Which configuration should they use?

Question 98easymultiple choice

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Which Google Cloud service is a managed platform for building, training, and deploying ML models, including support for AutoML and custom models?

Question 99mediummulti select

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A company wants to migrate its on-premises PostgreSQL database to Google Cloud with minimal downtime. They also need the ability to perform point-in-time recovery. Which TWO services or features should they use? (Choose two.)

Question 100hardmulti select

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A team is designing a CI/CD pipeline for a microservices application. They want to automatically build container images from source code, store them securely, and deploy to GKE. Which THREE services should they include? (Choose three.)

Question 101easymultiple choice

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A startup wants to deploy a containerized web application that can scale to zero when not in use and automatically scale based on request traffic. They have limited DevOps experience and want minimal infrastructure management. Which compute service should they choose?

Question 102mediummultiple choice

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An e-commerce company needs a globally distributed relational database with strong consistency and 99.999% SLA to handle customer orders and inventory across multiple regions. They require SQL compatibility and automatic replication. Which database should they use?

Question 103hardmultiple choice

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A data engineering team is building a streaming pipeline that ingests clickstream events from a website, processes them in real-time (e.g., aggregations, filtering), and loads the results into BigQuery for analysis. They also need the ability to replay events in case of failures. Which combination of services is MOST appropriate for the streaming ingestion and processing?

Question 104mediummultiple choice

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A developer wants to deploy a Python script that runs in response to new files uploaded to a Cloud Storage bucket. The script performs simple image transformations. Which compute service is the BEST fit?

Question 105hardmultiple choice

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An organization needs to store archival data that must be retained for 10 years for compliance. Access to this data is expected to be less than once a year, and retrieval can take up to 24 hours. Which Cloud Storage class is the MOST cost-effective for this data?

Question 106mediummultiple choice

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A team wants to use a managed MySQL database that offers automatic failover, backups, and read replicas. They also need to connect from Compute Engine instances in the same region. Which service should they use?

Question 107easymultiple choice

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Which Google Cloud service can be used to create and manage virtual networks, subnets, firewall rules, and VPN connections?

Question 108mediummultiple choice

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A company wants to analyze petabytes of sales data using SQL queries with sub-second response times for dashboards. They need a fully managed, serverless solution that separates storage and compute. Which service meets these requirements?

Question 109hardmultiple choice

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A company runs a globally distributed application with users in North America, Europe, and Asia. They need to serve static content (images, videos) with low latency from edge locations. They also need to protect against DDoS attacks. Which combination of services should they use?

Question 110mediummultiple choice

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A data scientist wants to train a custom machine learning model using a large dataset stored in BigQuery. They need a managed service that supports distributed training with GPU accelerators. Which service should they use?

Question 111hardmulti select

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A company wants to implement a hybrid cloud architecture connecting their on-premises data center to Google Cloud. They need high bandwidth (10 Gbps), low latency, and a service-level agreement (SLA). Which TWO services can provide dedicated connectivity? (Choose two.)

Question 112easymulti select

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A developer wants to build a mobile app backend that uses a real-time database for chat messages, user profiles, and file storage for images. They want a fully managed, serverless solution. Which THREE Google Cloud services should they use? (Choose three.)

Question 113easymultiple choice

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A developer wants to deploy a containerised web application that can scale to zero when not in use, and only pay for actual request processing time. Which Google Cloud compute service should they choose?

Question 114mediummultiple choice

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A company wants to analyse streaming data from IoT devices in real time with sub-second latency, using SQL queries. Which combination of services should they use?

Question 115easymultiple choice

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Which Google Cloud service provides a fully managed, serverless data warehouse for petabyte-scale analytics with SQL?

Question 116mediummultiple choice

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An organisation needs to block common web attacks like SQL injection and cross-site scripting (XSS) at the edge of Google's network, before traffic reaches their applications. Which Google Cloud service should they use?

Question 117mediummultiple choice

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A developer wants to trigger a serverless function whenever a new object is uploaded to a Cloud Storage bucket. Which Google Cloud service should they use?

Question 118easymultiple choice

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A data analyst wants to create interactive dashboards and reports using data from BigQuery, without writing code. Which Google Cloud BI tool should they use?

Question 119hardmultiple choice

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A company has a batch processing job that reads data from Cloud Storage, transforms it, and writes to BigQuery. The job runs nightly and takes approximately 2 hours. The team wants to reduce costs by using a managed service that automatically provisions and de-provisions resources. Which service should they use?

Question 120mediummultiple choice

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A DevOps team wants to automatically build a Docker image from a GitHub repository and store it in a private registry whenever a new tag is pushed. Which Google Cloud services should they combine?

Question 121mediummulti select

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A company runs a high-performance computing (HPC) workload on Compute Engine that requires low-latency, high-throughput scratch storage. The workload is checkpointed every hour. Which TWO storage options should the engineer consider for the scratch storage? (Choose 2)

Question 122mediummultiple choice

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A company is migrating a legacy monolithic application to Google Cloud. They want to reduce operational overhead by eliminating server management while keeping the ability to run containers. The application has unpredictable traffic patterns and needs to scale to zero when idle. Which compute option is the best fit?

Question 123easymultiple choice

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What is the primary benefit of using preemptible VMs on Compute Engine?

Question 124hardmultiple choice

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An online retailer stores product images in a Cloud Storage bucket. Current access patterns: images uploaded once and read frequently for 30 days, then accessed rarely after 90 days, and must be retained for 7 years for compliance. Which storage class transition strategy minimizes cost while meeting requirements?

Question 125mediummultiple choice

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A development team runs a web application on Cloud Run. They need to store session state across requests. Which Google Cloud service should they use?

Question 126mediummultiple choice

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A financial services company needs a relational database with global strong consistency, horizontal scaling, and 99.999% availability SLA. Which database should they choose?

Question 127easymultiple choice

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Which Google Cloud service is a fully managed, serverless data warehouse for running SQL queries on petabyte-scale datasets?

Question 128hardmultiple choice

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A company uses Cloud Functions to process image uploads. Each image triggers a function that uses Vision API to extract text and stores results in Firestore. The function sometimes fails due to timeout when images are large. How should they redesign for reliability and scale?

Question 129mediummultiple choice

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A data engineer needs to process streaming clickstream data in real-time, apply transformations, and write the output to BigQuery. Which Google Cloud service is built for this use case?

Question 130hardmultiple choice

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An organization runs a multi-region web application behind a global external HTTP(S) load balancer. They want to protect against DDoS attacks and filter traffic based on IP reputation and request headers. Which service should they integrate with the load balancer?

Question 131easymultiple choice

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Which Google Cloud service provides a unified platform for building, training, and deploying machine learning models at scale?

Question 132mediummultiple choice

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An analytics team needs to create dashboards and visualizations from data stored in BigQuery. They want a free solution that integrates natively. Which tool should they use?

Question 133mediummulti select

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A company is building a real-time leaderboard for an online game using Google Cloud. They need a database that can handle millions of updates per second with low latency and serve the current top scores. Which TWO services should they use together? (Choose 2)

Question 134easymultiple choice

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A developer wants to deploy a containerized web application that can scale to zero when not in use, and only pay for actual request processing time. Which Google Cloud compute service should the developer use?

Question 135mediummultiple choice

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A data engineering team needs to process streaming data from Cloud Pub/Sub, perform transformations, and write the results to BigQuery. The team requires exactly-once processing semantics and automatic scaling. Which service should they use?

Question 136mediummultiple choice

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A security team needs to protect a web application behind an HTTP(S) Load Balancer from SQL injection and cross-site scripting (XSS) attacks. Which Google Cloud service provides these protections?

Question 137easymultiple choice

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A startup wants to run a Node.js web application with zero server management and automatic scaling. They expect unpredictable traffic and want to minimise costs. Which Google Cloud service should they choose?

Question 138mediummultiple choice

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A company runs batch analytics jobs every night using Apache Spark on a cluster. The jobs require 100 vCPUs and run for 3 hours. The cluster must be created, run, and then shut down automatically to minimise cost. Which service should they use?

Question 139hardmultiple choice

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A DevOps engineer wants to automatically delete a Cloud Storage object after 30 days from creation. The object is stored in a bucket with the 'Standard' storage class. Which approach should the engineer use?

Question 140easymultiple choice

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A company wants to migrate its on-premises MySQL database to Google Cloud with minimal changes to the application. Which managed database service should they use?

Question 141mediummultiple choice

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A company runs a video processing application that triggers a function each time a new video is uploaded to Cloud Storage. The function transcodes the video and stores the result. Which compute service is BEST suited for this event-driven workload?

Question 142mediummultiple choice

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A data analyst needs to create interactive dashboards and reports from data stored in BigQuery. They want a fully managed business intelligence platform without building custom applications. Which Google Cloud product should they use?

Question 143mediummulti select

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A company wants to run a critical stateful application on Compute Engine with the highest availability. The application requires block storage that can survive a zone failure. Which TWO actions should they take? (Choose TWO)

Question 144hardmulti select

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A company is building a microservices architecture on Google Kubernetes Engine (GKE). They need to expose services externally with HTTPS, distribute traffic across the cluster, and protect against DDoS attacks. Which THREE Google Cloud services should they combine? (Choose THREE)

Question 145easymulti select

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A developer wants to deploy a serverless application that runs code in response to HTTP requests and events from other Google Cloud services. They also need to store configuration and session data in a fast, in-memory data store. Which TWO services should they use? (Choose TWO)

Question 146easymultiple choice

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A developer wants to deploy a containerized web application that automatically scales to zero when not in use, and they want to minimize operational overhead. Which compute service should they use?

Question 147hardmultiple choice

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A data engineer needs to process a continuous stream of clickstream events from multiple sources, aggregate them into 1-minute windows, and write the results to BigQuery for real-time dashboarding. The solution must handle exactly-once processing semantics. Which combination of services should they use?

Question 148easymultiple choice

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A company needs to perform interactive SQL analytics on petabytes of data without managing any infrastructure. They need to query data stored in Cloud Storage and want the fastest query performance. Which Google Cloud service should they use?

Question 149mediummultiple choice

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A developer is deploying a web application on Compute Engine and needs to distribute traffic across multiple VM instances in different regions. They also need SSL termination and health checks. Which Google Cloud networking service should they use?

Question 150mediummultiple choice

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A company has a batch processing job that runs once per day and can be interrupted without significant impact. They want to reduce costs by using Google Cloud infrastructure. Which compute option should they choose?

Question 151hardmultiple choice

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A security engineer wants to block malicious traffic patterns at the edge of Google's network before it reaches their application. Which service should they configure?

Question 152easymultiple choice

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A startup is building a mobile app and needs a real-time database that synchronises data across user devices automatically. The data model is document-based, and the app needs offline support. Which database should they use?

Question 153hardmultiple choice

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A data scientist wants to train a custom machine learning model using their own data and deploy it for online predictions. They want a unified platform that manages the entire ML lifecycle from data preparation to model serving. Which service should they use?

Question 154mediummulti select

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A company wants to implement a serverless event-driven architecture where object uploads to Cloud Storage trigger a function that processes the file and stores results in Firestore. The function needs to be written in Python. Which three Google Cloud services are required?

Question 155hardmulti select

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A company needs to run a Hadoop/Spark workload on Google Cloud. They must use existing YARN applications and need to optimise for cost by using preemptible VMs for task nodes. Which three services should they use?

Question 156mediummulti select

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A company is migrating its on-premises PostgreSQL database to Google Cloud. They need a managed service that is fully compatible with PostgreSQL, offers high availability, and provides automated backups. Which TWO Google Cloud services should they consider?

Question 157hardmulti select

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A company runs a containerized microservices application on Google Kubernetes Engine (GKE). They want to expose a set of services externally with a single IP address, implement SSL termination, and protect against DDoS attacks. Which THREE Google Cloud services should they use together?

Question 158mediummulti select

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A data engineering team needs to process streaming data from IoT devices, perform real-time transformations, and load the results into BigQuery for analysis. Which TWO Google Cloud services should they use?

Question 159hardmulti select

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A company wants to reduce costs for its batch processing jobs that run nightly on Compute Engine. The jobs are fault-tolerant and can be interrupted. They are considering using preemptible VMs. Which THREE statements about preemptible VMs are true?

Question 160mediummulti select

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A company wants to deploy a web application that automatically scales based on traffic, and they do not want to manage infrastructure. The application is written in Python and uses a Flask framework. Which TWO Google Cloud services could they use?

Question 161easymulti select

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A company wants to store archival data that is accessed less than once a year and needs the lowest storage cost. Which TWO Cloud Storage classes are most cost-effective for this use case?

Question 162mediummulti select

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A company is building a data pipeline that ingests events from multiple sources, processes them in real-time, and stores the results in a data warehouse for analysis. They need a fully managed, serverless solution for stream processing. Which THREE Google Cloud services should they use?

Question 163hardmulti select

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A company has a multi-regional deployment of a web application on Compute Engine. They want to improve latency for users worldwide and reduce load on the origin servers. They also need to protect against SQL injection and cross-site scripting attacks. Which TWO Google Cloud services should they implement?