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A company is using an Amazon CloudFront distribution to distribute both static and dynamic content from a web application running behind an Application Load Balancer. The web application requires user authorization and session tracking tor dynamic content. The CloudFront distribution has a single cache behavior configured to forward the Authorization, Host, and Agent HTTP allow list headers and a session cookie to the origin All other cache behavior settings are set to their default value A valid ACM certificate is applied to the CloudFront distribution with a matching CNAME in the distribution settings. The ACM certificate is also applied to the HTTPS listener for the Application Load Balancer. The CloudFront origin protocol policy is set to HTTPS only Analysis of the cache statistics report shows that the miss rate for this distribution is very high
What can the solutions architect do to improve the cache hit rate for this distribution without causing the SSL/TLS handshake between CloudFront and the Application Load Balancer to fail?
A. Create two cache behaviors for static and dynamic content Remove the user-Agent and Host HTTP headers from the allow list headers section on both of the cache behaviors Remove the session cookie from the allow list cookies section and the Authorization HTTP header from the allow list headers section for cache behavior configured for static content
B. Create two cache behaviours for static and dynamic content Remove the User-Agent HTTP header from the allow list headers section on both of the cache behaviours Remove the session cookie from the allow list cookies section and the Authorization HTTP header from the allow list headers section for cache behaviour configured for static content
C. Remove the Host HTTP header from the allow list headers section and remove the session cookie from the allow list cookies section for the default cache behaviour Enable automatic object compression and use Lambda@Edge viewer request events for user authorization
D. Remove the user-Agent and Authorization HTTP headers from the allow list headers section of the cache behaviour. Then update the cache behaviour to use resigned cookies for authorization
Answer: B
NEW QUESTION # 471
A company needs to architect a hybrid DNS solution. This solution will use an Amazon Route 53 private hosted zone for the domain cloud.example.com for the resources stored within VPCs.
The company has the following DNS resolution requirements:
* On-premises systems should be able to resolve and connect to cloud.example.com.
* All VPCs should be able to resolve cloud.example.com.
There is already an AWS Direct Connect connection between the on-premises corporate network and AWS Transit Gateway. Which architecture should the company use to meet these requirements with the HIGHEST performance?
A. Associate the private hosted zone to all the VPCs. Deploy an Amazon EC2 conditional forwarder in the shared services VPC. Attach all VPCs to the transit gateway and create forwarding rules in the on-premises DNS server for cloud.example.com that point to the conditional forwarder.
B. Associate the private hosted zone to the shared services VPC. Create a Route 53 inbound resolver in the shared services VPC. Attach the shared services VPC to the transit gateway and create forwarding rules in the on-premises DNS server for cloud.example.com that point to the inbound resolver.
C. Associate the private hosted zone to all the VPCs. Create a Route 53 inbound resolver in the shared services VPC. Attach all VPCs to the transit gateway and create forwarding rules in the on-premises DNS server for cloud.example.com that point to the inbound resolver.
D. Associate the private hosted zone to the shared services VPC. Create a Route 53 outbound resolver in the shared services VPC. Attach all VPCs to the transit gateway and create forwarding rules in the on-premises DNS server for cloud.example.com that point to the outbound resolver.
Answer: C
Explanation:
Explanation
Amazon Route 53 Resolver is a managed DNS resolver service from Route 53 that helps to create conditional forwarding rules to redirect query traffic1. By associating the private hosted zone to all the VPCs, the solutions architect can enable DNS resolution for cloud.example.com within the VPCs. By creating a Route 53 inbound resolver in the shared services VPC, the solutions architect can enable DNS resolution for cloud.example.com from on-premises systems. By attaching all VPCs to the transit gateway, the solutions architect can enable connectivity between the VPCs and the on-premises network through AWS Direct Connect. By creating forwarding rules in the on-premises DNS server for cloud.example.com that point to the inbound resolver, the solutions architect can direct DNS queries for cloud.example.com to the Route 53 Resolver endpoint in AWS.
This solution will provide the highest performance as it leverages Route 53 Resolver's optimized routing and caching capabilities.
References: 1: https://aws.amazon.com/route53/resolver/
NEW QUESTION # 472
A solutions architect must create a business case for migration of a company's on-premises data center to the AWS Cloud. The solutions architect will use a configuration management database (CMDB) export of all the company's servers to create the case.
Which solution will meet these requirements MOST cost-effectively?
A. Use AWS Application Discovery Service to import the CMDB data to perform an analysis.
B. Implement resource matching rules. Use the CMDB export and the AWS Price List Bulk API to query CMDB data against AWS services in bulk.
C. Use AWS Well-Architected Tool to import the CMDB data to perform an analysis and generate recommendations.
D. Use Migration Evaluator to perform an analysis. Use the data import template to upload the data from the CMDB export.
Answer: D
Explanation: https://aws.amazon.com/blogs/arc ... r-migration-to-aws/
Build a business case with AWS Migration Evaluator
The foundation for a successful migration starts with a defined business objective (for example, growth or new offerings).
In order to enable the business drivers, the established business case must then be aligned to a technical capability (increased security and elasticity). AWS Migration Evaluator (formerly known as TSO Logic) can help you meet these objectives. To get started, you can choose to upload exports from third-party tools such as Configuration Management Database (CMDB) or install a collector agent to monitor. You will receive an assessment after data collection, which includes a projected cost estimate and savings of running your on-premises workloads in the AWS Cloud. This estimate will provide a summary of the projected costs to re-host on AWS based on usage patterns. It will show the breakdown of costs by infrastructure and software licenses. With this information, you can make the business case and plan next steps.
NEW QUESTION # 473
A company needs to optimize the cost of backups for Amazon Elastic File System (Amazon EFS). A solutions architect has already configured a backup plan in AWS Backup for the EFS backups. The backup plan contains a rule with a lifecycle configuration to transition EFS backups to cold storage after 7 days and to keep the backups for an additional 90 days.
After I month, the company reviews its EFS storage costs and notices an increase in the EFS backup costs.
The EFS backup cold storage produces almost double the cost of the EFS warm backup storage.
What should the solutions architect do to optimize the cost?
A. Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 8 days.
Set the backup retention period to 30 days.
B. Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 8 days.
Set the backup retention period to 98 days.
C. Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 1 day.
Set the backup retention period to 90 days.
D. Modify the backup rule's lifecycle configuration to move the EFS backups to cold storage after 1 day.
Set the backup retention period to 30 days.
Answer: B
NEW QUESTION # 474
A company wants to migrate its data analytics environment from on premises to AWS The environment consists of two simple Node js applications One of the applications collects sensor data and loads it into a MySQL database. The other application aggregates the data into reports When the aggregation jobs run. some of the load jobs fail to run correctly
The company must resolve the data loading issue. The company also needs the migration to occur without interruptions or changes for the company's customers
What should a solutions architect do to meet these requirements'?
A. Set up an Amazon Aurora MySQL database Create an Aurora Replica for the Aurora MySQL database and move the aggregation jobs to run against the Aurora Replica Set up collection endpoints as an Amazon Kinesis data stream Use Amazon Kinesis Data Firehose to replicate the data to the Aurora MySQL database When the databases are synced disable the replication job and restart the Aurora Replica as the primary instance Point the collector DNS record to the Kinesis data stream.
B. Set up an Amazon Aurora MySQL database Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora Move the aggregation jobs to run against the Aurora MySQL database Set up collection endpomts behind an Application Load Balancer (ALB) as Amazon EC2 instances in an Auto Scaling group When the databases are synced, point the collector DNS record to the ALB Disable the AWS DMS sync task after the cutover from on premises to AWS
C. Set up an Amazon Aurora MySQL database as a replication target for the on-premises database Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica Set up collection endpomts as AWS Lambda functions behind a Network Load Balancer (NLB). and use Amazon RDS Proxy to wnte to the Aurora MySQL database When the databases are synced disable the replication job and restart the Aurora Replica as the primary instance. Point the collector DNS record to the NLB.
D. Set up an Amazon Aurora MySQL database Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora Create an Aurora Replica for the Aurora MySQL database and move the aggregation jobs to run against the Aurora Replica Set up collection endpoints as AWS Lambda functions behind an Application Load Balancer (ALB) and use Amazon RDS Proxy to write to the Aurora MySQL database When the databases are synced, point the collector DNS record to the ALB Disable the AWS DMS sync task after the cutover from on premises to AWS
Answer: D
NEW QUESTION # 475
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