RDS Multi-AZ – High Availability & Failover

RDS Multi-AZ Instance Deployment

RDS Multi-AZ Deployment

  • RDS Multi-AZ deployments provide high availability and automatic failover support for DB instances
  • Multi-AZ helps improve the durability and availability of a critical system, enhancing availability during planned system maintenance, DB instance failure, and Availability Zone disruption.
  • A Multi-AZ DB instance deployment
    • has one standby DB instance that provides failover support but doesn’t serve read traffic.
    • There is only one row for the DB instance.
    • The value of Role is Instance or Primary.
    • The value of Multi-AZ is Yes.
  • A Multi-AZ DB cluster deployment
    • has two standby DB instances that provide failover support and can also serve read traffic.
    • There is a cluster-level row with three DB instance rows under it.
    • For the cluster-level row, the value of Role is Multi-AZ DB cluster.
    • For each instance-level row, the value of Role is Writer instance or Reader instance.
    • For each instance-level row, the value of Multi-AZ is 3 Zones.

RDS Multi-AZ DB Instance Deployment

  • RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different AZ.
  • RDS performs an automatic failover to the standby, so that database operations can be resumed as soon as the failover is complete.
  • RDS Multi-AZ deployment maintains the same endpoint for the DB Instance after a failover, so the application can resume database operation without the need for manual administrative intervention.
  • Multi-AZ is a high-availability feature and NOT a scaling solution for read-only scenarios; a standby replica can’t be used to serve read traffic. To service read-only traffic, use a Multi-AZ DB cluster or a Read Replica.
  • Failover times are typically 60–120 seconds for Multi-AZ DB instance deployments.
  • Multi-AZ deployments for MariaDB, MySQL, Oracle, PostgreSQL, and RDS Custom for SQL Server DB instances use the Amazon failover technology.
  • Microsoft SQL Server DB instances use SQL Server Database Mirroring (DBM), Always On Availability Groups (AGs), or block-level replication depending on the edition and version.
    • Database Mirroring is deprecated by Microsoft and will be removed in a future version of SQL Server. AWS recommends migrating to Always On AGs.
    • New (Nov 2025): RDS for SQL Server Web Edition now supports Multi-AZ using block-level replication, providing enterprise-grade availability without requiring Enterprise or Standard Edition licensing.
    • New (Jan 2026): RDS for SQL Server now supports differential and transaction log restores for Multi-AZ instances and instances with read replicas in the same region.

RDS Multi-AZ Instance Deployment

ENA Express for Multi-AZ Replication (May 2026)

  • Amazon RDS Multi-AZ instances now use ENA Express for replication traffic between Availability Zones.
  • ENA Express uses AWS’s Scalable Reliable Datagram (SRD) protocol to optimize network performance.
  • Delivers up to 25 Gbps single-flow bandwidth for cross-AZ replication traffic (previously up to 5 Gbps).
  • Leverages advanced congestion control and multi-pathing capabilities, reducing latency variability for Multi-AZ deployments.
  • Results in increased write throughput and lower write latencies for write-intensive database workloads.
  • Available at no additional charge for RDS for MariaDB, MySQL, PostgreSQL, Db2, and Oracle.
  • Supported for db.m6i.8xlarge and above instance classes in a Multi-AZ configuration.
  • To enable on existing instances, perform a stop/start or scale compute action.

RDS Multi-AZ DB Cluster Deployment

  • RDS Multi-AZ DB cluster deployment is a high-availability deployment mode of RDS with two readable standby DB instances.
  • RDS Multi-AZ DB cluster has a writer DB instance and two reader DB instances in three separate AZs in the same AWS Region.
  • With a Multi-AZ DB cluster, RDS semi-synchronously replicates data from the writer DB instance to both of the reader DB instances using the DB engine’s native replication capabilities.
  • Multi-AZ DB clusters provide high availability, increased capacity for read workloads, and lower write latency when compared to Multi-AZ DB instance deployments.
  • If an event of an outage, RDS manages failover from the writer DB instance to one of the reader DB instances. RDS does this based on which reader DB instance has the most recent change record.
  • Failover times are typically under 35 seconds for Multi-AZ DB clusters, compared to 60-120 seconds for Multi-AZ DB instance deployments.
  • Multi-AZ DB clusters support up to 2x faster transaction commit latency compared to Multi-AZ DB instance deployments.
  • Multi-AZ DB clusters are currently supported only for the MySQL (8.0, 8.4) and PostgreSQL DB engines.

RDS Mulit-AZ DB Cluster

Multi-AZ DB Cluster – Recent Enhancements (2024-2026)

  • AWS Backup for Multi-AZ Clusters – 17 Additional Regions (Mar 2026): AWS Backup expanded support for RDS Multi-AZ clusters with comprehensive data protection capabilities including automated lifecycle management and immutable backups via AWS Backup Vault Lock.
  • IAM Database Authentication (Oct 2024): Multi-AZ DB clusters with two readable standbys now support AWS IAM database authentication, enabling centralized access management without storing password-based login credentials in the database.
  • Security Certificate Rotation (Mar 2024): Supports database security certificate rotation for an extra layer of security by validating connections made to RDS database instances and clusters.
  • C6gd Instance Support (Mar 2024): Multi-AZ DB clusters now support C6gd database instances for enhanced compute performance.
  • Minor Version Upgrades: Downtime for minor version upgrades is typically under 35 seconds, and can be further reduced to under 1 second by using the AWS Advanced JDBC Wrapper Driver or RDS Proxy.

Multi-AZ DB Instance vs Multi-AZ DB Cluster

RDS Multi-AZ DB Instance vs DB Cluster

Feature Multi-AZ DB Instance Multi-AZ DB Cluster
Standby Instances 1 (not readable) 2 (readable)
Replication Synchronous Semi-synchronous (engine native)
Failover Time 60-120 seconds Typically under 35 seconds
Read Traffic Not supported on standby Supported on reader instances
Write Latency Standard Up to 2x faster transaction commits
Supported Engines MySQL, PostgreSQL, MariaDB, Oracle, SQL Server MySQL, PostgreSQL only
IAM DB Authentication Supported Supported (since Oct 2024)
ENA Express Supported (since May 2026) N/A (uses engine-native replication)

Improving Multi-AZ Failover with RDS Proxy and AWS Drivers

  • RDS Proxy can reduce failover times by up to 66% by eliminating DNS propagation delays.
    • During failover, applications typically wait 35+ seconds for DNS CNAME changes to propagate.
    • RDS Proxy continuously monitors both primary and standby instances, bypassing DNS propagation entirely.
    • Supports Multi-AZ DB instance deployments for MySQL, MariaDB, and PostgreSQL.
    • Also supports Multi-AZ DB cluster deployments with two readable standbys.
  • AWS Advanced JDBC/Python Wrapper Drivers provide topology-aware failover for Multi-AZ DB clusters.
    • The drivers monitor the DB cluster topology and detect writer changes automatically.
    • Can switch connections to a new writer in approximately 1 second or less when there is no replica lag.
    • Reduces switchover and failover times to single-digit seconds, compared to tens of seconds for standard drivers.
    • Supports failover management, monitoring, IAM/Secrets Manager authentication, and load distribution plugins.

RDS Multi-AZ vs Read Replicas

RDS Mulit-AZ vs Multi-Region vs Read Replicas

RDS Extended Support and Multi-AZ

  • Starting March 1, 2024, Amazon RDS automatically charges for RDS Extended Support when running a major version past its end of standard support date.
  • Extended Support provides up to three additional years of critical security and bug fixes beyond a major version’s end of standard support date.
  • Key end-of-standard-support dates:
    • PostgreSQL 11 – February 29, 2024
    • PostgreSQL 12 – February 28, 2025
    • PostgreSQL 13 – February 28, 2026
    • MySQL 5.7 – February 29, 2024
  • Extended Support pricing increases over time (Year 1 → Year 2 → Year 3), making timely upgrades important for Multi-AZ deployments where charges apply to both primary and standby instances.

AWS Certification Exam Practice Questions

  • Questions are collected from Internet and the answers are marked as per my knowledge and understanding (which might differ with yours).
  • AWS services are updated everyday and both the answers and questions might be outdated soon, so research accordingly.
  • AWS exam questions are not updated to keep up the pace with AWS updates, so even if the underlying feature has changed the question might not be updated
  • Open to further feedback, discussion and correction.
  1. A company is deploying a new two-tier web application in AWS. The company has limited staff and requires high availability, and the application requires complex queries and table joins. Which configuration provides the solution for the company’s requirements?
    1. MySQL Installed on two Amazon EC2 Instances in a single Availability Zone (does not provide High Availability out of the box)
    2. Amazon RDS for MySQL with Multi-AZ
    3. Amazon ElastiCache (Just a caching solution)
    4. Amazon DynamoDB (Not suitable for complex queries and joins)
  2. What would happen to an RDS (Relational Database Service) multi-Availability Zone deployment if the primary DB instance fails?
    1. IP of the primary DB Instance is switched to the standby DB Instance.
    2. A new DB instance is created in the standby availability zone.
    3. The canonical name record (CNAME) is changed from primary to standby.
    4. The RDS (Relational Database Service) DB instance reboots.
  3. Will my standby RDS instance be in the same Availability Zone as my primary?
    1. Only for Oracle RDS types
    2. Yes
    3. Only if configured at launch
    4. No
  4. Is creating a Read Replica of another Read Replica supported?
    1. Only in certain regions
    2. Only with MySQL based RDS [Note: As of 2022+, cascading Read Replicas are now also supported for PostgreSQL (version 14.1+). Both MySQL and PostgreSQL support up to three levels of cascading replicas.]
    3. Only for Oracle RDS types
    4. No
  5. A user is planning to set up the Multi-AZ feature of RDS. Which of the below mentioned conditions won’t take advantage of the Multi-AZ feature?
    1. Availability zone outage
    2. A manual failover of the DB instance using Reboot with failover option
    3. Region outage
    4. When the user changes the DB instance’s server type
  6. When you run a DB Instance as a Multi-AZ deployment, the “_____” serves database writes and reads
    1. secondary
    2. backup
    3. stand by
    4. primary [Note: For Multi-AZ DB clusters, reader instances can also serve read traffic.]
  7. When running my DB Instance as a Multi-AZ deployment, can I use the standby for read or write operations?
    1. Yes
    2. Only with MSSQL based RDS
    3. Only for Oracle RDS instances
    4. No [Note: This applies to Multi-AZ DB instance deployments. Multi-AZ DB cluster deployments DO allow reader instances to serve read traffic.]
  8. Read Replicas require a transactional storage engine and are only supported for the _________ storage engine
    1. OracleISAM
    2. MSSQLDB
    3. InnoDB
    4. MyISAM
  9. A user is configuring the Multi-AZ feature of an RDS DB. The user came to know that this RDS DB does not use the AWS technology, but uses server mirroring to achieve replication. Which DB is the user using right now?
    1. MySQL
    2. Oracle
    3. MS SQL [Note: SQL Server now also supports Always On Availability Groups and block-level replication for Multi-AZ, depending on the edition and version. Database Mirroring is deprecated by Microsoft.]
    4. PostgreSQL
  10. If you have chosen Multi-AZ deployment, in the event of a planned or unplanned outage of your primary DB Instance, Amazon RDS automatically switches to the standby replica. The automatic failover mechanism simply changes the ______ record of the main DB Instance to point to the standby DB Instance.
    1. DNAME
    2. CNAME
    3. TXT
    4. MX
  11. When automatic failover occurs, Amazon RDS will emit a DB Instance event to inform you that automatic failover occurred. You can use the _____ to return information about events related to your DB Instance
    1. FetchFailure
    2. DescriveFailure
    3. DescribeEvents
    4. FetchEvents
  12. The new DB Instance that is created when you promote a Read Replica retains the backup window period.
    1. TRUE
    2. FALSE
  13. Will I be alerted when automatic failover occurs?
    1. Only if SNS configured
    2. No
    3. Yes
    4. Only if Cloudwatch configured
  14. Can I initiate a “forced failover” for my MySQL Multi-AZ DB Instance deployment?
    1. Only in certain regions
    2. Only in VPC
    3. Yes
    4. No
  15. A user is accessing RDS from an application. The user has enabled the Multi-AZ feature with the MS SQL RDS DB. During a planned outage how will AWS ensure that a switch from DB to a standby replica will not affect access to the application?
    1. RDS will have an internal IP which will redirect all requests to the new DB
    2. RDS uses DNS to switch over to standby replica for seamless transition
    3. The switch over changes Hardware so RDS does not need to worry about access
    4. RDS will have both the DBs running independently and the user has to manually switch over
  16. Which of the following is part of the failover process for a Multi-AZ Amazon Relational Database Service (RDS) instance?
    1. The failed RDS DB instance reboots.
    2. The IP of the primary DB instance is switched to the standby DB instance.
    3. The DNS record for the RDS endpoint is changed from primary to standby.
    4. A new DB instance is created in the standby availability zone.
  17. Which of these is not a reason a Multi-AZ RDS instance will failover?
    1. An Availability Zone outage
    2. A manual failover of the DB instance was initiated using Reboot with failover
    3. To autoscale to a higher instance class (Refer link)
    4. Master database corruption occurs
    5. The primary DB instance fails
  18. How does Amazon RDS multi Availability Zone model work?
    1. A second, standby database is deployed and maintained in a different availability zone from master, using synchronous replication. (Refer link)
    2. A second, standby database is deployed and maintained in a different availability zone from master using asynchronous replication.
    3. A second, standby database is deployed and maintained in a different region from master using asynchronous replication.
    4. A second, standby database is deployed and maintained in a different region from master using synchronous replication.
  19. A user is using a small MySQL RDS DB. The user is experiencing high latency due to the Multi AZ feature. Which of the below mentioned options may not help the user in this situation?
    1. Schedule the automated back up in non-working hours
    2. Use a large or higher size instance
    3. Use PIOPS
    4. Take a snapshot from standby Replica
  20. What is the charge for the data transfer incurred in replicating data between your primary and standby?
    1. No charge. It is free.
    2. Double the standard data transfer charge
    3. Same as the standard data transfer charge
    4. Half of the standard data transfer charge
  21. A user has enabled the Multi AZ feature with the MS SQL RDS database server. Which of the below mentioned statements will help the user understand the Multi AZ feature better?
    1. In a Multi AZ, AWS runs two DBs in parallel and copies the data asynchronously to the replica copy
    2. In a Multi AZ, AWS runs two DBs in parallel and copies the data synchronously to the replica copy
    3. In a Multi AZ, AWS runs just one DB but copies the data synchronously to the standby replica
    4. AWS MS SQL does not support the Multi AZ feature
  22. A company needs a highly available database solution with the lowest possible failover time. The application uses MySQL. Which RDS deployment option provides the fastest failover? [New Question]
    1. Multi-AZ DB instance deployment (Failover takes 60-120 seconds)
    2. Multi-AZ DB cluster deployment (Failover typically under 35 seconds)
    3. Single-AZ with Read Replicas (No automatic failover)
    4. Cross-Region Read Replica (Manual promotion required)
  23. Which of the following is a benefit of RDS Multi-AZ DB cluster deployment over Multi-AZ DB instance deployment? (Choose TWO) [New Question]
    1. Reader instances can serve read traffic
    2. Supports all RDS database engines
    3. Up to 2x faster transaction commit latency
    4. Uses synchronous replication
    5. Supports Oracle and SQL Server engines
  24. A company runs a write-intensive MySQL workload on RDS Multi-AZ. They notice high replication latency between the primary and standby instances. What recent AWS feature can help reduce this latency? [New Question]
    1. Enable Read Replicas for write offloading
    2. Enable ENA Express for Multi-AZ replication which uses AWS SRD protocol for up to 25 Gbps single-flow bandwidth
    3. Switch to asynchronous replication
    4. Enable Enhanced Monitoring
  25. A company wants to minimize application downtime during RDS Multi-AZ failover events. The current failover takes 60-120 seconds due to DNS propagation. What should they implement? [New Question]
    1. Enable Multi-AZ DB cluster deployment
    2. Use a shorter DNS TTL on the application side
    3. Use Amazon RDS Proxy which eliminates DNS propagation delay by continuously monitoring both primary and standby instances
    4. Implement application-level retry logic with exponential backoff

AWS Route 53 Routing Policies – Weighted, Latency

AWS Route 53 Routing Policy

AWS Route 53 routing policy determines how AWS would respond to the DNS queries and provides multiple routing policy options.

Simple Routing Policy

  • Simple routing policy is a simple round-robin policy and can be applied when there is a single resource doing the function for the domain e.g. web server that serves content for the website.
  • Simple routing helps configure standard DNS records, with no special Route 53 routing such as weighted or latency.
  • Route 53 responds to the DNS queries based on the values in the resource record set e.g. IP address in an A record.
  • Simple routing does not allow the creation of multiple records with the same name and type, but multiple values can be specified in the same record, such as multiple IP addresses.
  • Route 53 displays all the values to resolve it recursively in random order and the resolver displays the values for the client. The client then chooses a value and resends the query.
  • Simple routing policy does not support health checks, so the record would be returned to the client even if it is unhealthy.
  • With Alias record enabled, only one AWS resource or one record can be specified in the current hosted zone.
  • Simple routing can be used to create records in a private hosted zone.

Weighted Routing Policy

  • Weighted routing policy helps route traffic to different resources in specified proportions (weights) e.g., 75% to one server and 25% to the other during a pilot release
  • Weights can be assigned between any number from 0 to 255 inclusive.
  • Weighted routing policy can be applied when there are multiple resources that perform the same function e.g., webservers serving the same site
  • Weighted resource record sets allow associating multiple resources with a single DNS name.
  • Weighted routing policy use cases include
    • load balancing between regions
    • A/B testing and piloting new versions of software
  • To create a group of weighted resource record sets, two or more resource record sets can be created that has the same combination of DNS name and type, and each resource record set is assigned a unique identifier and a relative weight.
  • When processing a DNS query, Route 53 searches for a resource record set or a group of resource record sets that have the specified name and type.
  • Route 53 selects one from the group. The probability of any one resource record set being selected depends on its weight as a proportion of the total weight for all resource record sets in the group for e.g., suppose www.example.com has three resource record sets with weights of 1 (20%), 1 (20%), and 3 (60%)(sum = 5). On average, Route 53 selects each of the first two resource records sets one-fifth of the time and returns the third resource record set three-fifths of the time.
  • Weighted routing policy supports health checks.
  • Weighted routing can be used to create records in a private hosted zone.

Latency-based Routing (LBR) Policy

  • Latency-based Routing Policy helps respond to the DNS query based on which data center gives the user the lowest network latency.
  • Latency-based routing policy can be used when there are multiple resources performing the same function and Route 53 needs to be configured to respond to the DNS queries with the resources that provide the fastest response with the lowest latency.
  • A latency resource record set can be created for the EC2 resource in each region that hosts the application. When Route 53 receives a query for the corresponding domain, it selects the latency resource record set for the EC2 region that gives the user the lowest latency. Route 53 then responds with the value associated with that resource record set for e.g., you might have web servers for example.com in the EC2 data centers in Ireland and in Tokyo. When a user browses example.com from Singapore, Route 53 will pick up the data center (Tokyo) which has the lowest latency from the user’s location
  • Latency between hosts on the Internet can change over time as a result of changes in network connectivity and routing. Latency-based routing is based on latency measurements performed over a period of time, and the measurements reflect these changes for e.g. if the latency from the user in Singapore to Ireland improves, the user can be routed to Ireland
  • Latency-based routing cannot guarantee users from the same geographic will be served from the same location for any compliance reason
  • Latency resource record sets can be created using any record type that Route 53 supports except NS or SOA.
  • Latency-based routing policy supports health checks.
  • Latency-based routing can be used to create records in a private hosted zone.

Failover Routing Policy

  • Failover routing policy allows active-passive failover configuration, in which one resource (primary) takes all traffic when it’s healthy and the other resource (secondary) takes all traffic when the first isn’t healthy.
  • Route 53 health checking agents will monitor each location/endpoint of the application to determine its availability.
  • Failover routing policy is applicable for Public hosted zones only.
  • Failover routing can be used to create records in a private hosted zone.

Geolocation Routing Policy

  • Geolocation routing policy helps respond to DNS queries based on the geographic location of the users i.e. location from which the DNS queries originate.
  • Geolocation routing policy use cases include
    • localization of content and presenting some or all of the website in the user’s language
    • restrict distribution of content to only the locations in which you have distribution rights.
    • balancing load across endpoints in a predictable, easy-to-manage way, so that each user location is consistently routed to the same endpoint.
  • Geolocation routing policy allows geographic locations to be specified by continent, country, or by state (only in the US)
  • Geolocation record sets, if created, for overlapping geographic regions for e.g. continent, and then for the country within the same continent, priority goes to the smallest geographic region, which allows some queries for a continent to be routed to one resource and queries for selected countries on that continent to a different resource
  • Geolocation works by mapping IP addresses to locations, which might not be mapped to an exact geographic location.
  • A default resource record set can be created to handle these queries and also the ones which do not have an explicit record set created.
  • Route 53 returns a “no answer” response for queries from those locations if a default resource record set is not created.
  • Two geolocation resource record sets that specify the same geographic location cannot be created.
  • Route 53 supports the edns-client-subnet extension of EDNS0 (EDNS0 adds several optional extensions to the DNS protocol.) to improve the accuracy of geolocation routing.
  • Geolocation routing can be used to create records in a private hosted zone. For private hosted zones, Route 53 responds to DNS queries based on the AWS Region of the VPC that the query originated from.

Geoproximity Routing Policy

  • Geoproximity routing helps route traffic to the resources based on the geographic location of the users and the resources.
  • Geoproximity routing can be configured with a bias to optionally choose to route more traffic or less to a given resource. A bias expands or shrinks the size of the geographic region from which traffic is routed to a resource.
  • A positive bias (1 to 99) increases the size of the geographic region, routing more traffic to the resource. A negative bias (-1 to -99) shrinks the region.
  • Route 53 supports specifying the resource location using the AWS Region, AWS Local Zone group, or latitude and longitude coordinates.
  • Geoproximity routing is now available as a standard routing policy for DNS records in both public and private hosted zones (expanded in January 2024), in addition to being available through Route 53 Traffic Flow.
  • Route 53 Traffic flow supports geoproximity routing for AWS Local Zones (since October 2023), enabling reduced latency for end users connecting to applications in their nearest Local Zone.
  • Geoproximity routing supports health checks.

IP-based Routing Policy

  • IP-based routing (launched June 2022) allows fine-tuning DNS routing based on the source IP address of the DNS query, using user-IP-to-endpoint mappings.
  • IP-based routing gives granular control to optimize performance or reduce network costs by uploading data to Route 53 in the form of client IP to location mappings.
  • IP-based routing use cases include:
    • Routing end users from certain ISPs to specific endpoints to optimize network transit costs or performance.
    • Adding overrides to existing Route 53 routing types, such as geolocation routing, based on knowledge of clients’ physical locations.
  • IP ranges are managed using CIDR collections and CIDR locations:
    • CIDR block – An IP range in CIDR notation, e.g., 192.0.2.0/24 or 2001:DB8::/32
    • CIDR location – A named list of CIDR blocks, e.g., example-isp-seattle = [192.0.2.0/24, 203.0.113.0/22]
    • CIDR collection – A named collection of locations that can be reused across records
  • For IPv4, CIDR blocks between 1 and 24 bits are supported. For IPv6, CIDR blocks between 1 and 48 bits are supported.
  • For DNS queries with a CIDR longer than the one specified in the collection, Route 53 matches it to the shorter CIDR.
  • A default (“*”) location can be used to handle queries that don’t match any specified CIDR block.
  • IP-based routing cannot be used for records in a private hosted zone.
  • IP-based routing supports health checks.

Multivalue Routing Policy

  • Multivalue routing helps return multiple values, e.g. IP addresses for the web servers, in response to DNS queries.
  • Multivalue routing also helps check the health of each resource, so only the values for healthy resources are returned.
  • Route 53 responds to DNS queries with up to eight healthy records and gives different answers to different DNS resolvers.
  • Multivalue answer routing is not a substitute for a load balancer, but the ability to return multiple health-checkable IP addresses is a way to use DNS to improve availability and load balancing.
  • To route traffic approximately randomly to multiple resources, such as web servers, one multivalue answer record can be created for each resource and, optionally, associate a Route 53 health check with each record. If a web server becomes unavailable after the resolver caches a response, client software can try another IP address in the response.
  • Multivalue answer routing can be used to create records in a private hosted zone.

Route 53 Traffic Flow

  • Route 53 Traffic Flow helps easily manage traffic globally through a variety of routing types combined with DNS Failover in order to enable a variety of low-latency, fault-tolerant architectures.
  • Traffic Flow provides a visual editor to easily manage how the end-users are routed to the application’s endpoints – whether in a single AWS region or distributed around the globe.
  • Traffic Flow introduced a new enhanced visual editor (March 2025) with a clearer sidebar-based configuration, undo/redo functionality, and a built-in JSON text editor for directly editing traffic policy documents in the browser.
  • Traffic Flow routes traffic based on multiple criteria, such as endpoint health, geographic location, and latency.
  • Traffic Flow’s versioning feature maintains a history of changes to the traffic policies to allow easy rollback to the previous version.
  • Traffic Flow supports geoproximity routing for AWS Local Zones.

Route 53 Routing Policies in Private Hosted Zones

  • Route 53 supports the following routing policies in private hosted zones:
    • Simple routing
    • Failover routing
    • Multivalue answer routing
    • Weighted routing
    • Latency-based routing (supported since March 2022)
    • Geolocation routing (supported since March 2022; routes based on the AWS Region of the VPC the query originates from)
    • Geoproximity routing (supported since January 2024)
  • IP-based routing is not supported in private hosted zones.

Route 53 Complex Routing Policies

Route 53 Complex Routing Policies

  • Route 53 can be used to define more complex and nested routing policies
  • A combination of alias records (such as weighted alias and failover alias) and non-alias records can be used to build a decision tree that gives you greater control over how Route 53 responds to requests.
  • Resources would be created from the bottom of the tree

Route 53 Application Recovery Controller (ARC)

  • Route 53 Application Recovery Controller (ARC) helps prepare for and quickly mitigate impairments for applications on AWS.
  • ARC provides routing controls – simple on/off switches hosted on a highly available cluster – that can be used to control routing of client traffic in and out of application cells (regions or availability zones).
  • Routing controls support failover across any AWS service that has a DNS endpoint.
  • ARC supports:
    • Zonal Shift – Temporarily move traffic away from an impaired Availability Zone
    • Zonal Autoshift – Automatically shift traffic away from AZs with detected impairments
    • Routing Control – Manually control traffic routing across regions with extreme reliability
  • Safety rules can be configured to prevent simultaneous disabling of all routing controls, ensuring at least one region remains active.
  • ARC routing control health checks integrate with Route 53 failover records to enable instant DNS-based failover.

Route 53 Accelerated Recovery

  • Route 53 Accelerated Recovery (launched November 2025) provides a 60-minute recovery time objective (RTO) for regaining the ability to make DNS changes to public hosted zone records if AWS services in US East (N. Virginia) become unavailable.
  • When enabled, Route 53 achieves built-in failover of the control plane to the Oregon Region (us-west-2).
  • DNS resolution for existing records continues to function normally during any disruption; accelerated recovery specifically addresses the ability to make changes to DNS records.
  • Accelerated recovery must be explicitly enabled per public hosted zone.

Route 53 Global Resolver

  • Route 53 Global Resolver (GA March 2026) provides managed anycast DNS resolution for clients outside AWS VPCs, including on-premises data centers, branch offices, and remote locations.
  • Global Resolver uses anycast IP addresses that automatically route DNS queries to the nearest AWS Region for optimal latency and availability.
  • Key capabilities include:
    • Resolution of public internet domains and private domains associated with Route 53 private hosted zones from any location
    • DNS traffic filtering to prevent DNS-based data exfiltration
    • Encrypted queries via DNS-over-HTTPS (DoH) and DNS-over-TLS (DoT)
    • Centralized logging for compliance and security monitoring
    • Multi-region deployment with automatic failover
  • Available across 30+ AWS Regions with support for both IPv4 and IPv6 DNS query traffic.

AWS Certification Exam Practice Questions

  • Questions are collected from Internet and the answers are marked as per my knowledge and understanding (which might differ with yours).
  • AWS services are updated everyday and both the answers and questions might be outdated soon, so research accordingly.
  • AWS exam questions are not updated to keep up the pace with AWS updates, so even if the underlying feature has changed the question might not be updated
  • Open to further feedback, discussion and correction.
  1. You have deployed a web application targeting a global audience across multiple AWS Regions under the domain name example.com. You decide to use Route 53 Latency-Based Routing to serve web requests to users from the region closest to the user. To provide business continuity in the event of server downtime you configure weighted record sets associated with two web servers in separate Availability Zones per region. During a DR test you notice that when you disable all web servers in one of the regions Route 53 does not automatically direct all users to the other region. What could be happening? (Choose 2 answers)
    1. Latency resource record sets cannot be used in combination with weighted resource record sets.
    2. You did not setup an http health check for one or more of the weighted resource record sets associated with the disabled web servers
    3. The value of the weight associated with the latency alias resource record set in the region with the disabled servers is higher than the weight for the other region.
    4. One of the two working web servers in the other region did not pass its HTTP health check
    5. You did not set “Evaluate Target Health” to “Yes” on the latency alias resource record set associated with example.com in the region where you disabled the servers.
  2. The compliance department within your multi-national organization requires that all data for your customers that reside in the European Union (EU) must not leave the EU and also data for customers that reside in the US must not leave the US without explicit authorization. What must you do to comply with this requirement for a web based profile management application running on EC2?
    1. Run EC2 instances in multiple AWS Availability Zones in single Region and leverage an Elastic Load Balancer with session stickiness to route traffic to the appropriate zone to create their profile (should be in 2 different regions – US and Europe)
    2. Run EC2 instances in multiple Regions and leverage Route 53’s Latency Based Routing capabilities to route traffic to the appropriate region to create their profile (Latency based routing policy would not guarantee the compliance requirement)
    3. Run EC2 instances in multiple Regions and leverage a third party data provider to determine if a user needs to be redirect to the appropriate region to create their profile
    4. Run EC2 instances in multiple AWS Availability Zones in a single Region and leverage a third party data provider to determine if a user needs to be redirect to the appropriate zone to create their profile(should be in 2 different regions – US and Europe)
  3. A US-based company is expanding their web presence into Europe. The company wants to extend their AWS infrastructure from Northern Virginia (us-east-1) into the Dublin (eu-west-1) region. Which of the following options would enable an equivalent experience for users on both continents?
    1. Use a public-facing load balancer per region to load-balance web traffic, and enable HTTP health checks.
    2. Use a public-facing load balancer per region to load-balance web traffic, and enable sticky sessions.
    3. Use Amazon Route 53, and apply a geolocation routing policy to distribute traffic across both regions
    4. Use Amazon Route 53, and apply a weighted routing policy to distribute traffic across both regions.
  4. You have been asked to propose a multi-region deployment of a web-facing application where a controlled portion of your traffic is being processed by an alternate region. Which configuration would achieve that goal?
    1. Route 53 record sets with weighted routing policy
    2. Route 53 record sets with latency based routing policy
    3. Auto Scaling with scheduled scaling actions set
    4. Elastic Load Balancing with health checks enabled
  5. Your company is moving towards tracking web page users with a small tracking image loaded on each page. Currently you are serving this image out of us-east, but are starting to get concerned about the time it takes to load the image for users on the west coast. What are the two best ways to speed up serving this image? Choose 2 answers
    1. Use Route 53’s Latency Based Routing and serve the image out of us-west-2 as well as us-east-1
    2. Serve the image out through CloudFront
    3. Serve the image out of S3 so that it isn’t being served of your web application tier
    4. Use EBS PIOPs to serve the image faster out of your EC2 instances
  6. Your API requires the ability to stay online during AWS regional failures. Your API does not store any state, it only aggregates data from other sources – you do not have a database. What is a simple but effective way to achieve this uptime goal?
    1. Use a CloudFront distribution to serve up your API. Even if the region your API is in goes down, the edge locations CloudFront uses will be fine.
    2. Use an ELB and a cross-zone ELB deployment to create redundancy across datacenters. Even if a region fails, the other AZ will stay online.
    3. Create a Route53 Weighted Round Robin record, and if one region goes down, have that region redirect to the other region.
    4. Create a Route53 Latency Based Routing Record with Failover and point it to two identical deployments of your stateless API in two different regions. Make sure both regions use Auto Scaling Groups behind ELBs. (Refer link)
  7. A company needs to route DNS traffic for their application based on the IP addresses of their clients. They want to optimize costs by routing traffic from a specific ISP to a particular endpoint. Which Route 53 routing policy should they use?
    1. Geolocation routing policy
    2. Latency-based routing policy
    3. IP-based routing policy
    4. Weighted routing policy
  8. A company uses Route 53 to manage DNS for their multi-region application. They want to ensure that during a regional AWS outage, they can still make DNS changes to their public hosted zone within 60 minutes. Which Route 53 feature should they enable?
    1. Route 53 Application Recovery Controller
    2. Route 53 Failover routing policy
    3. Route 53 Accelerated Recovery for public hosted zones
    4. Route 53 Global Resolver
  9. A company wants to route traffic to the geographically nearest resource and also wants to shift more traffic to a newly launched region by expanding its geographic catchment area. Which Route 53 routing policy should they use?
    1. Geolocation routing policy with a default record
    2. Latency-based routing policy
    3. Weighted routing policy with regional endpoints
    4. Geoproximity routing policy with a positive bias for the new region
  10. An organization with branch offices needs secure DNS resolution for both public domains and Route 53 private hosted zones from their on-premises locations. They require encrypted DNS queries and centralized logging. Which Route 53 feature best meets these requirements?
    1. Route 53 Resolver inbound endpoints with VPN
    2. Route 53 Profiles shared via AWS RAM
    3. Route 53 Global Resolver with DoH/DoT
    4. Route 53 Traffic Flow with failover

References