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Our exam collection is consistently being updated with the latest materials for existing tests, as well as new certifications. Every question is also associated with the solution and each solution is explained in detail. Setup a script in your data center to backup the local database every 1 hour and to encrypt and copy the resulting file to an S3 bucket using multi-part upload. Install your application on a compute-optimized EC2 instance capable of supporting the application's average load.
Synchronously replicate transactions from your on-premises database to a database instance in AWS across a secure Direct Connect connection.
You can connect to your instance and customize it. When the instance is configured correctly, ensure data integrity by stopping the instance before you create an AMI, then create the image.
Amazon EC2 powers down the instance before creating the AMI to ensure that everything on the instance is stopped and in a consistent state during the creation process. If you're confident that your instance is in a consistent state appropriate for AMI creation, you can tell Amazon EC2 not to power down and reboot the instance.
Some file systems, such as XFS, can freeze and unfreeze activity, making it safe to create the image without rebooting the instance. If any volumes attached to the instance are encrypted, the new AMI only launches successfully on instances that support Amazon EBS encryption. Depending on the size of the volumes, it can take several minutes for the AMI-creation process to complete sometimes up to 24 hours.
You may find it more efficient to create snapshots of your volumes prior to creating your AMI. This way, only small, incremental snapshots need to be created when the AMI is created, and the process completes more quickly the total time for snapshot creation remains the same. After the process completes, you have a new AMI and snapshot created from the root volume of the instance. Both the AMI and the snapshot incur charges to your account until you delete them. If you add instance-store volumes or EBS volumes to your instance in addition to the root device volume, the block device mapping for the new AMI contains information for these volumes, and the block device mappings for instances that you launch from the new AMI automatically contain information for these volumes.
The instance-store volumes specified in the block device mapping for the new instance are new and don't contain any data from the instance store volumes of the instance you used to create the AMI. The data on EBS volumes persists. For more information, see Block Device Mapping. Take hourly DB backups to S3, with transaction logs stored in S3 every 5 minutes. Use synchronous database master-slave replication between two availability zones.
Answer: A Question: 21 Your startup wants to implement an order fulfillment process for selling a personalized gadget that needs an average of days to produce with some orders taking up to 6 months you expect 10 orders per day on your first day. Orders coming in are checked for consistency men dispatched to your manufacturing plant for production quality control packaging shipment and payment processing If the product does not meet the quality standards at any stage of the process employees may force the process to repeat a step Customers are notified via email about order status and any critical issues with their orders such as payment failure.
How can you implement the order fulfillment process while making sure that the emails are delivered reliably? Add a business process management application to your Elastic Beanstalk app servers and re-use the ROS database for tracking order status use one of the Elastic Beanstalk instances to send emails to customers.
Use SES to send emails to customers. Answer: C Question: 22 You have deployed a web application targeting a global audience across multiple AWS Regions under the domain name. You decide to use Route53 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.
Dunning a DR test you notice that when you disable all web servers in one of the regions Route53 does not automatically direct all users to the other region. What could be happening? Latency resource record sets cannot be used in combination with weighted resource record sets. You did not setup an HTTP health check tor one or more of the weighted resource record sets associated with me disabled web servers.
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.
One of the two working web servers in the other region did not pass its HTTP health check. 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. However, in complex configurations, you use a combination of alias resource record sets including weighted alias, latency alias, and failover alias and nonalias resource record sets to build a decision tree that gives you greater control over how Amazon Route 53 responds to requests.
For example, you might use latency alias resource record sets to select a region close to a user and use weighted resource record sets for two or more resources within each region to protect against the failure of a single endpoint or an Availability Zone.
The following diagram shows this configuration. You want Amazon Route 53 to respond to queries by using the resource record sets in the region that provides the lowest latency for your customers, so you create a latency alias resource record set for each region.
You create the latency alias resource record sets after you create resource record sets for the individual Amazon EC2 instances. Within each region, you have two Amazon EC2 instances. You create a weighted resource record set for each instance. The name and the type are the same for both of the weighted resource record sets in each region. When you have multiple resources in a region, you can create weighted or failover resource record sets for your resources.
You can also create even more complex configurations by creating weighted alias or failover alias resource record sets that, in turn, refer to multiple resources. Each weighted resource record set has an associated health check.
The IP address for each health check matches the IP address for the corresponding resource record set. This isn't required, but it's the most common configuration. For both latency alias resource record sets, you set the value of Evaluate Target Health to Yes.
You use the Evaluate Target Health setting for each latency alias resource record set to make Amazon Route 53 evaluate the health of the alias targets—the weighted resource record sets—and respond accordingly. Based on the latency for the user making the request, Amazon Route 53 selects the latency alias resource record set for the us-east-1 region.
Amazon Route 53 selects a weighted resource record set based on weight. Evaluate Target Health is Yes for the latency alias resource record set, so Amazon Route 53 checks the health of the selected weighted resource record set.
The health check failed, so Amazon Route 53 chooses another weighted resource record set based on weight and checks its health. That resource record set also is unhealthy. Amazon Route 53 backs out of that branch of the tree, looks for the latency alias resource record set with the next-best latency, and chooses the resource record set for ap-southeast Amazon Route 53 again selects a resource record set based on weight, and then checks the health of the selected resource record set.
The health check passed, so Amazon Route 53 returns the applicable value in response to the query. You can associate a health check with an alias resource record set instead of or in addition to setting the value of Evaluate Target Health to Yes.
However, it's generally more useful if Amazon Route 53 responds to queries based on the health of the underlying resources—the HTTP servers, database servers, and other resources that your alias resource record sets refer to. For example, suppose the following configuration: You assign a health check to a latency alias resource record set for which the alias target is a group of weighted resource record sets.
You set the value of Evaluate Target Health to Yes for the latency alias resource record set. In this configuration, both of the following must be true before Amazon Route 53 will return the applicable value for a weighted resource record set: The health check associated with the latency alias resource record set must pass. At least one weighted resource record set must be considered healthy, either because it's associated with a health check that passes or because it's not associated with a health check.
In the latter case, Amazon Route 53 always considers the weighted resource record set healthy. Amazon Route 53 doesn't know the status of the weighted resource record sets because it never looks past the failed health check on the alias resource record set.
In a complex configuration, it's important to associate health checks with all of the non-alias resource record sets.
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