CCNA Google Cloud Products and Services Questions

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 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 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?

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 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?

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?

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 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 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?

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 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?

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 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?

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

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?

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

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?

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 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 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 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 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)

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 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 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.)

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?

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

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?

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?

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?

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?

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 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 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)

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 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 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?

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 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?

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?

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?

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

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 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 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 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 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 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?

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 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?

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

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?

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

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 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 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?

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 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 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 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 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?

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 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 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 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 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 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?

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?

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 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?

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 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)