--- tags: - cloud - l1 - flashcard-deck - gcp-general --- [Portal](../../../../library/portal/index.md) | **Level:** [L1: Foundations](../../../../library/portal/levels.md) | **Topics:** [GCP Troubleshooting](../../../../library/portal/topics.md) | **Domain:** Cloud id category difficulty tags question answer source_path gcp-general/0560db8c7fb4 gcp-general easy gcp,database What is Cloud Datastore? Cloud Datastore is a schemaless NoSQL datastore in Google's cloud. Applications can use Datastore to query your data with SQL-like queries that support filtering and sorting. Datastore replicates data across multiple datacenters, which provides a high level of read/write availability. projects/knowledge/interview/gcp/020-what-is-cloud-datastore.txt gcp-general/09a6f1875601 gcp-general medium gcp,database What all types of databases are suppported by GCP ? AlloyDB, BigTable, Firestore, MemoryStore, Spanner, SQL\n\nRemember: GCP database types by workload: AlloyDB (PostgreSQL-compatible), Bigtable (wide-column NoSQL), Firestore (document), Memorystore (Redis/Memcached cache), Spanner (global relational), Cloud SQL (managed MySQL/PostgreSQL/SQL Server).\n\nGotcha: Spanner is the only globally-consistent relational database — but it is significantly more expensive than Cloud SQL. projects/knowledge/interview/gcp/078-what-all-types-of-databases-are-suppported-by-gcp.txt gcp-general/0d4d8041d10a gcp-general medium gcp,devops Explain TensorFlow on GCP. TensorFlow is an open-source machine learning platform, and GCP provides infrastructure and services to leverage TensorFlow efficiently.\nKey features:\n* High-Performance Computing: GCP offers powerful compute resources to train and deploy TensorFlow models. projects/knowledge/interview/gcp/100-explain-tensorflow-on-gcp.txt gcp-general/1029154f8950 gcp-general medium gcp,networking,storage What are NFS shares ? NFS (Network File System) shares allow multiple instances to access and share a common file system over a network. It's a distributed file system protocol that enables a client to access files over a network as if they were on its local disks. In GCP, NFS shares can be set up using Google Cloud Filestore, providing high-performance, fully managed NFS file servers to store and access data for applications that need shared file systems. projects/knowledge/interview/gcp/054-what-are-nfs-shares.txt gcp-general/107e61d30b54 gcp-general hard gcp,monitoring Explain Google Cloud Trace. Cloud Trace is a performance monitoring tool for understanding and optimizing latency in applications. It provides:\n* Performance Insights: Traces the latency of requests across different services to identify performance bottlenecks.\n* Request Analysis: Helps understand the performance of individual requests and their paths through distributed systems.\n* Debugging and Optimization: Helps in debugging and optimizing the performance of applications. projects/knowledge/interview/gcp/108-explain-google-cloud-trace.txt gcp-general/11d8b2be7203 gcp-general hard gcp,devops Explain AI Platform in GCP. AI Platform provides a comprehensive set of ML services for building, deploying, and managing models. It supports various tasks, such as data preprocessing, model training, and model deployment at scale. AI Platform provides a collaborative environment for data scientists and machine learning engineers to develop and operationalize ML models. projects/knowledge/interview/gcp/145-explain-ai-platform-in-gcp.txt gcp-general/1945f0837955 gcp-general hard gcp, networking, user-management Explain Google Data Studio. Data Studio is a free business intelligence and data visualization tool that turns data into informative reports and dashboards.\nIt allows users to create customizable, informative reports and dashboards using various data sources. Key features include:\n* Data Connectivity: Connects to a wide range of data sources.\n* Interactive Dashboards: Enables the creation of interactive and visually appealing reports.\n* Collaboration: Supports sharing and collaboration on reports within teams. projects/knowledge/interview/gcp/125-explain-google-data-studio.txt gcp-general/23e3b66cfcbe gcp-general easy gcp,networking What is private service connect ? Private Service Connect enables secure and private connectivity between a customer's Virtual Private Cloud (VPC) network and a service provider's network. It allows organizations to consume managed services while keeping the traffic private. projects/knowledge/interview/gcp/080-what-is-private-service-connect.txt gcp-general/25d7a1935ce1 gcp-general easy gcp, control-flow, networking What is spectrum access system ? Spectrum Access System refers to the system managing shared access to spectrum frequencies. It enables dynamic spectrum sharing for communication services, optimizing the utilization of available spectrum resources.\n\nUnder the hood: SAS manages CBRS (Citizens Broadband Radio Service) spectrum in the 3.5 GHz band. More relevant to telecom than typical DevOps.\n\nGotcha: This is a niche GCP offering — most engineers will never use it directly. projects/knowledge/interview/gcp/082-what-is-spectrum-access-system.txt gcp-general/2a837b7c5b8b gcp-general hard gcp, control-flow Describe Edge TPU in GCP. Edge TPU is Google's purpose-built ASIC designed to run machine learning (ML) models for edge devices. It's optimized for running TensorFlow Lite models for efficient machine learning tasks on edge devices. Edge TPUs enable low-latency, high-throughput, and power-efficient machine learning inference on devices, such as IoT devices or local servers, without the need for continuous cloud connectivity. projects/knowledge/interview/gcp/139-describe-edge-tpu-in-gcp.txt gcp-general/34e0f9a1b29b gcp-general medium gcp,networking Describe Google Cloud VPN. Cloud VPN allows secure connections between an on-premises network and GCP using IPsec VPN protocols.\n* Secure Connectivity: Cloud VPN establishes an encrypted IPsec tunnel between the on-premises network and GCP. This ensures secure communication over the public internet. projects/knowledge/interview/gcp/116-describe-google-cloud-vpn.txt gcp-general/3571f1d812ac gcp-general easy gcp,devops What is TensorFlow Extended (TFX)? TFX is an end-to-end platform for deploying production ML pipelines. It's designed to enable the orchestration of ML workflows, ensuring scalability and reproducibility. TFX provides:\n* Data Ingestion and Validation: Integrates data from various sources and validates its quality. projects/knowledge/interview/gcp/122-what-is-tensorflow-extended-tfx.txt gcp-general/3ea105baf131 gcp-general easy gcp, control-flow, text-processing What is capacity planner in GCP ? Capacity Planner in GCP is a tool that assists in estimating the necessary resources for running workloads on Google Cloud. It helps in planning the required capacity of compute, storage, and other resources based on expected usage. projects/knowledge/interview/gcp/084-what-is-capacity-planner-in-gcp.txt gcp-general/3fdd07c9054d gcp-general medium gcp,monitoring What is a RISK Manager ? In the context of GCP, Risk Manager is a tool that allows organizations to identify and manage various types of risks associated with their GCP environment. It enables continuous risk assessment, monitoring, and response by providing insights into vulnerabilities, compliance issues, and threats. Risk Manager helps in creating a risk-aware culture by centralizing risk management activities and streamlining risk mitigation processes. projects/knowledge/interview/gcp/071-what-is-a-risk-manager.txt gcp-general/460a4d6e3cab gcp-general medium gcp,database Explain each of the above databases types. 1. AlloyDB\nAlloyDB is Google's scalable, distributed, in-memory database. It combines the benefits of traditional relational databases with the scale and performance of NoSQL databases, ideal for high-throughput transactional applications.\n2. BigTable projects/knowledge/interview/gcp/079-explain-each-of-the-above-databases-types.txt gcp-general/4de3576697ac gcp-general easy gcp, control-flow, filesystem What is Google Transfer Appliance? It's a physical storage solution for transferring large amounts of data to GCP. This appliance is useful when transferring large datasets that might be impractical to move over the internet due to their size and latency constraints. projects/knowledge/interview/gcp/113-what-is-google-transfer-appliance.txt gcp-general/671dd925ec6f gcp-general medium gcp, boot What is Secure Boot and how does it protect the boot process? Secure Boot is a component of Shielded VMs and is a UEFI feature that ensures the system boots only with signed and verified code, guaranteeing that the operating system and bootloader haven't been tampered with. This prevents the loading of unauthorized firmware and helps protect against boot-level malware or rootkits. projects/knowledge/interview/gcp/050-what-is-secureboot.txt gcp-general/707f015aeba6 gcp-general medium gcp,devops Describe Edge AI in GCP. Edge AI enables running ML models on edge devices to process data locally. GCP provides tools and services for deploying machine learning models to edge devices, allowing real-time processing and decision-making at the edge. projects/knowledge/interview/gcp/147-describe-edge-ai-in-gcp.txt gcp-general/721bca4ca851 gcp-general medium gcp, networking What is Google Cloud Disaster Recovery (DR)? It's a set of strategies and services to recover critical systems and data in case of a disaster. GCP offers various features and capabilities to facilitate disaster recovery planning, such as data replication, failover mechanisms, and geographic redundancy. By leveraging GCP's distributed infrastructure and data replication services, organizations can design and implement robust disaster recovery plans to ensure business continuity in case of unexpected disruptions. projects/knowledge/interview/gcp/138-what-is-google-cloud-disaster-recovery-dr.txt gcp-general/72d4d89f51ed gcp-general easy gcp, control-flow, processes What is Cloud IoT Edge in GCP? Cloud IoT Edge extends Google Cloud's capabilities to the edge for IoT devices, enabling edge computing by providing a framework to run IoT applications and machine learning models directly on IoT devices. It enables local data processing and analysis, reducing latency and optimizing bandwidth usage. projects/knowledge/interview/gcp/148-what-is-cloud-iot-edge-in-gcp.txt gcp-general/81c39235dbf1 gcp-general easy gcp,bigquery What is BigQuery Omni in GCP? BigQuery Omni allows users to analyze data across multiple clouds within a single pane of glass. It allows users to analyze and gain insights from data stored in multiple clouds, enabling seamless data processing and analytics. projects/knowledge/interview/gcp/143-what-is-bigquery-omni-in-gcp.txt gcp-general/82bf3d0d7e33 gcp-general medium gcp,database What is Async Replication ? Async Replication, in the context of databases or storage systems, refers to an asynchronous method of data replication. It involves copying and synchronizing data from a source to a destination in a non-blocking manner. The replication process doesn’t require immediate confirmation of data synchronization and can continue independently, potentially leading to a small delay in data consistency between the source and destination. projects/knowledge/interview/gcp/052-what-is-async-replication.txt gcp-general/876de80c3ce1 gcp-general easy gcp,database What is Bigtable in GCP? Cloud Bigtable is a NoSQL database service for handling large analytical and operational workloads at scale.\n* Scalability and Performance: Bigtable is designed for high scalability and performance, capable of handling petabytes of data with low latency. projects/knowledge/interview/gcp/118-what-is-bigtable-in-gcp.txt gcp-general/8ff2fefca670 gcp-general easy gcp, control-flow What is profiler in GCP ? How is it useful ? Profiler in GCP is a tool for identifying performance bottlenecks in applications. It analyzes code execution and provides insights into performance issues, helping developers optimize and fine-tune their applications.\n\nUnder the hood: Cloud Profiler uses statistical sampling with minimal overhead (~0.5% CPU). It captures CPU, heap, and thread profiles.\n\nAnalogy: Profiler is to production code what a blood test is to health — continuous low-overhead monitoring that catches problems early. projects/knowledge/interview/gcp/083-what-is-profiler-in-gcp-how-is-it-useful.txt gcp-general/adcada274815 gcp-general easy gcp,monitoring What is Cloud Trace in GCP? Cloud Trace is a distributed tracing system for generating latency reports. It provides detailed information about how long it takes for a request to travel through various components of a distributed application, allowing for performance improvements and troubleshooting. projects/knowledge/interview/gcp/142-what-is-cloud-trace-in-gcp.txt gcp-general/b929bb3bf806 gcp-general easy gcp,devops What is Dialogflow in GCP? Dialogflow is a natural language understanding platform for building conversational applications. It enables developers to design and deploy conversational interfaces, supporting multiple platforms and languages, facilitating natural and rich interactions with users. projects/knowledge/interview/gcp/146-what-is-dialogflow-in-gcp.txt gcp-general/c4764045c620 gcp-general medium gcp,monitoring Explain Cloud Monitoring in GCP. Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud resources. It provides insights through dashboards, alerts, and other tools, helping users monitor, troubleshoot, and optimize their cloud-based systems. projects/knowledge/interview/gcp/141-explain-cloud-monitoring-in-gcp.txt gcp-general/c6e881142f9d gcp-general easy gcp,storage What is Cloud Storage Transfer Service? It's a service for transferring large amounts of data from other cloud providers or on-premises to GCP storage. It allows seamless and secure transfers while handling the complexities of large-scale data migration. projects/knowledge/interview/gcp/090-what-is-cloud-storage-transfer-service.txt gcp-general/d4127e820771 gcp-general medium gcp,monitoring What is Stackdriver in GCP? Stackdriver is a monitoring, logging, and diagnostics service, providing insights into applications on GCP. It includes:\n* Monitoring: Real-time performance metrics and uptime monitoring for applications and infrastructure.\n* Logging: Centralized log management and analysis across applications and systems.\n* Error Reporting: Insights into application errors and exceptions for debugging and improvement. projects/knowledge/interview/gcp/107-what-is-stackdriver-in-gcp.txt gcp-general/ddf3130932b8 gcp-general medium gcp,storage How do you list buckets? Two ways to do that:\n \n $ gsutil ls\n \n $ gcloud alpha storage ls\n\nRemember: gsutil is the legacy CLI. gcloud storage is the modern replacement (faster, unified). Both work.\n\nGotcha: gsutil ls shows all buckets in the current project. Use gsutil ls gs://bucket-name/ to list objects inside a bucket. projects/knowledge/interview/gcp/023-how-do-you-list-buckets.txt gcp-general/e68a6ce1801d gcp-general easy gcp,networking What are network tags and how are they different from labels? As the name suggests, network tags can be applied only to network resources.\nWhile labels don't affect the resources on which they are applied, network tags do affect resources (e.g. firewall access and networking routes) projects/knowledge/interview/gcp/013-what-are-network-tags-and-how-are-they-different-f.txt gcp-general/e7d76f3c5874 gcp-general easy gcp,devops What does the following command do? `gcloud deployment-manager deployments create` Deployment Manager creates a new deployment.\n\nUnder the hood: Deployment Manager uses YAML/Jinja2/Python templates to define GCP resources declaratively — GCP's native IaC tool.\n\nGotcha: Deployment Manager is being superseded by Terraform and Pulumi in most organizations. Consider those for new projects.\n\nAnalogy: Deployment Manager is to GCP what CloudFormation is to AWS. projects/knowledge/interview/gcp/025-what-the-following-commands-does-gcloud-deployment.txt gcp-general/ead38ff08cd7 gcp-general hard gcp, control-flow Explain Google Cloud AutoML. AutoML is a suite of machine learning products for developers with limited ML expertise to train high-quality models. It provides tools for building high-quality custom machine learning models with minimal coding. AutoML includes:\n* AutoML Vision: Enables the creation of custom image recognition models.\n* AutoML Natural Language: Allows the training of custom text analysis models.\n* AutoML Tables: Supports building predictive models for structured data without requiring deep ML expertise. projects/knowledge/interview/gcp/121-explain-google-cloud-automl.txt gcp-general/eb785d9e4bac gcp-general medium gcp, logging, processes Explain the Cloud Migration Service on GCP. The service helps move on-premises workloads to GCP efficiently and securely. The service offers tools, methodologies, and best practices to streamline the migration process.\n\nRemember: GCP migration tools include Migrate for Compute Engine (VM migration), Migrate for GKE (container migration), and Database Migration Service.\n\nGotcha: Migration is not just lift and shift — plan for networking, IAM, and service account differences. projects/knowledge/interview/gcp/114-explain-the-cloud-migration-service-on-gcp.txt --- ## Wiki Navigation ### Related Content - GCP Compute Flashcards *(CLI)* (flashcard_deck, L1) — GCP Troubleshooting - GCP Kubernetes Flashcards *(CLI)* (flashcard_deck, L1) — GCP Troubleshooting - GCP Networking Flashcards *(CLI)* (flashcard_deck, L1) — GCP Troubleshooting - GCP Security Flashcards *(CLI)* (flashcard_deck, L1) — GCP Troubleshooting - [GCP Troubleshooting](../../../../library/topics/gcp-troubleshooting/index.md) (Topic Pack, L1) — GCP Troubleshooting - GCP Troubleshooting Flashcards *(CLI)* (flashcard_deck, L1) — GCP Troubleshooting