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NEW QUESTION 23

Refer to the architecture diagram above of a batch processing solution using Simple Queue Service (SQS) to set up a message queue between EC2 instances which are used as batch processors Cloud Watch monitors the number of Job requests (queued messages) and an Auto Scaling group adds or deletes batch servers automatically based on parameters set in Cloud Watch alarms.
You can use this architecture to implement which of the following features in a cost effective and efficient manner?

• A. Implement message passing between EC2 instances within a batch by exchanging messages through SQS.
• B. Coordinate number of EC2 instances with number of job requests automatically thus Improving cost effectiveness.
• C. Implement fault tolerance against EC2 instance failure since messages would remain in SQS and worn can continue with recovery of EC2 instances implement fault tolerance against SQS failure by backing up messages to S3.
• D. Reduce the overall lime for executing jobs through parallel processing by allowing a busy EC2 instance that receives a message to pass it to the next instance in a daisy-chain setup.
• E. Handle high priority jobs before lower priority jobs by assigning a priority metadata field to SQS messages.

Answer: B

Explanation:
Explanation
There are cases where a large number of batch jobs may need processing, and where the jobs may need to be re-prioritized.
For example, one such case is one where there are differences between different levels of services for unpaid users versus subscriber users (such as the time until publication) in services enabling, for example, presentation files to be uploaded for publication from a web browser. When the user uploads a presentation file, the conversion processes, for example, for publication are performed as batch processes on the system side, and the file is published after the conversion. Is it then necessary to be able to assign the level of priority to the batch processes for each type of subscriber?
Explanation of the Cloud Solution/Pattern
A queue is used in controlling batch jobs. The queue need only be provided with priority numbers. Job requests are controlled by the queue, and the job requests in the queue are processed by a batch server. In Cloud computing, a highly reliable queue is provided as a service, which you can use to structure a highly reliable batch system with ease. You may prepare multiple queues depending on priority levels, with job requests put into the queues depending on their priority levels, to apply prioritization to batch processes. The performance (number) of batch servers corresponding to a queue must be in accordance with the priority level thereof.
Implementation
In AWS, the queue service is the Simple Queue Service (SQS). Multiple SQS queues may be prepared to prepare queues for individual priority levels (with a priority queue and a secondary queue). Moreover, you may also use the message Delayed Send function to delay process execution.
Use SQS to prepare multiple queues for the individual priority levels.
Place those processes to be executed immediately (job requests) in the high priority queue.
Prepare numbers of batch servers, for processing the job requests of the queues, depending on the priority levels.
Queues have a message "Delayed Send" function. You can use this to delay the time for starting a process.
Configuration

Benefits
You can increase or decrease the number of servers for processing jobs to change automatically the processing speeds of the priority queues and secondary queues.
You can handle performance and service requirements through merely increasing or decreasing the number of EC2 instances used in job processing.
Even if an EC2 were to fail, the messages (jobs) would remain in the queue service, enabling processing to be continued immediately upon recovery of the EC2 instance, producing a system that is robust to failure.
Cautions
Depending on the balance between the number of EC2 instances for performing the processes and the number of messages that are queued, there may be cases where processing in the secondary queue may be completed first, so you need to monitor the processing speeds in the primary queue and the secondary queue.

NEW QUESTION 24
A solutions architect is designing the data storage and retrieval architecture for a new application that a company will be launching soon. The application is designed to ingest millions of small records per minute from devices all around the world. Each record is less than 4 KB in size and needs to be stored in a durable location where it can be retrieved with low latency. The data is ephemeral and the company is required to store the data for 120 days only, after which the data can be deleted.
The solutions architect calculates that, during the course of a year, the storage requirements would be about 10-15 TB.
Which storage strategy is the MOST cost-effective and meets the design requirements?

• A. Design the application to batch incoming records before writing them to an Amazon S3 bucket. Update the metadata for the object to contain the list of records in the batch and use the Amazon S3 metadata search feature to retrieve the data. Configure a lifecycle policy to delete the data after 120 days.
• B. Design the application to store each incoming record in an Amazon DynamoDB table properly configured for the scale. Configure the DynamoOB Time to Live (TTL) feature to delete records older than 120 days.
• C. Design the application to store each incoming record in a single table in an Amazon RDS MySQL database. Run a nightly cron job that executes a query to delete any records older than 120 days.
• D. Design the application to store each incoming record as a single .csv file in an Amazon S3 bucket to allow for indexed retrieval. Configure a lifecycle policy to delete data older than 120 days.

Answer: A

NEW QUESTION 25
A user wants to configure AutoScaling which scales up when the CPU utilization is above 70% and scales down when the CPU utilization is below 30%.
How can the user configure AutoScaling for the above mentioned condition?

• A. Use AutoScaling by manually modifying the desired capacity during a condition
• B. Use dynamic AutoScaling with a policy
• C. Use AutoScaling with a schedule
• D. Configure ELB to notify AutoScaling on load increase or decrease

Answer: B

Explanation:
Explanation
The user can configure the AutoScaling group to automatically scale up and then scale down based on the specified conditions. To configure this, the user must setup policies which will get triggered by the CloudWatch alarms.
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/as-scale-based-on-demand.html

NEW QUESTION 26
Your company hosts a social media website for storing and sharing documents. The web application allows user to upload large files while resuming and pausing the upload as needed. Currently, files are uploaded to your PHP front end backed by Elastic Load Balancing and an autoscaling fleet of Amazon Elastic Compute Cloud (EC2) instances that scale upon average of bytes received (NetworkIn). After a file has been uploaded, it is copied to Amazon Simple Storage Service (S3). Amazon EC2 instances use an AWS Identity and Access Management (IAM) role that allows Amazon S3 uploads. Over the last six months, your user base and scale have increased significantly, forcing you to increase the Auto Scaling group's Max parameter a few times.
Your CFO is concerned about rising costs and has asked you to adjust the architecture where needed to better optimize costs.
Which architecture change could you introduce to reduce costs and still keep your web application secure and scalable?

• A. Replace the Auto Scaling launch configuration to include c3.8xlarge instances; those instances can potentially yield a network throughput of 10gbps.
• B. Re-architect your ingest pattern, and move your web application instances into a VPC public subnet.
  Attach a public IP address for each EC2 instance (using the Auto Scaling launch configuration settings).
  Use Amazon Route 53 Round Robin records set and HTTP health check to DNS load balance the app requests; this approach will significantly reduce the cost by bypassing Elastic Load Balancing.
• C. Re-architect your ingest pattern, have the app authenticate against your identity provider, and use your identity provider as a broker fetching temporary AWS credentials from AWS Secure Token Service (GetFederationToken). Securely pass the credentials and S3 endpoint/prefix to your app. Implement client-side logic that used the S3 multipart upload API to directly upload the file to Amazon S3 using the given credentials and S3 prefix.
• D. Re-architect your ingest pattern, have the app authenticate against your identity provider, and use your identity provider as a broker fetching temporary AWS credentials from AWS Secure Token Service (GetFederationToken). Securely pass the credentials and S3 endpoint/prefix to your app. Implement client-side logic to directly upload the file to Amazon S3 using the given credentials and S3 prefix.

Answer: C

NEW QUESTION 27
One of the AWS account owners faced a major challenge in June as his account was hacked and the hacker deleted all the data from his AWS account. This resulted in a major blow to the business.
Which of the below mentioned steps would not have helped in preventing this action?

• A. Take a backup of the critical data to offsite / on premise.
• B. Do not share the AWS access and secret access keys with others as well do not store it inside programs, instead use IAM roles.
• C. Setup an MFA for each user as well as for the root account user.
• D. Create an AMI and a snapshot of the data at regular intervals as well as keep a copy to separate regions.

Answer: D

Explanation:
Explanation
AWS security follows the shared security model where the user is as much responsible as Amazon. If the user wants to have secure access to AWS while hosting applications on EC2, the first security rule to follow is to enable MFA for all users. This will add an added security layer. In the second step, the user should never give his access or secret access keys to anyone as well as store inside programs. The better solution is to use IAM roles. For critical data of the organization, the user should keep an offsite/ in premise backup which will help to recover critical data in case of security breach. It is recommended to have AWS AMIs and snapshots as well as keep them at other regions so that they will help in the DR scenario. However, in case of a data security breach of the account they may not be very helpful as hacker can delete that.
Therefore, creating an AMI and a snapshot of the data at regular intervals as well as keep a copy to separate regions, would not have helped in preventing this action.

NEW QUESTION 28
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