GCP Terms Flashcards

1
Q

Object storage service
Stores blob/unstructured data
Has regional storage capabilities
Nearline, coldline and archive data storage abilities

A

Cloud Storage

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2
Q

Data processing service

A

Dataflow

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3
Q

Data warehouse for analytics
Compute power provisioned behind the scenes
Serverless

A

BigQuery

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4
Q

Business Intelligence platform
Sits on top of an analytics database

A

Looker

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5
Q

Delivers highly personalized product recommendations at scale

A

Recommendations AI

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6
Q

Uses AI to unlock insights from documents

A

Document AI

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7
Q

Hosted repository of plug-and-play AI components

A

AI Hub

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8
Q

Uses AI with job search and talent acquisition capabilities

A

Cloud Talent Solution

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9
Q

Helps migrate and run virtual machines in Google Cloud with minimal changes to the VM architecture

A

VMware Engine

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10
Q

Allows organizations to build an application once and run it anywhere (on-premises and in the public cloud)

A

Anthos

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11
Q

APIs can create new business value by connecting legacy systems with new software

A

Benefits of APIs

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12
Q

Employees only have access to the cloud resources necessary for their job

A

Least Privilege Resource Access Model

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13
Q

DevOps Objectives

A
  1. Reduces silos
  2. Accept failure as normal
  3. Implement gradual change
  4. Leverage tooling and automation
  5. Measure everything (measure success)
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14
Q

SRE Best Practices

A
  1. Establish shared ownership of production (define SLOs, calculate error budgets, determine reliability and order work priorities)
  2. Iterative collaborative culture - lessons learned discussions
  3. Reduce cost of failure by rolling out changes to a small percentage of users first
  4. Increase efficiency through toil automation
  5. Track everything related to toil, reliability and system health
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15
Q

SRE

A

Site reliability engineering

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16
Q

DevOps

A

Developers Operations

17
Q

Helps analyze application performance by gathering CPU usage and memory-allocation information (GC Tool)

A

Cloud Profiler

18
Q

Helps monitor application performance (GC Tool)

A

Cloud Debugger

19
Q

Helps developers debug or fix and optimize their code (GC Tool)

A

Cloud Trace

20
Q

Enables users to monitor the performance of their entire cloud architecture (GC Tool)

A

Cloud Monitoring

21
Q

Data Quality components

A
  1. Data cleanliness
  2. Data coverage
  3. Data completeness
22
Q

Data quality component that refers to data consistency

A

Data cleanliness

23
Q

Data quality component that refers to data scope (inputs and outputs)

A

Data coverage

24
Q

Data quality component that refers to the availability of sufficient data

A

Data completeness

25
Google Cloud offers:
Economies of scale Automation Rapid elasticity Data access
26
An organized collection of data, generally stored in tables and accessed electronically from a computer system
Database
27
Refers to the accuracy and consistency of data stored in a datebase
Data integrity
28
A managed database service, designated for global scale Data is automatically and instantly copied across regions (replications)
Cloud Spanner
29
Assembles data from multiple sources including databases
Data warehouse
30
Repository for raw data and tend to serve many purposes
Data lake
31
1. Any amount of data 2. Low latency 3. Accessible from anywhere
Cloud Storage Benefits
32
Data you expect to access once a month
Nearline Data Storage
33
Data you expect to access once every 90 days or quarter
Coldline Data Storage
34
Data you expect to access once a year
Archive Data Storage
35
Managed relational database service Easily integrates with existing GC applications
Cloud SQL