Amazon Services Flashcards

1
Q

Describe AWS Glue

A

Serverless, fully-managed ETL and data integration service that makes it easier to discover, prepare, and combine data for analytics, MI, and app development. Provides both visual and code-based interfaces to make data integration easier.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Describe Elasticache

A

.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Describe RDS

A

Relational Database Service

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Amazon SNS

A

a fully managed messaging service for both application-to-application (A2A) and application-to-person (A2P) communication.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Amazon SQS

A

A fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message-oriented middleware

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Amazon Athena

A

An interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Amazon Cognito

A

Amazon Cognito scales to millions of users and supports sign-in with social identity providers, such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via SAML 2.0 and OpenID Connect.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Amazon Cloudfront

A

Web service that speeds up distribution of static and dynamic web content, such as .html, .css, .js, and image files, to users. CloudFront delivers content through a worldwide network of data centers called edge locations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

AWS Lambda

A

Serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. Trigger Lambda from over 200 AWS services and software as a service (SaaS) applications, and pay for use.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Amazon DynamoDB

A

Fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data export tools.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Amazon Eventbridge

A

Serverless event bus that makes it easier to build event-driven applications at scale using events generated from apps, integrated SaaS apps, & AWS services. Delivers a stream of real-time data from sources like Zendesk or Shopify to targets like AWS Lambda & other SaaS apps.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Amazon Fargate

A

AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatiblewith both Amazon Elastic Container Service(ECS) andAmazon Elastic Kubernetes Service(EKS).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Amazon API Gateway

A

Fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the “front door” for applications to access data, business logic, or functionality from backend services

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Amazon Route 53

A

Highly available & scalable cloud DNS service. It is a cost effective way to route end users to Internet applications by translating names like www.example.com into the numeric IP addresses like 192.0.2. Amazon Route 53 is fully compliant with IPv6 as well.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Amazon Kinesis

A

Makes it easy to collect, process, & analyze real-time, streaming data to give timely insights & react quickly to new information. Offers key capabilities to cost-effectively process streaming data at any scale, along w/ flexibility to choose tools that best suit app requirements.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Data Lake vs Data Warehouse

A

Unstructured data whose use is yet unclear vs structured data for specific use and analysis.
Raw vs curated data
Exploratory & machine learning vs BI, batch reporting, video

17
Q

Amazon EMR

A

Big data platform for running large-scale distributed data processing jobs, interactive SQL queries, & ML applications using open-source analytics frameworks such asApache Spark,Apache Hive, andPresto.

18
Q

Amazon Sagemaker

A

Helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning.