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AWS Arc Associate > UDEMY 2 > Flashcards

UDEMY 2 Flashcards

1
Q

Two flavors of Windows FsX

A

SSD: faster more expensive
HDD: broad spectrum of workloads
can be multi az and vpn or direct connect

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2
Q

FsX for Lustre

A

Linux + Cluster
High performing HPC
Machine learning
seamless integration with S3

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3
Q

Datasync

A

Prserves the metadata..replications of large data s3, efs, fsx (can be used with snowcone).

moves data between on premises and AWS Storage services

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4
Q

Long polling

A

optimize api calls
decreases latency

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5
Q

fifo sqs

A

lower throughput
messages processed in order

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6
Q

SQS with database

A

requests go into SQS que and then autoscaling automatically as a buffer

decoupling sudden time outs

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7
Q

sns topic publish

A

create topic
create subscription(s)
Publish topic

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8
Q

SNS direct publish

A

create a platform app
create a platform endpoint
publish to platform endpoint

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9
Q

sns + sqs fanout

A

sns topic feeds into appropriate sqs cues

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10
Q

SQS access policies

A

work like bucket policies

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11
Q

SNS message filtering

A

json policy to filter message in the sns message topics

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12
Q

Kinesis

A

collect process and analyze data real time

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13
Q

Kinesis Data Streams

A

Stream big data (Shards)
data gets split into shards
come from several producers at once then read by many different consumers
assigned Partition keys: go to the same shard

provisioned mode or pay per shard per hours

On demand: autoscaling per stream per hours gb inout Real time and customer managed
storage btwn 1 -365 days

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14
Q

Kinesis Firehose

A

producers can be applications, kiniesis data stream and kiesis data streams. data is batched and written to destinations.
could be amazon s3, redshift, or opensearch (or 3rd party) or custom destination Near real time and fully managed no storage

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15
Q

amazon mq

A

traditional message protocl when migrating w/o changing.

runs on servers
no scaliing

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16
Q

ECS

A

Instance profile and roles per task

manage ec2

efs is ideal

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17
Q

fargate

A

dont’ manage ec2
efs is ideal

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18
Q

ECS auto scaling

A

cpu
alb reuest count
memory

ecs cluster capacity provider

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19
Q

AWS app runner service

A

fully managed ease to deploy web applications and api calls/use with containers

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20
Q

provisioned iops ssd ecs
io1 io2

A

database
(multi attach 16 instances supported
write and read)

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21
Q

st 1sc1

A

cannot be boot volume
archived data lowest cost

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22
Q

efs

A

linux not windows
bursting provisioned elastic
storage tiers
standard, or infrequent IA (lifecycle policy)

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23
Q

Gateway Load balancer

A

Level 3 GENEVE Port 6081
target groups: instances, private ips

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24
Q

sticky sessions

A

ElB works with cookies instead of a spread. client goes to same instance. network, classic, and application Lb only

custom cookies or application cookies

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25
Q

cross load balancing

A

Network and gateway: disabled by default. charged to enable.

application: enabled by default.

classic: disabled by default-no charge to enable

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26
Q

ssl and tll certificates

A

encrypted connections btwn client and load balancer

x509 certificate managed by ACM (amazon certificate manager)

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27
Q

SNI

A

loads multiple ssl and ttl onto one server works for ALB and NLB: not cloufront or Classic

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28
Q

connection draining or derigestration delay

A

EC2 shuts down bc of a health check, default 300 sec. request finished first then ec2 is drained

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29
Q

Scaling Groups

A

Dynamic (target tracking)
simple/step triggered by defined cloudwatch alarms
scheduled

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30
Q

reserved cookie names alb

A

ELB (AWSALB, AWSALBAPP, AWSALBTG).

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31
Q
A

When using an Application Load Balancer to distribute traffic to your EC2 instances, the IP address you’ll receive requests from will be the ALB’s private IP addresses. To get the client’s IP address, ALB adds an additional header called “X-Forwarded-For” contains the client’s IP address.

32
Q
A
33
Q

cron job

A

scheduled function-serverless lambda

34
Q

lamba limits

A

128 M in 10m\gb increments

maximum execution-15min
m1000 concureent functions

size 50MB max or compressed 250MB

35
Q

lambda snapstart

A

java 11 or above

36
Q

differences between lamada and cloufront edge functions

A

cloudfront: Java high scale cdn functions: viewer requests/response only. (millions of requests per sec) less then one milisecond execution time

Lambda: Nodejs or Python. Viewer request/Origin Request/Origin,viewer response (thousands of request per sec)

37
Q

dynamo

A

rapidly evolving schema
up to 400kb
provisioned mode
On demand mode (auto scaling) (more expensive for sudden spikes and unpredictible data)

38
Q

DAX (DB acceleoator)

A

in-memory cache
microsecond latency
made of clusterzs

39
Q

dyanmo Stream processor

A

real time analytics
Real time changes reaction
cross region replication

dynamo DB streams or
Kinesis Data Streams (longer retention and users) more way to analyze

40
Q

Dynamo DB TTL

A

delte items after expire timestamep (auto) good for regulatory obligations, or session handling

41
Q

Dynamo Backup

A

PITR (point in time recovery) (export into s3) 35 days
or dynamo backups.
or aws backup service

42
Q

API Gateway

A

use it to proxy lambda requests. serverless
support for websocket protocol
use Swagger
http (enpoints or load balancer)

43
Q

API gateway enpoint types

A

edge optimized
regional
private within vpc

44
Q

cognito

A

Users get identigy to access a web mobile identity.
User pool: app users
identy pool: temporary aws resources
SAML 100’s of users

45
Q

microserves interact how?

A

Rest api

46
Q

Keyspaces

A

no squl db apache Cassandra on demand and provisioned

47
Q

ALDB

A

quantum ledger db, manages application data overtime. No deletes

financial regulation rules
no decenttalization

48
Q

timestream

A

time series db

49
Q

Athena

A

columna query data for less mney. apaceh parquqy or ORC (using Glue)

partition data sets for data your are often querying.

50
Q

Resshift

A

OLAP Redshift postsql
data has to be loaded, but faster queries then athena
Redshift has Indexes.
supports many queries

Leader and compute noeds

51
Q

AMAZON OPEN SEARCH

A

No primary key required
provides search abilty in front of the main DB (ex: dynamo)

can used with kinesis, or cloudwatch log

52
Q

EMR

A

Hadoop clusters: big data clusters large amounts of data.

master node, core node, task node (optional can run spot).
on demand or reserved

53
Q

Glue

A

ETL service extracts, tranforms and loads data for analytics

Converts the data to parquet format

Glue data catalog: essentail to emr, redshift, and redshift

glue elastic views; spreads across dbs

54
Q

glue job bookmarks

A

keeps you from re-unning old data

55
Q

Lake formation

A

Creates data lakes
fully managed
layered on top of glue

athena, redshift emr

Centralized permissions are a huge advantage. access control and row column security

56
Q

Kinesis data analytics

A

2 kinds
sql applicaitons: data streams and firehose
pay for consumption

for apache flink: write using java or sql. must be write as code on a dedicated cluster. flink is more powerful then sql

57
Q

Amazon msk

A

alternative for Kenisis
Kafka
stream data with consumers and producers from “brokers”

kafka topics
add partitions but no removing

58
Q

Amazon Rekognition

A

Facial Analysis db
machine learning
content moderation: rmoves inappropriate conetnt. set a min confidence threshold

59
Q

amazon augumented ai A2i

A

manual human review

60
Q

amazon transcribe

A

convert speech into text
vsar
automatically removes PII
multi-lingual

61
Q

Polly

A

Text into speech for deep learning
uses lexicon and ssml

62
Q

amazon lex

A

Automatic speech reconition (ASR)

helps build chatbots and

63
Q

amazon connect

A

cloud based virtual contact center

64
Q

Comprehend

A

NLP

65
Q

sagemaker

A

fully managed to build machine learning. developers create and build models. train and tune

66
Q

forecast

A

fully managed to build forecasting

67
Q

Kendra

A

extract exerpts within a document-builds a knowlege base Machine learning

68
Q

personalize

A

ML build apps to reccomend items (amazon.com reccommending products)

69
Q

textract

A

extracts text for ML

70
Q

when cloud trail is enabled, What should you use to detect unusual activity in your AWS Account?

A

Cloud Trail Data Insights

71
Q

cloudwach metric streams

A

continually stream metrics into kinesis firehose into s3 or redshfit, or opensearch

72
Q

cloudwatch logs

A

Store cloudwatch logs
expiration: 1 day to 10 years

73
Q

cloudwatch logs

A

set up ec2 IAM premissions to stream logs from ec2

two kids, agent and unified
Unifed can do metrics and logs

74
Q

Cloudwatch Insights and visibility

A

container insights
lambda insights
contributors Insights
application insights

75
Q

cloudtrail

A

api calls, governance and compliance
accumulate into one s3 bucket

76
Q

Config

A

Auditing and compliance of your services

can run events as configs change, or on an event schedule

link to cloudtrail.
you can remediate using an ssm automation document.

77
Q
A

AWS Arc Associate (24 decks)

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