GCP Services Flashcards

1
Q

Managed App Platform

A

App Engine

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2
Q

Event-driven serverless functions

A

Cloud Functions

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3
Q

Serverless for containerized apps

A

Cloud Run

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4
Q

VMs, with ability to add GPUs, TPUs, and Disks

A

Compute Engine

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5
Q

Managed Kubernetes Service

A

Kubernetes Engine (GKE)

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6
Q

Enterprise hybrid/multi-cloud platform

A

Anthos

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7
Q

Object storage and serving

A

Cloud Storage

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8
Q

Archival storage - no more than once per year

A

Archive Storage

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9
Q

Archival storage - no more than once per quarter

A

Coldline Storage

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10
Q

Infrequent access storage - no more than once a month

A

Nearline Storage

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11
Q

GCP Storage Class used for frequent access or things that you’ll read or write to often

A

Standard Storage

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12
Q

GCP Storage minimal replication class

A

Regional Storage

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13
Q

GCP Storage - slightly replicated class

A

Dual-region Storage

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14
Q

GCP Storage - fully replicated class

A

Multi-Region Storage

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15
Q

VM-attached disks

A

Persistent Disk

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16
Q

Managed NFS Server

A

Cloud Filestore

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17
Q

Petabyte-scale, low-latency-non-relational database

A

Cloud Bigtable

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18
Q

Horizontally scalable document database

A

Cloud Datastore

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19
Q

Strongly-consistent serverless document database

A

Cloud Firestore

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20
Q

Managed Redis

A

Cloud Memorystore

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21
Q

Horizontally scalable relational database

A

Cloud Spanner

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22
Q

Managed MySQL and PostgreSQL

A

Cloud SQL

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23
Q

Serverless data warehouse designed for use in analytics, that is compatible with ANSI SQL, and has a number of integrations/offered services.

A

BigQuery

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24
Q

In-memory analytics service, used to analyze up to petabytes of data with a sub-second response time and high concurrency.

Offers native integration/export to Data Studio, Looker, and Google Sheets

A

BigQuery BI Engine

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25
ML model training/serving for planet scale structured or semi-structured datasets.
BigQuery ML
26
Managed workflow orchestration service
Cloud Composer
27
Graphically manage data pipelines
Cloud Data Fusion
28
Stream/batch data processing
Cloud Dataflow
29
Managed Jupyter Notebook
Cloud Datalab
30
Visual data wrangling/cleaning for analysis/machine learning
Cloud Dataprep
31
Managed Spark and Hadoop
Cloud Dataproc
32
Global real-time messaging
Cloud Pub/Sub
33
Metadata management service
Data Catalog
34
Collaborative data exporation/dashboarding
Data Studio
35
Managed genomics and biomedical data process, analysis, and annotation service
Cloud Life Sciences (in Beta) (formerly Cloud Genomics)
36
Hosted AI component sharing
AI Hub
37
Managed platform for ML
AI Platform
38
Service for requesting human labeling of a data collection - used for labeling data to train custom ML models
AI Platform Data Labeling service
39
Preconfigured VMs for deep learning
AI Platform Deep Learning VMs
40
Managed JupyterLab notebook instances
AI Platform Notebooks
41
Service for parallel and distributed training of ML training jobs
AI Platform Training (also sometimes called AI Platform Training and Prediction service)
42
Low latency and autoscaled execution of trained ML models
AI Platform Predictions
43
Custom ML models for text processing
AutoML Natural Language
44
Custom structured ML data models
AutoML Tables
45
Service for creating custom ML translation model, particularly ones that are domain specific (using industry Jargon for example)
AutoML Translation
46
Service for creating custom ML models for video annotation
AutoML Video Intelligence
47
Service for creating custom ML models for image classification
AutoML Vision
48
Hosted AI component repository
Cloud AI Building Blocks
49
Service for sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis using pre-trained ML models
Cloud Natural Language API
50
Service for converting speech to text that supports 120 languages, continually improved by ML at scale using every call made to the service
Cloud Speech-to-Text API
51
Service for automatic language detection and translation
Cloud Translation API
52
Service for processing videos with pretrained ML models for video annotation
Cloud Video Intelligence API
53
Service for classifying images using pretrained ML models
Cloud Vision API
54
Hardware acceleration for ML developed by Google
Cloud TPU
55
Conversational interface builder, for web support, automated help channels, and more
Dialogflow Enterprise Edition (or just Dialogflow)
56
Service for analyzing, classifying, organizing, and searching documents powered by ML
Document AI (formerly Document Understanding AI)
57
Fully managed service for automatically providing product recommendations to customers using ML - still in highly limited Beta
Recommendations AI
58
Method of connecting on-prem to GCP by directly connecting to the Google Edge network, often at an Internet Exchange (IXP) - one option for accessing GSuite on-prem
Direct Peering
59
Method of connecting on-prem to GCP through an ISP - one option for accessing GSuite on-prem
Carrier Peering
60
Method of connecting on prem to GCP through an ISP in a way that's easily configurable and flexible for all GCP services except GSuite
Partner Interconnect
61
Method of connecting on prem to GCP directly in a way that's easily configurable and flexible for all GCP services except GSuite. Offers the highest bandwidth of any method of connecting to GCP 10GBPs or 100GBPs
Dedicated Interconnect
62
DDoS protection and WAF (Web Application Firewall) service. Built using the HTTP(S) load balancer and protects services on Layer 3 and Layer 4
Cloud Armor
63
Google service for caching HTTP(S) Load Balanced content at the edge of Google's network to increase serving speed and reliability
Cloud CDN
64
Programmable Domain Name management service
Cloud DNS
65
Internal pass-through (Direct Server Return) load balancer, capable of handling non-HTTP(S) traffic. Regional and only available on premium network tier.
Internal TCP/UPD Load Balancer
66
Internal proxy load balancer, only capable of handling traffic on port 80 & 443. Regional and only available on premium network tier.
Internal HTTP(S) Load Balancer
67
External pass-through (Direct Server Return) load balancer, capable of handling non-HTTP(S) traffic. Regional and available on both Standard and Premium network tier.
External Network TCP/UDP Load Balancer
68
External proxy load balancer, capable of handling most non-UDP/HTTP traffic, but only on ports 25, 43, 110, 143, 195, 443, 465, 587, 700, 993, 995, 1883, & 5222. Available on both Standard and Premium tier. Capable of being Global on the premium tier, otherwise locked to a regional forwarding rule, external IP address, and backend instance group or NEGs, all of which must be in the same region
External TCP Proxy Load Balancer
69
External proxy load balancer, capable of off-loading handling most non-UDP/HTTP traffic, but only on ports 25, 43, 110, 143, 195, 443, 465, 587, 700, 993, 995, 1883, & 5222. SSL is terminated at the load balancer. Can handle IPv6 and proxies to IPv4 on the backend. Available of both Standard and Premium tier. Capable of being Global on the premium tier, otherwise locked to a regional forwarding rule, external IP address and backend instance group or NEG, all of which must be in the same region.
External SSL Proxy Load Balancer
70
External proxy load balancer capable of handling traffic on ports 80 & 443. Does not support mTLS. Available of both Standard and Premium tier. Capable of being Global on the premium tier, otherwise locked to a regional forwarding rule, external IP address and backend instance group or NEG, all of which must be in the same region.
External HTTP(S) Load Balancer
71
Nertwork address translation service
Cloud NAT
72
Service to provide a virtual private connection to GCP over the public internet
Cloud VPN
73
The two different network service tiers that GCP provides are...?
Standard and Premium
74
Service to identify and analyze VPC identity traffic and access patterns
Google Network Telemetry
75
Fully managed service mesh control plane
GCP Traffic Director
76
Fully managed, software defined networking solution
Google VPC
77
Fully managed service for connecting, managing, and ingesting data from millions (or more) of globally dispersed devices.
Cloud IoT Core