AWS Ceritification

Amazon Quantum Ledger Database (Amazon QLDB)

Amazon Quantum Ledger Database (Amazon QLDB) is a ledger database service. You can use Amazon QLDB to review a complete history of all the changes that have been made to your application data.

DynamoDB- Serverless

DynamoDB is serverless, which means that you do not have to provision, patch, or manage servers. You also do not have to install, maintain, or operate software.

3 Use Cases for AWS DMS

1. Development and Test database Migrations: Enabling developers to test applications against production data without affecting production users 2. Database Consolidation: Combining several databases into a single database 3. Continuous Replication: Sending ongoing copies of your data to other target sources instead of doing a one-time migration

2 Factors to Consider when Selecting an Amazon S3 Storage Class

1. How often you plan to retrieve your data 2. How available you need your data to be

Which Amazon S3 Storage Classes are optimized for archival data? (2)

1. S3 Galcier: Objects stored in the S3 Glacier storage class can be retrieved within a few minutes to a few hours. 2. S3 Galcier Deep Archive: Objects stored in the S3 Glacier Deep Archive storage class can be retrieved within 12 hours.

What are the 2 Scenarios in which you should use Amazon Relational Database Service (Amazon RDS)?

1. Using SQL to Organize Data 2. Storing Data in an Amazon Aurora Database

Amazon DynamoDB Accelerator (DAX)

Amazon DynamoDB Accelerator (DAX) is an in-memory cache for DynamoDB. It helps improve response times from single-digit milliseconds to microseconds.

Which statement best describes Amazon DynamoDB? A service that enables you to run relational databases in the AWS Cloud A serverless key-value database service A service that you can use to migrate relational databases, nonrelational databases, and other types of data stores An enterprise-class relational database

A serverless key-value database service Amazon DynamoDB is a key-value database service. It is serverless, which means that you do not have to provision, patch, or manage servers.

Amazon Elastic Block Store (Amazon EBS)

A service that provides block-level storage volumes that you can use with Amazon EC2 instances - if you stop or terminate an Amazon EC2 instance - all the data on the attached EBS volume remains available -

Amazon Simple Storage Service (Amazon S3)

A service that provides object-level storage - stores data as objects in buckets - can upload any file type (images, videos, etc.) - can use to store backup files, media files for a website, or archived documents - offers unlimited storage space - maximum file size for an object is 5 TB - when uploading a file you can set permissions to control visibility and access to it - can use versioning feature to track changes overtime - only pay for what you use

AWS Database Migration Service (AWS DMS)

AWS Database Migration Service (AWS DMS) enables you to migrate relational databases, nonrelational databases, and other types of data stores. With AWS DMS, you move data between a source database and a target database. The source and target databases can be of the same type or different types. During the migration, your source database remains operational, reducing downtime for any applications that rely on the database. For example, suppose that you have a MySQL database that is stored on premises in an Amazon EC2 instance or in Amazon RDS. Consider the MySQL database to be your source database. Using AWS DMS, you could migrate your data to a target database, such as an Amazon Aurora database.

Full Backups

All data in a storage volume copies each time a backup occurs - full backup includes data that has not changes since the most recent backup

Amazon Aurora

Amazon Aurora is an enterprise-class relational database. It is compatible with MySQL and PostgreSQL relational databases. It is up to five times faster than standard MySQL databases and up to three times faster than standard PostgreSQL databases. Amazon Aurora helps to reduce your database costs by reducing unnecessary input/output (I/O) operations, while ensuring that your database resources remain reliable and available. Consider Amazon Aurora if your workloads require high availability. It replicates six copies of your data across three Availability Zones and continuously backs up your data to Amazon S3.

Amazon DocumentDB

Amazon DocumentDB is a document database service that supports MongoDB workloads. (MongoDB is a document database program.)

Amazon DynamoDB

Amazon DynamoDB is a key-value database service. It delivers single-digit millisecond performance at any scale. 2 Features: Serverless and Automatic Scaling

Best for Data that requires Retention

Amazon EBS Volumes

When Stopping or Terminating an EC2 Instance, Data Remains Available

Amazon EBS Volumes

Amazon EFS

Amazon EFS is a regional service. It stores data in and across multiple Availability Zones. The duplicate storage enables you to access data concurrently from all the Availability Zones in the Region where a file system is located. Additionally, on-premises servers can access Amazon EFS using AWS Direct Connect.

Amazon ElastiCache

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

You want to store data in an object storage service. Which AWS service is best for this type of storage?

Amazon Elastic Block Store (Amazon EBS)

Amazon Managed Blockchain

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

Amazon Neputune

Amazon Neptune is a graph database service. You can use Amazon Neptune to build and run applications that work with highly connected datasets, such as recommendation engines, fraud detection, and knowledge graphs.

Amazon RDS 6 Database Engines

Amazon RDS is available on six database engines, which optimize for memory, performance, or input/output (I/O). Amazon Aurora PostgreSQL MySQL MariaDB Oracle Database Microsoft SQL Server

Which service is used to query and analyze data across a data warehouse?

Amazon Redshift Amazon Redshift is a data warehousing service that you can use for big data analytics. Use Amazon Redshift to collect data from many sources and help you understand relationships and trends across your data.

Amazon Redshift

Amazon Redshift is a data warehousing service that you can use for big data analytics. It offers the ability to collect data from many sources and helps you to understand relationships and trends across your data.

Amazon Relational Database Service (Amazon RDS)

Amazon Relational Database Service (Amazon RDS) is a service that enables you to run relational databases in the AWS Cloud. Amazon RDS is a managed service that automates tasks such as hardware provisioning, database setup, patching, and backups. With these capabilities, you can spend less time completing administrative tasks and more time using data to innovate your applications. You can integrate Amazon RDS with other services to fulfill your business and operational needs, such as using AWS Lambda to query your database from a serverless application. Amazon RDS provides a number of different security options. Many Amazon RDS database engines offer encryption at rest (protecting data while it is stored) and encryption in transit (protecting data while it is being sent and received).

EBS Snapshot

An incremental backup - the first backup taken of a volume copies all the data - for subsequent backups, only the blocks of data that have changed since the most recent snapshot are saved

DynamoDB- Automatic Scaling

As the size of your database shrinks or grows, DynamoDB automatically scales to adjust for changes in capacity while maintaining consistent performance. This makes it a suitable choice for use cases that require high performance while scaling.

Metadata

Contains info about what the data is, how it is used, the object size, etc.

S3 Standard

Designed for frequently accessed data Stores data in a minimum of three Availability Zones S3 Standard provides high availability for objects. This makes it a good choice for a wide range of use cases, such as websites, content distribution, and data analytics. S3 Standard has a higher cost than other storage classes intended for infrequently accessed data and archival storage.

Key-Value Pairs

Data is organized into items (keys) and items have attributes (values) - think of attributes as different features of your data - in a key value database you can add or remove attributes from items in the table at any time (note: not every item in the table has to have the same attributes)

Which Statement or Statements are True about Amazon EBS Volumes and Amazon EFS File Systems? EBS volumes store data within a single Availability Zone. Amazon EFS file systems store data across multiple Availability Zones. EBS volumes store data across multiple Availability Zones. Amazon EFS file systems store data within a single Availability Zone. EBS volumes and Amazon EFS file systems both store data within a single Availability Zone. EBS volumes and Amazon EFS file systems both store data across multiple Availability Zones.

EBS volumes store data within a single Availability Zone. Amazon EFS file systems store data across multiple Availability Zones.

Object Storage

Each object consists of data, metadata, and key - data might be an image, video, text document, or other type of file - object's key is its unique identifier

S3 Intelligent-Tiering

Ideal for data with unknown or changing access patterns Requires a small monthly monitoring and automation fee per object In the S3 Intelligent-Tiering storage class, Amazon S3 monitors objects' access patterns. If you haven't accessed an object for 30 consecutive days, Amazon S3 automatically moves it to the infrequent access tier, S3 Standard-IA. If you access an object in the infrequent access tier, Amazon S3 automatically moves it to the frequent access tier, S3 Standard.

S3 Standard - Infrequent Access (S3 Standard - AI)

Ideal for infrequently accessed data Similar to S3 Standard but has a lower storage price and higher retrieval price S3 Standard-IA is ideal for data infrequently accessed but requires high availability when needed. Both S3 Standard and S3 Standard-IA store data in a minimum of three Availability Zones. S3 Standard-IA provides the same level of availability as S3 Standard but with a lower storage price and a higher retrieval price.

Nonrelational Database

In a nonrelational database, you create tables - sometimes referred to as "NoSQL databases" because they use structures other than rows and columns to organize data - one type of structure is Key-Value Pairs

Relational Database

In a relational database, data is stored in a way that relates it to other pieces of data. An example of a relational database might be the coffee shop's inventory management system. Each record in the database would include data for a single item, such as product name, size, price, and so on. Relational databases use structured query language (SQL) to store and query data. This approach allows data to be stored in an easily understandable, consistent, and scalable way. For example, the coffee shop owners can write a SQL query to identify all the customers whose most frequently purchased drink is a medium latte.

Best for Temporary Data that is Not Kept Long Term

Instance Stores

When Stopping or Terminating an EC2 Instance, Data is Deleted

Instance Stores

S3 Glacier Deep Archive

Lowest-cost object storage class ideal for archiving Able to retrieve objects within 12 hours When deciding between Amazon S3 Glacier and Amazon S3 Glacier Deep Archive, consider how quickly you need to retrieve archived objects. You can retrieve objects stored in the S3 Glacier storage class within a few minutes to a few hours. By comparison, you can retrieve objects stored in the S3 Glacier Deep Archive storage class within 12 hours.

File Storage

Multiple clients (users, applications, servers, etc.) can access data that is stored in shared file folders-a storage server uses block storage with a local file system to organize files. Clients access data through file paths - ideal for use cases in which a large number of services and resources need to access the same data at the same time

Instance Stores

Provides temporary block-level storage for an Amazon EC2 Instance - instance store is disk storage that is physically attached to the host computer for an EX2 instance and therefore has the same lifespan as the instance - when instance is terminated, you lose any data in the instance store

S3 One Zone-Infrequent Access (S3 One Zone-IA)

Stores data in a single Availability Zone Has a lower storage price than S3 Standard-IA Compared to S3 Standard and S3 Standard-IA, which store data in a minimum of three Availability Zones, S3 One Zone-IA stores data in a single Availability Zone. This makes it a good storage class to consider if the following conditions apply: You want to save costs on storage. You can easily reproduce your data in the event of an Availability Zone failure.

Amazon Elastic File System (Amazon EFS)

a scalable file system used with AWS Cloud services and on-premises resources. As you add and remove files, Amazon EFS grows and shrinks automatically. It can scale on demand to petabytes without disrupting applications.

Creating an EBS Volume

define the configuration (such as volume size and type_ and provision it - then attach it to an Amazon EC2 instance (EBS volumes are for data that need to persist so it's important to back up the data with incremental backups using EBS snapshots)

Amazon EBS

stores data in a SINGLE Availability Zone - to attach an Amazon EC2 Instance to an EBS Volume - they both must resign within the same availability zone