Google Cloud Product Flashcards

1
Q

Build and deploy apps on a fully managed highly scalable platform without having to manage the underlying infrastructure

A

App Engine

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2
Q

Create and deploy scalable, high performance VM’s.There are 2 versions standard and flexible.

A

Compute Engine
Compute virtual machines

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3
Q

Reliably, efficiently and securely deploy and scale containerized applications on Kubernetes.

A

Google Kubernetes Engine, GKE
Compute/Containers
Container as a Service/CaaS

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4
Q

Providing hardware to run specialized workloads with low latency on Google Cloud.

A

Bare Metal Solution
Compute

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5
Q

Add GPUs (graphics processing unit) To your workloads for machine learning, scientific computing and 3d visualization.

A

Cloud GPUs
Compute

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6
Q

Help meet compliance, licensing and management needs by keeping your instances physically separated with dedicated hardware.

A

Sole-tenant nodes
Compute
Dedicated virtual machines.

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7
Q

Migrate and run your VMware workloads natively on Google Cloud.

A

Google Cloud VMware Engine
Compute

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8
Q

Migrate servers and virtual machines from on-premises or another cloud to compute engine.

A

Migrate for compute engine
Compute
Dedicated Virtual Machines.

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9
Q

Deploy, affordable short-lived compute instances suitable for batch jobs and fault-tolerant workloads.

A

Preemptable VMs
Compute

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10
Q

Deploy hardened virtual machines on Google cloud.

A

Shielded VMs
Compute

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11
Q

Run your code with zero server management with this scalable, pay as you go function as a service (FaaS) offering.

A

Cloud Functions
Compute
Functions as a Service.

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12
Q

Store, manage and secure your container images. Deploy only trusted containers on GKE.

A

Container registry
Containers
Developer tools.

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13
Q

Consider it as the next generation of container registry. A fully managed service with support for both container images and non-container artifacts.

A

Artifact registry
Containers
Developer tools.

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14
Q

Continuously build, test and deploy containers using the Google Cloud infrastructure.

A

Cloud Build
Containers.
CI/CD

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15
Q

Take advantage of containers reconfigured with data science frameworks, libraries and tools. Efficiently run batch jobs using Kubernates.

A

Deep learning containers
Containers
Artificial intelligence container management.

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16
Q

Deploy pre built containerized apps.

A

Kubernetes applications on Google Cloud Marketplace.
Containers
Pre built containers

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17
Q

Serverless, highly scalable and cost-effective, multi-cloud data warehouse designed for business agility. Built-in ML.

A

Big Query.
Database/Data analytics
Serverless data warehouse.

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18
Q

Run large analytical and operational workloads using this fully managed scalable noSQL database service.

A

Cloud Bigtable
Database
NoSQL: Key-Value.

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19
Q

A highly scalable, NoSQL database for your web and mobile applications.

A

Datastore
Database
NoSQL: indexed

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20
Q

Manage relational data for mySQL, Postgres and SQL Server for workloads under 30 TB.

A

CloudSQL
Database
RDBM

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21
Q

Easily develop rich applications using a fully managed scalable and serverless document database for both web and mobile applications. Key feature: able to start and synch data in real time.

A

Firestore
Database.
NoSQL Document data storage.

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22
Q

Reduce latency with scalable, secure and highly available in-memory service.

A

Memorystore
Database
In-memory data store.

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23
Q

Fully managed relational database with massive scale, strong consistency worldwide and up to 99.999% availability.

A

Cloud spanner
Database
RDCMs for global reach.

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24
Q

Deploy open source data and analytics (Batch) processing services. (Apache Hadoop, Apache Spark etc) with improved efficiency and security.

A

Dataproc
Data Analytics
Open source processing.

25
Unify stream and batch data processing that's serverless, fast, (real-time) and cost-effective.
Dataflow. Data analytics. Serverless data processing.
26
Business intelligence software and big data analytics platform that helps you explore analyze and share real-time business analytics easily.
Looker. Data analytics. Business intelligence.
27
Quickly build and manage data pipelines using fully managed code-free data integration with a graphical interface.
Cloud Data Fusion. Data Analytics Data Integration
28
Discover and understand your data using a fully managed and scalable data discovery and metadata management service.
Cloud Catalogue. Data Analytics Data Discovery & Metadata Management
29
Create, schedule, monitor and manage workflows using a fully managed orchestration service build on Apache Airflow.
Cloud composer. Data analytics. Workflow orchestration.
30
Streaming analytics and data integration pipelines to ingest and distribute data. It is equally effective as a messaging-oriented middleware for service integration or as a queue to parallelize tasks.
Pub/Sub Data Analytics Messaging
31
Intelligence data service for visually exploring cleaning and preparing structured and unstructured data for analysis, reporting and machine in learning.
Dataprep. Data analytics. Intelligent data preparation.
32
Store any amount of data and retrieve it as often as you'd like, using Google Cloud's, object storage offering. Comes in 4 different types: Standard, Nearline, Coldline and Archive.
Cloud storage. Storage. File storage.
33
Store data from VM Instances running in Compute Engine or GKE, Google Cloud's state os the art block storage offering.
Persistent Disk. Storage Block storage.
34
High performance fully managed file storage.
Filestore. Storage. File Storage.
35
Help protect your services against DoS and web attacks.
Cloud Armor. Networking. Web application firewall.
36
Cloud virtual private network. Securely extend your on-premises network to google's network through an IPsec VPN tunnel.
Cloud VPN Networking. Virtual private network.
37
Virtual Private Cloud (VPC) is a logically isolated section of the Google Cloud Network where you can launch Google Cloud resources. You choose a range of IPs using the CIDR Range.
Cloud VPC Networking. Virtual Private Cloud.
38
Low latency, high availability connections that enable you to reliably transfer data between your on-premises and Google Cloud Virtual Private Cloud (VPC) networks.
Cloud interconnect. Networking. Virtual networks.
39
Fully managed service that allows you to easily and securely connect, manage and ingest data from millions of globally dispersed devices.
IoT Core. Internet of Things (IoT). Device Management.
40
Develop, secure, deploy and monitor your API's everywhere. Expensive, but has many advanced features, including analytics, monetization, Apigee Sense, Apigee Hybrid and Cloud Healthcare API.
Apigee API Platform API Management Expensive| Feature Heavy API Gateway.
41
Develop, deploy and manage APIs on Google Cloud. Cheap and simple good integrations with APP Engine.
Cloud Endpoints API Management Cheap | Feature Light API Gateway
42
Create a lightweight portal that enables developers and API teams using a turnkey self-service platform.
Developer Portal. API Management Feature of Cloud Endpoint
43
Cloud Monitoring provides visibility into the performance, availability and overall health of cloud-powered applications.
Cloud Monitoring. Operations. Monitoring.
44
Investigate bad code behavior in production for applications.
Cloud Debugger. Operations Application Debugger.
45
Infrastructure as Code deployment service that automates the creation and management of Google Cloud resources.
Cloud Deployment Manager. IaC Infrastructure as Code
46
Modern application management platform used for managing hybrid architectures that span from Google Cloud to another public cloud (AWS and Azure) or on-premise data centers running VMWare.
Anthos. Application Management Platform. Infrastructure as Code.
47
Migrating open source relational databases like SQL. Serverless, easy, minimum downtime migrations to cloud SQL.
Database Migration Service (DMS) Migration SQL Database Migration
48
Automate scheduled data movement into BigQuery using a fully managed data import service.
BigQuery Data Transfer Service Migration Data Migration to Analytics Service
49
Migrate servers and VMs from on-premises or another cloud to Compute Engine.
Migration for Compute Engine. Migration VM or Server Migration
50
Migrate VMs from on-premises or other clouds directly into containers in GKE.
Migrate of Anthos Migration Container Migration
51
Transfer data between cloud storage services such as AWS S3 and Cloud Storage.
Cloud Storage Transfer Service Migration Virtual Storage Migration
52
Ship large volumes of data to Google Cloud using reckable storage or large physical drives.
Transfer Appliance. Migration Physical Storage Migration.
53
Build, deploy and scale ML models faster with pre-trained and custom tooling within a unified artificial intelligence platform.
Vertex AI Artificial Intelligence End-to-end AI tools
54
Open source software library for machine learning and artificial intelligence.
Tensorflow. Artificial intelligence. Deep learning/machine learning framework.
55
Custom machine learning models with minimal effort and machine learning expertise.
AutoML Artificial intelligence Pre-created and easy to use ML
56
Enables your entire team to automatically build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale.
AutoML Tables Artificial intelligence Easy to use ML with structured data.
57
Derive insights from your images in the cloud or at the edge with use pre-trained models to detect emotion, understand text and more.
Vision AI Artificial intelligence ML for image prediction and detection.
58
Precise video analysis that recognize over 20,000 objects places and actions in video.
Video AI Artificial intelligence ML for video analysis