GCP Platform Cheat Sheet Flashcards

1
Q

App Engine

A

PaaS, Managed app platform

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2
Q

Cloud Functions

A

Event-driven serverless execution environment for building and connecting cloud services

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3
Q

Cloud Run

A

Serverless for containerized applications. Cloud Run is a managed compute platform that automatically scales your stateless containers.

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4
Q

Compute Engine

A

IaaS, VMs, GPUs, TPUs, Disks

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5
Q

Kubernetes Engine (GKE)

A

Google Kubernetes Engine (GKE) is a managed, production-ready environment for deploying containerized applications

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6
Q

Anthos

A

Enterprise hybrid/multi-cloud platform. Anthos is an open application modernization platform that enables you to modernize your existing applications, build new ones, and run them anywhere.

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7
Q

Cloud Storage

A

Object storage and serving. Google Cloud Storage is unified object storage for developers and enterprises, from live applications data to cloud archival.

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8
Q

Nearline

A

Archival occasional access storage

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9
Q

Coldline

A

Archival rare access storage

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10
Q

Persistent Disk

A

VM-attached disks

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11
Q

Cloud Filestore

A

Managed NFS server. Cloud Filestore is a managed file storage service for applications that require a filesystem interface and a shared filesystem for data.

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12
Q

Cloud Bigtable

A

Petabyte-scale, low-latency, non-relational. Google Cloud Bigtable is a high performance NoSQL database service for large analytical and operational workloads.

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13
Q

Cloud Datastore

A

Horizontally scalable document DB. Cloud Datastore is a highly-scalable NoSQL database for your applications. Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications’ load.

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14
Q

Cloud Firestore

A

Strongly-consistent serverless document database. Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud Platform

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15
Q

Cloud Memorystore

A

Managed Redis. Use Cloud Memorystore to build application caches that provides sub-millisecond data access.

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16
Q

Cloud Spanner

A

Horizontally scalable relational DB. Cloud Spanner is the first scalable, enterprise-grade, globally-distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with non-relational horizontal scale

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17
Q

Cloud SQL

A

Managed MySQL and PostgreSQL. Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud Platform

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18
Q

BigQuery

A

Serverless data warehouse/analytics. BigQuery is a RESTful web service that enables interactive analysis of massive datasets working in conjunction with Google Storage.

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19
Q

BigQuery BI Engine

A

In-memory analytics engine. Power fast visual analytics and BI dashboards on GCP.

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20
Q

BigQuery ML

A

BigQuery model training/serving. BigQuery ML enables users to create and execute machine learning models in BigQuery using standard SQL queries

21
Q

Cloud Composer

A

Cloud Composer is a fully managed workflow orchestration service that empowers you to author, schedule, and monitor pipelines that span across clouds and on-premises data centers.

22
Q

Cloud Data Fusion

A

Cloud Data Fusion is essentially a graphical, no-code tool to build data pipelines.

23
Q

Cloud Dataflow

A

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness

24
Q

Cloud Datalab

A

Cloud Datalab is a Jupyter notebook environment with powerful interactive tools created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud

25
Q

Cloud Dataprep

A

Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning.

26
Q

Cloud Dataproc

A

Cloud Dataproc is a fast, easy-to-use, fully managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way.

27
Q

Cloud Pub/Sub

A

Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.

28
Q

Data Catalog

A

Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, manage, and understand all their data in Google Cloud.

29
Q

Data Studio

A

Collaborative data exploration/dashboarding

30
Q

Genomics

A

Cloud Life Sciences (formerly Google Genomics) enables the life sciences community to process biomedical data at scale

31
Q

AI Hub

A

Hosted AI component sharing. AI Hub provides enterprise-grade sharing capabilities that let organizations privately host their AI content to foster reuse and collaboration among machine learning developers and users internally.

32
Q

AI platform

A

AI Platform supports Kubeflow, Google’s open-source platform, which lets you build portable ML pipelines that you can run on-premises or on Google Cloud Platform

33
Q

AI Platform Data Labeling

A

Data Labeling by humans

34
Q

AI Platform Deep Learning VMs

A

Preconfigured VMs for deep learning

35
Q

AI Platform Notebooks

A

Managed JupyterLab notebook instances

36
Q

AI Platform Training

A

Parallel and distributed training

37
Q

AI Platform Predictions

A

Autoscaled model serving

38
Q

AutoML Natural Language

A

Enables you to create custom machine learning models to classify English-language content into a custom set of categories.

39
Q

Stackdriver Debugger

A

Live production debugging. Cloud computing systems management service offered by Google. It provides performance and diagnostics data to public cloud users.

40
Q

Cloud Build

A

Continuous integration, delivery platform. Cloud Build lets you build software quickly across all languages. Get complete control over defining custom workflows for building, testing, and deploying across multiple environments such as VMs, serverless, Kubernetes, or Firebase.

41
Q

Cloud Scheduler

A

Managed cron job service. Cloud Scheduler is a fully managed enterprise-grade cron job scheduler. It allows you to schedule virtually any job, including batch, big data jobs, cloud infrastructure operations, and more

42
Q

Cloud Tasks

A

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch, and delivery of a large number of distributed asynchronous tasks.

43
Q

Cloud data transfer

A

data migration tools/cli. Cloud Data Transfer services help enterprises move data to Google Cloud Platform quickly and securely

44
Q

Apigee API platform

A

develop, secure, monitor APIs. API platforms enable enterprises to accelerate innovation, provide shared services and data, and adapt to market and customer needs.

45
Q

Cloud Endpoints

A

Cloud API gateway. Develop, deploy, protect, and monitor your APIs with Cloud Endpoints

46
Q

Cloud Firestore

A

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

47
Q

Apache Beam

A

an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream (continuous) processing.

48
Q

Kubernetes

A

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.

49
Q

TensorFlow

A

TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks.