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
Q

Google Cloud offers:

A

Economies of scale
Automation
Rapid elasticity
Data access

26
Q

An organized collection of data, generally stored in tables and accessed electronically from a computer system

A

Database

27
Q

Refers to the accuracy and consistency of data stored in a datebase

A

Data integrity

28
Q

A managed database service, designated for global scale
Data is automatically and instantly copied across regions (replications)

A

Cloud Spanner

29
Q

Assembles data from multiple sources including databases

A

Data warehouse

30
Q

Repository for raw data and tend to serve many purposes

A

Data lake

31
Q
  1. Any amount of data
  2. Low latency
  3. Accessible from anywhere
A

Cloud Storage Benefits

32
Q

Data you expect to access once a month

A

Nearline Data Storage

33
Q

Data you expect to access once every 90 days or quarter

A

Coldline Data Storage

34
Q

Data you expect to access once a year

A

Archive Data Storage

35
Q

Managed relational database service
Easily integrates with existing GC applications

A

Cloud SQL