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AWS Final Exam > Amazon Web Services Cloud Platform > Flashcards

Amazon Web Services Cloud Platform Flashcards

1
Q

AWS Management Console

A

Access and manage Amazon Web Services, simple and intuitive user interface

AWS Console Mobile Application - quickly view resources on the go

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2
Q

AWS Command Line Interface

A

unified tool to manage your AWS services

tool to download and configure - control multiple AWS services from command line and automate them through scripts

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3
Q

software development kits (SDKs)

A

simplify using AWS services in your applications with Application Program Interface (API) tailored to your programming language/platform.

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4
Q

Amazon Athena

A

interactive query service - makes it easy to analyse data in Amazon S3 using standard SQL

serverless and pay only for queries you run

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5
Q

how to use Amazon Athena

A
  1. point to your data in Amazon S3
  2. define schema.
  3. start querying using standard SQL.

results delivered in seconds

no need for extract, transform, load (ETL) jobs to prepare data for analysis

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6
Q

AWS Glue Data Catalog

A

out-of-the-box integration with Athena

create unified metadata repository across various services

crawl data sources to discover schemas and populate Catalog with new and modified table and partition definitions

maintain schema versioning

Glue’s fully-managed ETL capabilities to transform data or convert it to columnar formats to optimise cost and improve performance

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7
Q

Amazon EMR

A

provides managed Hadoop framework that makes it easy, fast and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances

securely and reliably handles broad set of big data use cases including:

log analysis
web indexing
data transformations (ETL)
machine learning
financial analysis
scientific simulation
bioinformatics
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8
Q

Amazon EMR and other platforms

A 
run other popular distributed frameworks:
Apache Spark
HBase
Presto
Flink

interact with data in AWS data stores e.g. Amazon S3 and Amazon DynamoDB

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9
Q

EMR Notebooks

A

based on Jupyter Notebook

provide development and collaboration environment for ad hoc querying and exploratory analysis

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10
Q

Amazon CloudSearch

A

managed service in AWS Cloud that makes it simple and cost-effective to set up, manage, and scale search solution for website/application

supports 34 languages

features:
highlighting
autocomplete
geospatial search

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11
Q

Amazon Elasticsearch Service

A

makes it easy to deploy, secure, operate and scale Elasticsearch to search, analyse and visualise data in real-time

get easy-to-use APIs and real-time analytics capabilities to power use-cases such as:
log analytics
full-text search
application monitoring
clickstream analytics

(with enterprise-grade availability, scalability, security)

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12
Q

Amazon Elasticsearch integrations

A

open-source tools:
Kibana
Logstash

(for data ingestion and visualisation)

AWS services:
Amazon Virtual Private Cloud (Amazon VPC)
AWS Key Management Service (AWS KMS)
Amazon Kinesis Data Firehose
AWS Lambda
AWS Identity and Access Management (IAM)
Amazon Cognito
Amazon CloudWatch

(from raw data to actionable insights)

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13
Q

Amazon Kinesis

A

collect, process, analyse real-time, streaming data - can get timely insights and react to new info

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14
Q

Amazon Kinesis 4 services

A

Kinesis Data Firehose
Kinesis Data Analytics
Kinesis Data Streams
Kinesis Video Streams

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15
Q

Amazon Kinesis Data Streams (KDS)

A

massively scalable and durable real-time data streaming service. KDS can continuously capture gigabytes of data per second from hundreds of thousands of sources:

clickstreams
database event streams
financial transactions
social media feeds
IT logs
location-tracking events

data collected is available in milliseconds to enable real-time analytics use cases:
real-time dashboards
real-time anomaly detection
dynamic pricing

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16
Q

Amazon Kinesis Data Firehose

A

easiest way to reliably load streaming data into data stores and analytics tools.

17
Q

Amazon Kinesis Data Analytics

A

easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time.

18
Q

Amazon Kinesis Data Streams

A

massively scalable and durable real-time data streaming service.

19
Q

Amazon Kinesis Video Streams

A

makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing.

20
Q

Amazon Redshift

A

fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.

21
Q

Amazon QuickSight

A

fast, cloud-powered business intelligence (BI) service that makes it easy for you to deliver insights to everyone in your organisation

22
Q

AWS Data Pipeline

A

web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources at specified intervals

23
Q

AWS Glue

A

fully managed extract, transform, and load (ETL) service that makes it easy for customer to prepare and load their data for analytics.

24
Q

Data lake

A

centralised, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions

25
Q

AWS Lake Formation

A

service that makes it easy to set up a secure data lake in days.

26
Q

Apache Kafka

A

open-source platform for building real-time streaming data pipelines and applications

27
Q

Amazon Managed Streaming for Apache Kafka (Amazon MSK)

A

fully managed service that makes it easy for you to build and run applications using Apache Kafka to process streaming data

can use Apache Kafka APIs to populate data lakes, stream changes to and from databases, power machine learning and analytics applications

AWS Final Exam (50 decks)

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