AWS offers a multitude of services that enhance data protection by improving resiliency and availability. Three key solutions include Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon Relational Database Service (RDS).

  • Amazon S3: Amazon S3 is highly durable, with built-in replication to three separate physical locations. It supports versioning, which serves as a protection against accidental overwrites and deletions.
  • Amazon EBS: EBS ensures high availability and durability by automatically replicating data within its availability zone to prevent data loss due to failure.
  • Amazon RDS: RDS makes it easy to replicate database instances for improved read performance and durability.

Table of Contents

Operational Modes & Replication

Resiliency and availability can be optimized through different operational modes and replication strategies.

Operational Modes

AWS allows users to choose between two modes: Provisioned IOPS and General Purpose.

Mode Description
Provisioned IOPS Designed for I/O-intensive database workloads. It offers predictable, fast performance.
General Purpose Balances cost and performance for a wide variety of transactional workloads.

Resiliency and Availability through Replication

Replication increases resiliency by creating redundant data, which can serve both read and write requests. AWS offers several replication options:

  1. Read Replicas: In Amazon RDS, you can create one or more replicas of a specific database instance, which serves read traffic. This strategy improves the read performance of database instances.
  2. Multi-AZ Deployment: In Amazon RDS, multi-AZ deployment gives you an easy way to implement redundancy and failover. When you create a database instance, you can specify that it should be a multi-AZ deployment, and Amazon will automatically handle data replication.
  3. Cross-region Replication: For Amazon S3, you can use cross-region replication to automatically, asynchronously copy objects across buckets in different AWS Regions.

Accessibility Considerations

AWS provides features that control how your data is stored and accessed. Amazon S3 supports access control lists (ACLs), bucket policies, and presigned URLs to share objects. On the other hand, Amazon EBS and RDS instances are accessible only within the Amazon VPC where they are created, adding an extra layer of protection.


Understanding how to safeguard data with appropriate resilience and availability is a critical part of preparing for the AWS Certified Data Engineer – Associate (DEA-C01) exam. With reliable tools and services from AWS, you can create and manage robust, secure systems that ensure the safety and accessibility of your data.

Practice Test

True or False: Data resiliency refers to the ability of the data to remain consistent and available after a network or power failure.

  • True
  • False

Answer: True

Explanation: Data resiliency is the ability of a system or network to maintain or quickly regain functionality following a negative event, such as a failure or attack.

Which AWS service addresses both data availability and resilience simultaneously?

  • A. Amazon S3
  • B. Amazon RDS
  • C. AWS Lambda
  • D. Amazon EC2

Answer: A. Amazon S3

Explanation: Amazon S3 is designed to provide 999999999% durability and 99% availability of objects over a given year. It has in-built error detection and recovery, and also replicates data over multiple systems and facilities.

What is the recommended best practice to increase the resilience and availability of data when using Amazon RDS?

  • A. Frequent snapshots
  • B. Adding read replicas
  • C. Encryption at rest
  • D. Using Multi-AZ deployment

Answer: D. Using Multi-AZ deployment

Explanation: Deploying Amazon RDS in multiple availability zones (Multi-AZ) is the best practice to increase data resilience and availability, as it provides automatic failover support for DB instances.

True or False: AWS Glacier is primarily used for data resiliency.

  • True
  • False

Answer: False

Explanation: AWS Glacier is a long-term, cold storage service that is primarily used for archiving data, not for data resiliency.

What is the primary key for data protection?

  • A. Disaster recovery
  • B. Encryption
  • C. Backup
  • D. All of the above

Answer: D. All of the above

Explanation: All of these options including disaster recovery, encryption, and backup are essential for proper data protection and ensuring data resiliency and availability.

In AWS, which service ensures high availability of data across several regions?

  • A. AWS Redshift
  • B. AWS CloudFront
  • C. AWS Lambda
  • D. AWS S3 Cross-Region Replication

Answer: D. AWS S3 Cross-Region Replication

Explanation: AWS S3 Cross-Region Replication automatically replicates data across multiple regions, thus ensuring high availability of data.

Encryption at the application level is a standard requirement for data resiliency and availability.

  • A. True
  • B. False

Answer: A. True

Explanation: Encryption at the application level secures data against unauthorized access thus adding to its resiliency.

Backup and restoration of data only involves databases.

  • A. True
  • B. False

Answer: B. False

Explanation: Backup and restoration of data applies to all forms of data including databases, file systems, and applications.

AWS provides ____________ for ensuring data availability and resiliency.

  • A. Auto-scaling
  • B. Load Balancing
  • C. Multi-AZ Deployment
  • D. All of the above

Answer: D. All of the above

Explanation: AWS provides a bunch of services and features like Auto-scaling, Load Balancing, Multi-AZ Deployment, etc., to ensure high data availability and resiliency.

Is it recommended to use only one region for all your data to ensure data resiliency?

  • A. Yes
  • B. No

Answer: B. No

Explanation: To ensure data resiliency in case of region-wide failures, it is recommended to use multiple regions for storing your data.

Interview Questions

What does data resiliency refer to in AWS?

In AWS, data resiliency refers to the ability of systems, applications, and data to recover quickly from any disruptions or to withstand such disruption and continue to function.

How does AWS ensure data availability?

AWS ensures data availability by keeping multiple copies of data across multiple data centers and availability zones, using services like S3, RDS, and EBS.

Name some AWS services that support high data availability and describe their functions.

AWS S3 keeps multiple copies of objects across different availability zones, while AWS RDS supports automated backups and database replication to ensure high data availability. AWS EBS also provides high availability by allowing the creation of snapshots.

How can AWS users increase data resiliency?

AWS users can increase data resiliency by implementing a multi-AZ deployment, creating backups and snapshots, and enabling versioning in S3.

What is the role of AWS Glacier in data resiliency and availability?

AWS Glacier provides durable storage for long-term backup and archive that can help users meet their compliance and regulatory requirements, thereby contributing to data resiliency and availability.

How does AWS Key Management Service contribute to data safety?

AWS Key Management Service (KMS) provides centralized control over cryptographic keys, helping to protect data stored in AWS services and within applications.

What is a Multi-AZ deployment in AWS RDS and how does it contribute to data resiliency and availability?

A Multi-AZ deployment in AWS RDS is when you have primary DB instance and a standby replica in a different availability zone. The data replication is handled automatically by Amazon RDS. This enhances data durability and availability.

What is a snapshot in AWS and how does it contribute to data resiliency and availability?

A snapshot is a point-in-time copy of your data. In AWS, you can take snapshots of EBS volumes and RDS instances. These snapshots can be used for backups, to enhance data resiliency and availability, and meet compliance requirements.

Which AWS service can be used for disaster recovery to bring high availability and resiliency to data?

AWS services like S3, EBS snapshots and Amazon RDS automatic backups can be used for disaster recovery. For compute resources, AWS services like EC2 Auto Recovery, Auto Scaling and Elastic Load Balancing can help in the recovery process.

How does AWS S3 versioning contribute to data resiliency and availability?

AWS S3 versioning allows preserving, retrieving, and restoring every version of every object in your Amazon S3 bucket, thereby contributing to data resiliency and availability by protecting against both unintended deletions and modifications.

How does AWS Shield contribute to data resiliency and availability?

AWS Shield is a managed Distributed Denial of Service (DDoS) protection service that safeguards web applications running on AWS, thus contributing to data resiliency and availability.

What AWS service can be used to automate data backups to enhance resiliency and availability?

AWS Backup is a service that makes it easier to centralize and automate the backup of data across AWS services in the cloud and on-premises.

How does the AWS Storage Gateway service contribute to data resiliency and availability?

AWS Storage Gateway is a hybrid cloud storage service that gives you on-premises access to virtually unlimited cloud storage. It provides a standard set of storage protocols, enhancing data resiliency and availability by connecting your on-premises applications to AWS storage.

How does AWS ensure the availability and resiliency of data during a natural disaster event?

AWS ensures the resiliency and availability of data during a natural disaster event by leveraging its global network of regions and availability zones, allowing users to replicate or backup their data in different geographical locations.

What is the role of AWS Trusted Advisor in maintaining data resiliency and availability?

AWS Trusted Advisor is an online resource that helps you to follow best practices by providing guidelines in five categories: cost optimization, performance, security, fault tolerance, and service limits. It can provide recommendations related to enhancing data resiliency and availability.

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