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

21
Q

GraphQL tool

22
Q

IoC tools

A

Cloudformation, SAM, CDK

23
Q

Protocol for iot communication

24
Q

Data from a device

25
Runtime for lambda, messaging, device shadow
Greengrass core
26
Group of greengrass devices
Greengrass group
27
Ways to store secrets in devices
Hsm
28
Protocol to get secrets
PKCS
29
Tenant models
Pool vs sili
30
Segment day from iotcore vs kinesis
Topic vs partition key
31
Kinesis components
Stream then shards then data records
32
Channel for iot core
Topic
33
Processing large data in greengrass
Stream manager
34
Extend edge devices to external services
Connectors
35
Message bus for data at edge
Stream manager