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aws cloud practitioner > services > Flashcards

services Flashcards

1
Q

Amazon VPC

A

Amazon Virtual Private Cloud (Amazon VPC). Amazon VPC enables you to provision an isolated section of the AWS Cloud. In this isolated section, you can launch resources in a virtual network that you define. Within a virtual private cloud (VPC), you can organize your resources into subnets. A subnet is a section of a VPC that can contain resources such as Amazon EC2 instances.

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2
Q

Amazon DocumentDB

A

a document database service that supports MongoDB workloads.

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3
Q

MongoDB

A

a document database program

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4
Q

Amazon Neptune

A

a graph database service. Used to build and run applications that work with highly connected datasets, such as social networking, recommendation engines, fraud detection, and knowledge graphs.

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5
Q

Amazon QLDB

A

a ledger database service. Used to review a complete history of all the changes that have been made to your application data.

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6
Q

Amazon QLDB

A

Amazon Quantum Ledger Database

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7
Q

Amazon Managed Blockchain

A

a service that you can use to create and manage blockchain networks with open-source frameworks. a distributed ledger system that lets multiple parties run transactions and share data without a central authority.

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8
Q

Amazon ElastiCache

A

a service that adds caching layers on top of your databases to help improve the read times of common requests. supports two types of data stores: Redis and Memcached.

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9
Q

supports two types of data stores: Redis and Memcached

A

Amazon ElastiCache

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10
Q

the two types of data stores supported by Amazon ElastiCache

A

Redis and Memcached

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11
Q

Amazon DynamoDB Accelerator (DAX)

A

an in-memory cache for DynamoDB. It helps improve response times from single-digit milliseconds to microseconds.

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12
Q

Amazon DAX

A

Amazon DynamoDB Accelerator

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13
Q

Amazon EBS

A

Amazon Elastic Block Store

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14
Q

Amazon S3

A

Amazon Simple Storage Service

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15
Q

Amazon EFS

A

Amazon Elastic File System

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16
Q

AWS DMS

A

AWS Database Migration Services

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17
Q

Amazon EC2

A

Amazon Elastic Compute Cloud (Amazon EC2)

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18
Q

provides secure, resizable compute capacity in the cloud

A

Amazon EC2

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19
Q

provide a balance of compute, memory, and networking resources. You can use them for a variety of workloads, such as: application servers gaming servers backend servers for enterprise applications small and medium databases

A

EC2 General purpose instances

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20
Q

ideal for compute-bound applications that benefit from high-performance processors. You can use compute optimized instances for workloads such as web, application, and gaming servers. are ideal for high-performance web servers, compute-intensive applications servers, and dedicated gaming servers. You can also use for batch processing workloads that require processing many transactions in a single group.

A

EC2 Compute optimized instances

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21
Q

are designed to deliver fast performance for workloads that process large datasets in memory. a high-performance database or a workload that involves performing real-time processing of a large amount of unstructured data.

A

EC2 Memory optimized instances

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22
Q

use hardware accelerators, or coprocessors, to perform some functions more efficiently than is possible in software running on CPUs. Examples of these functions include floating-point number calculations, graphics processing, and data pattern matching. are ideal for workloads such as graphics applications, game streaming, and application streaming.

A

EC2 Accelerated computing instances

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23
Q

are designed for workloads that require high, sequential read and write access to large datasets on local storage. Examples include distributed file systems, data warehousing applications, and high-frequency online transaction processing (OLTP) systems. are designed to deliver tens of thousands of low-latency, random IOPS to applications.

A

EC2 Storage optimized instances

24
Q

scaling option that responds to changing demand.

A

dynamic scaling

25
Q

scaling option that automatically schedules the right number of Amazon EC2 instances based on anticipated demand.

A

Predictive scaling

26
Q

3 configuration options for an EC2 auto scaling group

A

minimum capacity desired capacity maximum capacity

27
Q

ELB

A

Elastic Load Balancing

28
Q

service that automatically distributes incoming application traffic across multiple resources, such as Amazon EC2 instances. acts as a single point of contact for all incoming web traffic to your Auto Scaling group.

A

Elastic Load Balancing

29
Q

ELB geographical area

A

regional

30
Q

SNS

A

Simple Notification Service

31
Q

SQS

A

Simple Queue Service

32
Q

a publish/subscribe service. Using topics, a publisher publishes messages to subscribers. This is similar to the coffee shop; the cashier provides coffee orders to the barista who makes the drinks. subscribers can be web servers, email addresses, AWS Lambda functions, or several other options.

A

SNS

33
Q

send, store, and receive messages between software components, without losing messages or requiring other services to be available. an application sends messages into a queue. A user or service retrieves a message from the queue, processes it, and then deletes it from the queue.

A

SQS

34
Q

a service that lets you run code without needing to provision or manage servers

A

Lambda

35
Q

upload code to a function, configure trigger, when triggered, code is run in managed, serverless environment

A

Lambda

36
Q

limit of processing time for lambda

A

15 min

37
Q

amazon container services

A

Amazon Elastic Container Service (Amazon ECS) Amazon Elastic Kubernetes Service (Amazon EKS)

38
Q

a highly scalable, high-performance container management system that enables you to run and scale containerized applications on AWS.

A

Amazon Elastic Container Service (Amazon ECS)

39
Q

ECS

A

Amazon Elastic Container Service

40
Q

supports docker containers

A

ECS

41
Q

EKS

A

Amazon Elastic Kubernetes Service (Amazon EKS)

42
Q

a fully managed service that you can use to run Kubernetes on AWS

A

EKS

43
Q

a serverless compute engine for containers. It works with both Amazon ECS and Amazon EKS.

A

AWS Fargate

44
Q

4 key factors to choosing a region

A

Compliance proximity feature availability pricing.

45
Q

how many regions does a data center cover?

A

1

46
Q

how many data centers does a region cover?

A

multiple, redundant

47
Q

Caching copies of data closer to the customers all around the world

A

content delivery networks (CDNs)

48
Q

Amazon’s concept of content delivery networks (CDNs)

A

Amazon CloudFront

49
Q

service that helps deliver data, video, applications, and APIs to customers around the world with low latency and high transfer speeds

A

Amazon CloudFront

50
Q

Amazon CloudFront uses _____________ to help accelerate communication with users, no matter where they are

A

Edge locations

51
Q

what is the relationship between edge locations and regions?

A

Edge locations are separate from Regions

52
Q

AWS Edge DNS

A

Amazon Route 53

53
Q

AWS fully operational mini Region, right inside your own data center

A

AWS Outposts

54
Q

invoke or call these mechanisms to provision, configure, and manage your AWS resources.

A

application programming interfaces APIs

55
Q
A

aws cloud practitioner (4 decks)

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