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NEW QUESTION 26
You are managing an application that contains Go as the front end, MongoDB for document management and
is hosted on a relevant Web server. You pre-bake AMI'S with the latest version of the Web server, then user
the User Data section to setup the application. You now have a change to the underlying Operating system
version and need to deploy that accordingly. How can this be done in the easiest way possible.

• A. Createa Cloudformation stack with the new AMI and then deploy the applicationaccordingly.
• B. Createa new pre-baked AM I with the new OS and use the User Data seciton to deploy theapplication.
• C. Createan Opswork stack with the new AMI and then deploy the application accordingly.
• D. Createa new EBS Volume with the relevant OS patches and attach it to the EC2lnstance.

Answer: B

Explanation:
Explanation
The best way in this scenario is to continue the same deployment process which was being used and create a
new AMI and then use the User Data section to deploy the application.
For more information on AWS AMI's please see the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/AMIs.htmls

NEW QUESTION 27
You are doing a load testing exercise on your application hosted on AWS. While testing your Amazon RDS MySQL DB instance, you notice that when you hit 100% CPU utilization on it, your application becomes non- responsive. Your application is read-heavy. What are methods to scale your data tier to meet the application's needs? Choose three answers from the options given below

• A. Enable Multi-AZ for your Amazon RDS DB instance.
• B. Add your Amazon RDS DB instance to an Auto Scalinggroup and configure your Cloud Watch metric based on CPU utilization.
• C. Use ElastiCache in front of your Amazon RDS DB to cache common queries.
• D. Use an Amazon SQS queue to throttle data going to the Amazon RDS DB instance.
• E. Shard your data set among multiple Amazon RDS DB instances.
• F. Add Amazon RDS DB read replicas, and have your application direct read queries to them.

Answer: C,E,F

Explanation:
Explanation
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances. This replication feature makes it easy to elastically scale out beyond the capacity constraints of a single DB Instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput For more information on Read Replica's please refer to the below link:
https://aws.amazon.com/rds/details/read-replicas/
Sharding is a common concept to split data across multiple tables in a database For more information on sharding please refer to the below link:
* https://forums.awsa mazon.com/thread jspa?messagelD=203052
Amazon OastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases Amazon OastiCache is an in-memory key/value store that sits between ycbetappiicipiJGra arcdalie data store (database) that it accesses. Whenever your application requests data, it first makes the request to the DastiCache cache. If the data exists in the cache and is current, OastiCache returns the data to your application. If the data does not exist in the cache, or the data in the cache has expired, your application requests the data from your data store which returns the data to your application. Your application then writes the data received from the store to the cache so it can be more quickly retrieved next time it is requested. For more information on Elastic Cache please refer to the below link:
* https://aws.amazon.com/elasticache/
Option B is not an ideal way to scale a database
Option C is not ideal to store the data which would go into a database because of the message size Option F is invalid because Multi-AZ feature is only a failover option

NEW QUESTION 28
You need to create a Route53 record automatically in CloudFormation when not running in production during all launches of a Template. How should you implement this?

• A. Create two templates, one with the Route53 record and one without it. Use the one without it when deploying to production.
• B. Use a <code>Parameter</code> for <code>environment</code>, and add a
  <code>Condition</code> on the Route53 <code>Resource</code> in the template to create the record only when <code>environment</code> is not <code>production</code>.
• C. Use a <code>Parameter</code> for <code>environment</code>, and add a
  <code>Condition</code> on the Route53 <code>Resource</code> in the template to create the record with a null string when <code>environment</code> is <code>production</code>.
• D. Create two templates, one with the Route53 record value and one with a null value for the record.
  Use the one without it when deploying to production.

Answer: B

Explanation:
The best way to do this is with one template, and a Condition on the resource. Route53 does not allow null strings for records.
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/conditions-section- structure.html

NEW QUESTION 29
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