AWS Services

Question 1

Amazon Athena

Answer 1

Analytics

Use SQL to query S3, save output to S3
Can use for preprocessing, feature engineering
Less performant than data warehouse, but more convenient

Question 2

Amazon Elastic Map Reduce

EMR

Answer 2

Analytics

Distributed data processing
Massive parallel compute tasks
Single master node manages core nodes (scalable) which manage task nodes (scalable)
Apache Spark - fast analytics engine, can run on EMR or SageMaker

Question 3

Amazon Kinesis
(basic functionality and four instances)

Answer 3

Analytics

Ingesting large scale data, highly scalable

Amazon Kinesis Data Analytics
Amazon Kinesis Data Firehose
Amazon Kinesis Data Streams
Amazon Kinesis Video Stream

Question 4

Amazon QuickSight

Answer 4

Analytics
BI tool
reporting, visualize data

Question 5

AWS Batch

Answer 5

Compute

Dynamically provision other AWS services for your batch job
EC2, fargate, spot instances, etc)

Question 6

Amazon Elastic Cloud Compute

EC2

Answer 6

Compute

Scalable compute instances

Amazon machine image (AMI) - conda based containers w/ libraries and drivers

Instance types for ML: Compute optimized or accelerated computing (GPU)
GPUs: ml.p2
CPU recommended: ml.m4 or ml.c4

Question 7

Amazon Elastic Container Registry

ECR

Answer 7

Containers

Managed container image registry

Question 8

Amazon Elastic Container Service

ECS

Answer 8

Containers

Build and store container images

Question 9

Amazon Elastic Kubernetes Service

EKS

Answer 9

Containers

Deploying and managing containers at scale

Question 10

AWS Glue

Answer 10

Database

Data integration, ETL, S3 crawler to determine schema (called catalog)

Easy to setup/run with minimal effort
Python and Scala
Job Systems - managed infrastructure for ETL workflows
Crawlers and Classifiers - scan data, classify, extract schema info, store metadata
Data Catalog - store, annotate, and share metadata
ETL operations - auto generate ETL scripts based on metadata

Question 11

Amazon Redshift

Answer 11

Database

Data warehouse

Question 12

AWS IoT Greengrass

Answer 12

Internet of Things

Build, deploy, and manage
Control IoT fleet

Question 13

AWS CloudTrail

Answer 13

Management and Governance

Tracks actions taken in AWS console

Question 14

Amazon CloudWatch

Answer 14

Management and Governance

Track usage metrics

Question 15

Amazon Virtual Private Cloud

VPC

Answer 15

Networking and Content Delivery

Manage virtual network

Question 16

AWS Identity and Access Management

IAM

Answer 16

Security, Identity, and Compliance

control access to AWS resources

Question 17

AWS Fargate

Answer 17

Serverless

Run containers without having to manually manage underlying resources

Question 18

AWS Lambda

Answer 18

Serverless

run serverless code on high-availability compute infrastructure

Question 19

Amazon Elastic File System

EFS

Answer 19

grows/shrinks as you add/delete files

mount on EC2 instances, lambda, or containers

Question 20

Amazon Elastic Block Store

EBS

Answer 20

Storage

scalable, high-performance block storage
breaks data into blocks to store as separate pieces
best for static files that aren’t changing

Question 21

Amazon FSx

Answer 21

Storage

high performance and throughput
fully managed Windows File Server

Question 22

Amazon S3

Simple Storage Service

Answer 22

Storage

Store any data, structured, unstructured, anything.
data lake
Security: IAM users, bucket policies; encryption - server side, key management service

Question 23

Amazon Mechanical Turk

Answer 23

workforce for labeling jobs

Question 24

AWS Database Migration Service

Answer 24

can use to migrate from on prem

Question 25

Elastic Inference Accelerator

Answer 25

attach to EC2 / SageMaker / Deep Learning Containers

accelerates deep learning inference workloads