Interview Prep Flashcards

1
Q

What dialer technology did we use

A

Freeswitch and Haskell

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2
Q

Name of place

A

LIFTE

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3
Q

Focus of LIFTE

A

Rail, marine, mining, on road heavy duty. Next comes power generation, industry, distribution

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4
Q

Greengrass

A

IoT framework

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5
Q

Kinesis is like

A

Kafka

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6
Q

Athena

A

Querying s3 like you would using sql

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7
Q

Amplify

A

Build apps fast

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8
Q

AppSync

A

GraphQL

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9
Q

SAM

A

Server less application model

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10
Q

AWS CDK

A

Cloud development kit

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11
Q

Ways to specify AWS resources

A

CDK, SAM and Cloud Formation.

CDK uses python/node, Sam uses json/y’all, cloudformation is harder to use

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12
Q

What did we use to monitor

A

Prometheus/graphana

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13
Q

Who is head of digital

A

Richard Zhang

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14
Q

CTO

A

Angela Ackroyd

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15
Q

CEO

A

Matthew Blieske

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16
Q

UX

A

Zhongqi Fu

17
Q

Pub sub tools

A

Kafka, rabbitMQ, SQS, kinesis

18
Q

IoT tool

A

Greengrass

19
Q

IoT story

A

Device manager - interfaced with medical devices, created a gateway for devices to communicate with

20
Q

App building tool

A

Amplify

21
Q

GraphQL tool

A

AppSync

22
Q

IoC tools

A

Cloudformation, SAM, CDK

23
Q

Protocol for iot communication

A

MQTT

24
Q

Data from a device

A

Telemetry

25
Q

Runtime for lambda, messaging, device shadow

A

Greengrass core

26
Q

Group of greengrass devices

A

Greengrass group

27
Q

Ways to store secrets in devices

A

Hsm

28
Q

Protocol to get secrets

A

PKCS

29
Q

Tenant models

A

Pool vs sili

30
Q

Segment day from iotcore vs kinesis

A

Topic vs partition key

31
Q

Kinesis components

A

Stream then shards then data records

32
Q

Channel for iot core

A

Topic

33
Q

Processing large data in greengrass

A

Stream manager

34
Q

Extend edge devices to external services

A

Connectors

35
Q

Message bus for data at edge

A

Stream manager