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GCP Cloud Leader > Google Cloud Product Flashcards > Flashcards

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
Q

Unify stream and batch data processing that’s serverless, fast, (real-time) and cost-effective.

A

Dataflow.
Data analytics.
Serverless data processing.

26
Q

Business intelligence software and big data analytics platform that helps you explore analyze and share real-time business analytics easily.

A

Looker.
Data analytics.
Business intelligence.

27
Q

Quickly build and manage data pipelines using fully managed code-free data integration with a graphical interface.

A

Cloud Data Fusion.
Data Analytics
Data Integration

28
Q

Discover and understand your data using a fully managed and scalable data discovery and metadata management service.

A

Cloud Catalogue.
Data Analytics
Data Discovery & Metadata Management

29
Q

Create, schedule, monitor and manage workflows using a fully managed orchestration service build on Apache Airflow.

A

Cloud composer.
Data analytics.
Workflow orchestration.

30
Q

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.

A

Pub/Sub
Data Analytics
Messaging

31
Q

Intelligence data service for visually exploring cleaning and preparing structured and unstructured data for analysis, reporting and machine in learning.

A

Dataprep.
Data analytics.
Intelligent data preparation.

32
Q

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.

A

Cloud storage.
Storage.
File storage.

33
Q

Store data from VM Instances running in Compute Engine or GKE, Google Cloud’s state os the art block storage offering.

A

Persistent Disk.
Storage
Block storage.

34
Q

High performance fully managed file storage.

A

Filestore.
Storage.
File Storage.

35
Q

Help protect your services against DoS and web attacks.

A

Cloud Armor.
Networking.
Web application firewall.

36
Q

Cloud virtual private network. Securely extend your on-premises network to google’s network through an IPsec VPN tunnel.

A

Cloud VPN
Networking.
Virtual private network.

37
Q

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.

A

Cloud VPC
Networking.
Virtual Private Cloud.

38
Q

Low latency, high availability connections that enable you to reliably transfer data between your on-premises and Google Cloud Virtual Private Cloud (VPC) networks.

A

Cloud interconnect.
Networking.
Virtual networks.

39
Q

Fully managed service that allows you to easily and securely connect, manage and ingest data from millions of globally dispersed devices.

A

IoT Core.
Internet of Things (IoT).
Device Management.

40
Q

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.

A

Apigee API Platform
API Management
Expensive| Feature Heavy API Gateway.

41
Q

Develop, deploy and manage APIs on Google Cloud. Cheap and simple good integrations with APP Engine.

A

Cloud Endpoints
API Management
Cheap | Feature Light API Gateway

42
Q

Create a lightweight portal that enables developers and API teams using a turnkey self-service platform.

A

Developer Portal.
API Management
Feature of Cloud Endpoint

43
Q

Cloud Monitoring provides visibility into the performance, availability and overall health of cloud-powered applications.

A

Cloud Monitoring.
Operations.
Monitoring.

44
Q

Investigate bad code behavior in production for applications.

A

Cloud Debugger.
Operations
Application Debugger.

45
Q

Infrastructure as Code deployment service that automates the creation and management of Google Cloud resources.

A

Cloud Deployment Manager.
IaC
Infrastructure as Code

46
Q

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.

A

Anthos.
Application Management Platform.
Infrastructure as Code.

47
Q

Migrating open source relational databases like SQL. Serverless, easy, minimum downtime migrations to cloud SQL.

A

Database Migration Service (DMS)
Migration
SQL Database Migration

48
Q

Automate scheduled data movement into BigQuery using a fully managed data import service.

A

BigQuery Data Transfer Service
Migration
Data Migration to Analytics Service

49
Q

Migrate servers and VMs from on-premises or another cloud to Compute Engine.

A

Migration for Compute Engine.
Migration
VM or Server Migration

50
Q

Migrate VMs from on-premises or other clouds directly into containers in GKE.

A

Migrate of Anthos
Migration
Container Migration

51
Q

Transfer data between cloud storage services such as AWS S3 and Cloud Storage.

A

Cloud Storage Transfer Service Migration
Virtual Storage Migration

52
Q

Ship large volumes of data to Google Cloud using reckable storage or large physical drives.

A

Transfer Appliance.
Migration
Physical Storage Migration.

53
Q

Build, deploy and scale ML models faster with pre-trained and custom tooling within a unified artificial intelligence platform.

A

Vertex AI
Artificial Intelligence
End-to-end AI tools

54
Q

Open source software library for machine learning and artificial intelligence.

A

Tensorflow.
Artificial intelligence.
Deep learning/machine learning framework.

55
Q

Custom machine learning models with minimal effort and machine learning expertise.

A

AutoML
Artificial intelligence
Pre-created and easy to use ML

56
Q

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.

A

AutoML Tables
Artificial intelligence
Easy to use ML with structured data.

57
Q

Derive insights from your images in the cloud or at the edge with use pre-trained models to detect emotion, understand text and more.

A

Vision AI
Artificial intelligence
ML for image prediction and detection.

58
Q

Precise video analysis that recognize over 20,000 objects places and actions in video.

A

Video AI
Artificial intelligence
ML for video analysis

GCP Cloud Leader (2 decks)

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