Google Cloud Products and Services

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?

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?

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?

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?

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?

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?

What is the primary purpose of Google Cloud Armor?

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?

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?

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

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?

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?

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)

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)

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?

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?

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?

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?

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?

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?

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?

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

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?

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?

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?

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.)

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.)

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?

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?

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?

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

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?

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?

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?

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?

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?

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?

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

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.)

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?

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?

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?

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?

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?

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?

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?

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?

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)

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)

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?

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?

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?

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?

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

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?

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?

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?

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

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?

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?

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

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.)

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.)

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?

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?

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?

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?

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?

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?

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

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?

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?

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?

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.)

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.)

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?

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?

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

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?

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?

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?

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?

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?

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)

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?

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

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?

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?

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

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

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?

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?

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?

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

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?

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)

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?

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?

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?

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?

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?

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?

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?

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?

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?

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)

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)

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)

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?