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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
cross load balancing
Network and gateway: disabled by default. charged to enable. application: enabled by default. classic: disabled by default-no charge to enable
26
ssl and tll certificates
encrypted connections btwn client and load balancer x509 certificate managed by ACM (amazon certificate manager)
27
SNI
loads multiple ssl and ttl onto one server works for ALB and NLB: not cloufront or Classic
28
connection draining or derigestration delay
EC2 shuts down bc of a health check, default 300 sec. request finished first then ec2 is drained
29
Scaling Groups
Dynamic (target tracking) simple/step triggered by defined cloudwatch alarms scheduled
30
reserved cookie names alb
ELB (AWSALB, AWSALBAPP, AWSALBTG).
31
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
33
cron job
scheduled function-serverless lambda
34
lamba limits
128 M in 10m\gb increments maximum execution-15min m1000 concureent functions size 50MB max or compressed 250MB
35
lambda snapstart
java 11 or above
36
differences between lamada and cloufront edge functions
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
dynamo
rapidly evolving schema up to 400kb provisioned mode On demand mode (auto scaling) (more expensive for sudden spikes and unpredictible data)
38
DAX (DB acceleoator)
in-memory cache microsecond latency made of clusterzs
39
dyanmo Stream processor
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
Dynamo DB TTL
delte items after expire timestamep (auto) good for regulatory obligations, or session handling
41
Dynamo Backup
PITR (point in time recovery) (export into s3) 35 days or dynamo backups. or aws backup service
42
API Gateway
use it to proxy lambda requests. serverless support for websocket protocol use Swagger http (enpoints or load balancer)
43
API gateway enpoint types
edge optimized regional private within vpc
44
cognito
Users get identigy to access a web mobile identity. User pool: app users identy pool: temporary aws resources SAML 100's of users
45
microserves interact how?
Rest api
46
Keyspaces
no squl db apache Cassandra on demand and provisioned
47
ALDB
quantum ledger db, manages application data overtime. No deletes financial regulation rules no decenttalization
48
timestream
time series db
49
Athena
columna query data for less mney. apaceh parquqy or ORC (using Glue) partition data sets for data your are often querying.
50
Resshift
OLAP Redshift postsql data has to be loaded, but faster queries then athena Redshift has Indexes. supports many queries Leader and compute noeds
51
AMAZON OPEN SEARCH
No primary key required provides search abilty in front of the main DB (ex: dynamo) can used with kinesis, or cloudwatch log
52
EMR
Hadoop clusters: big data clusters large amounts of data. master node, core node, task node (optional can run spot). on demand or reserved
53
Glue
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
glue job bookmarks
keeps you from re-unning old data
55
Lake formation
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
Kinesis data analytics
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
Amazon msk
alternative for Kenisis Kafka stream data with consumers and producers from "brokers" kafka topics add partitions but no removing
58
Amazon Rekognition
Facial Analysis db machine learning content moderation: rmoves inappropriate conetnt. set a min confidence threshold
59
amazon augumented ai A2i
manual human review
60
amazon transcribe
convert speech into text vsar automatically removes PII multi-lingual
61
Polly
Text into speech for deep learning uses lexicon and ssml
62
amazon lex
Automatic speech reconition (ASR) helps build chatbots and
63
amazon connect
cloud based virtual contact center
64
Comprehend
NLP
65
sagemaker
fully managed to build machine learning. developers create and build models. train and tune
66
forecast
fully managed to build forecasting
67
Kendra
extract exerpts within a document-builds a knowlege base Machine learning
68
personalize
ML build apps to reccomend items (amazon.com reccommending products)
69
textract
extracts text for ML
70
when cloud trail is enabled, What should you use to detect unusual activity in your AWS Account?
Cloud Trail Data Insights
71
cloudwach metric streams
continually stream metrics into kinesis firehose into s3 or redshfit, or opensearch
72
cloudwatch logs
Store cloudwatch logs expiration: 1 day to 10 years
73
cloudwatch logs
set up ec2 IAM premissions to stream logs from ec2 two kids, agent and unified Unifed can do metrics and logs
74
Cloudwatch Insights and visibility
container insights lambda insights contributors Insights application insights
75
cloudtrail
api calls, governance and compliance accumulate into one s3 bucket
76
Config
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

AWS Arc Associate (24 decks)

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