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NEW QUESTION 25
A media customer has several thousand amazon EC2 instances in an AWS account. The customer is using a Slack channel for team communications and important updates. A DevOps Engineer was told to send all AWS- scheduled EC2 maintenance notifications to the company Slack channel.
Which method should the Engineer use to implement this process in the LEAST amount of steps?

• A. Integrate AWS Support with AWS CloudTrail. Based on the CloudTrail lookup event created, the event can invoke an AWS Lambda function to pass EC2 maintenance notifications to the Slack channel.
• B. Integrate AWS Trusted Advisor with AWS Config. Based on the AWS Config rules created, the AWS Config event can invoke an AWS Lambda function to send notifications to the Slack channel.
• C. Integrate EC2 events with Amazon CloudWatch monitoring. Based on the CloudWatch Alarm created, the alarm can invoke an AWS Lambda function to send EC2 maintenance notifications to the Slack channel.
• D. Integrate AWS Personal Health Dashboard with Amazon CloudWatch Events. Based on the CloudWatch Events created, the event can invoke an AWS Lambda function to send notifications to the Slack channel.

Answer: D

Explanation:
Explanation/Reference:
https://docs.aws.amazon.com/health/latest/ug/cloudwatch-events-health.html

NEW QUESTION 26
You are creating a new API for video game scores. Reads are 100 times more common than writes, and the top 1% of scores are read 100 times more frequently than the rest of the scores.
What's the best design for this system, using DynamoDB?

• A. DynamoDB table with roughly equal read and write throughput, with CloudFront caching.
• B. DynamoDB table with 100x higher read than write throughput, with ElastiCache caching.
• C. DynamoDB table with roughly equal read and write throughput, with ElastiCache caching.
• D. DynamoDB table with 100x higher read than write throughput, with CloudFront caching.

Answer: C

Explanation:
Because the 100x read ratio is mostly driven by a small subset, with caching, only a roughly equal number of reads to writes will miss the cache, since the supermajority will hit the top 1% scores. Knowing we need to set the values roughly equal when using caching, we select AWS ElastiCache, because CloudFront cannot directly cache DynamoDB queries, and ElastiCache is an excellent in-memory cache for database queries, rather than a distributed proxy cache for content delivery. ... One solution would be to cache these reads at the application layer. Caching is a technique that is used in many high-throughput applications, offloading read activity on hot items to the cache rather than to the database. Your application can cache the most popular items in memory, or use a product such as ElastiCache to do the same.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuidelinesForTables.html# Guideli nesForTables.CachePopularItem

NEW QUESTION 27
You are designing a system which needs, at minumum, 8 m4.large instances operating to service traffic.
When designing a system for high availability in the us-east-1 region, which has 6 Availability Zones, you
company needs to be able to handle death of a full availability zone. How should you distribute the
servers, to save as much cost as possible, assuming all of the EC2 nodes are properly linked to an ELB?
Your VPC account can utilize us-east-1's AZ's a through f, inclusive.

• A. 8 servers in each of AZ's a and b.
• B. 3 servers in each of AZ's a through d, inclusive.
• C. 4 servers in each of AZ's a through c, inclusive.
• D. 2 servers in each of AZ's a through e, inclusive.

Answer: D

Explanation:
You need to design for N+1 redundancy on Availability Zones. ZONE_COUNT =
(REQUIRED_INSTANCES / INSTANCE_COUNT_PER_ZONE) + 1. To minimize cost, spread the
instances across as many possible zones as you can. By using a though e, you are allocating 5 zones.
Using 2 instances, you have 10 total instances. If a single zone fails, you have 4 zones left, with 2
instances each, for a total of 8 instances. By spreading out as much as possible, you have increased cost
by only 25% and significantly de-risked an availability zone failure.
Reference:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-
regions-availability-zones

NEW QUESTION 28
You are currently using Elastic Beanstalk to host your production environment. You need to rollout updates to your application hosted on this environment. This is a critical application which is why there is a requirement that the rollback, if required, should be carried out with the least amount of downtime. Which of the following deployment strategies would ideally help achieve this purpose

• A. Use Rolling updates in Elastic Beanstalk so that if the deployment fails, the rolling updates feature would roll back to the last deployment.
• B. Create another parallel environment in elastic beanstalk. Use the Swap URL feature.
• C. Create another parallel environment in elastic beanstalk. Create a new Route53 Domain name for the new environment and release that url to the users.
• D. Create a Cloudformation template with the same resources as those in the Elastic beanstalk environment.
  If the deployment fails, deploy the Cloudformation template.

Answer: B

Explanation:
Explanation
Since the requirement is to have the least amount of downtime, the ideal way is to create a blue green deployment environment and then use the Swap URL feature to swap environments for the new deployment and then do the swap back, incase the deployment fails.
The AWS Documentation mentions the following on the SWAP url feature of Elastic Beanstalk Because Elastic Beanstalk performs an in-place update when you update your application versions, your application may become unavailable to users for a short period of time. It is possible to avoid this downtime by performing a blue/green deployment, where you deploy the new version to a separate environment, and then swap CNAMCs of the two environments to redirect traffic to the new version instantly.

NEW QUESTION 29
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