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NEW QUESTION 46
Your application consists of 10% writes and 90% reads. You currently service all requests through a Route53 Alias Record directed towards an AWS ELB, which sits in front of an EC2 Auto Scaling Group. Your system is getting very expensive when there are large traffic spikes during certain news events, during which many more people request to read similar data all at the same time. What is the simplest and cheapest way to reduce costs and scale with spikes like this?

• A. Create an S3 bucket and asynchronously replicate common requests responses into S3 objects.
  When a request comes in for a precomputed response, redirect to AWS S3.
• B. Create a CloudFront Distribution and direct Route53 to the Distribution.
  Use the ELB as an Origin and specify Cache Behaviours to proxy cache requests which can be served late.
• C. Create a Memcached cluster in AWS ElastiCache. Create cache logic to serve requests which can be served late from the in-memory cache for increased performance.
• D. Create another ELB and Auto Scaling Group layer mounted on top of the other system, adding a tier to the system. Serve most read requests out of the top layer.

Answer: B

Explanation:
CloudFront is ideal for scenarios in which entire requests can be served out of a cache and usage patterns involve heavy reads and spikiness in demand.
A cache behavior is the set of rules you configure for a given URL pattern based on file extensions, file names, or any portion of a URL path on your website (e.g., *.jpg). You can configure multiple cache behaviors for your web distribution. Amazon CloudFront will match incoming viewer requests with your list of URL patterns, and if there is a match, the service will honor the cache behavior you configure for that URL pattern. Each cache behavior can include the following Amazon CloudFront configuration values:
origin server name, viewer connection protocol, minimum expiration period, query string parameters, cookies, and trusted signers for private content.
https://aws.amazon.com/cloudfront/dynamic-content/

NEW QUESTION 47
Your company has an on-premise Active Directory setup in place. The company has extended their footprint on AWS, but still want to have the ability to use their on-premise Active Directory for authentication. Which of the following AWS services can be used to ensure that AWS resources such as AWS Workspaces can continue to use the existing credentials stored in the on-premise Active Directory.

• A. Use the AWS Simple AD service
• B. Use the ClassicLink feature on AWS
• C. Use the Active Directory service on AWS
• D. Use the Active Directory connector service on AWS

Answer: D

Explanation:
Explanation
The AWS Documentation mentions the following
AD Connector is a directory gateway with which you can redirect directory requests to your on-premises Microsoft Active Directory without caching any information in the cloud. AD Connector comes in two sizes, small and large. A small AD Connector is designed for smaller organizations of up to 500 users. A large AD Connector can support larger organizations of up to 5,000 users.
For more information on the AD connector, please refer to the below URL:
http://docs.aws.amazon.com/directoryservice/latest/admin-guide/directory_ad_con nector.html

NEW QUESTION 48
A company runs a database on a single Amazon EC2 instance in a development environment. The data is stored on separate Amazon EBS volumes that are attached to the EC2 instance. An Amazon Route 53 A record has been created and configured to point to the EC2 instance. The company would like to automate the recovery of the database instance when an instance or Availability Zone (AZ) fails. The company also wants to keep its costs low. The RTO is 4 hours and RPO is 12 hours.
Which solution should a DevOps Engineer implement to meet these requirements?

• A. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Add a lifecycle hook to the Auto Scaling group and define an Amazon CloudWatch Events rule that is triggered when a lifecycle event occurs. Have the CloudWatch Events rule invoke an AWS Lambda function to detach or attach the Amazon EBS data volumes from the EC2 instance based on the event. Configure the EC2 instance UserData to mount the data volumes (retry on failure with a short delay), then start the database and update the Route 53 record.
• B. Run the database on two separate EC2 instances in different AZs. Configure one of the instances as a master and the other as a standby. Set up replication between the master and standby instances. Point the Route 53 record to the master. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function upon the EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, the function promotes the standby to master and points the Route 53 record to it.
• C. Run the database on two separate EC2 instances in different AZs with one active and the other as a standby. Attach the data volumes to the active instance. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function on EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, then the function attaches the data volumes to the standby node. Start the database and update the Route 53 record.
• D. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Create an AWS Lambda function that is triggered by a scheduled Amazon CloudWatch Events rule every 4 hours to take a snapshot of the data volume and apply a tag. Have the instance UserData get the latest snapshot, create a new volume from it, and attach and mount the volume. Then start the database and update the Route 53 record.

Answer: B

NEW QUESTION 49
Your company currently has a set of EC2 Instances running a web application which sits behind an Elastic Load Balancer. You also have an Amazon RDS instance which is used by the web application. You have been asked to ensure that this arhitecture is self healing in nature and cost effective. Which of the following would fulfil this requirement. Choose 2 answers from the option given below

• A. UseCloudwatch metrics to check the utilization of the databases servers. UseAutoscaling Group to scale the database instances accordingly based on thecloudwatch metrics.
• B. Utilizethe Read Replica feature forthe Amazon RDS layer
• C. UseCloudwatch metrics to check the utilization of the web layer. Use AutoscalingGroup to scale the web instances accordingly based on the cloudwatch metrics.
• D. Utilizethe Multi-AZ feature for the Amazon RDS layer

Answer: C,D

Explanation:
Explanation
The following diagram from AWS showcases a self-healing architecture where you have a set of CC2 servers as Web server being launched by an Autoscaling Group.

The AWS Documentation mentions the following
Amazon RDS Multi-A2 deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention. For more information on Multi-AZ RDS, please refer to the below link:
https://aws.amazon.com/rds/details/multi-az/

NEW QUESTION 50
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