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NEW QUESTION: 1

Simple Queue Service（SQS）を使用してバッチプロセッサとして使用されるEC2インスタンス間にメッセージキューを設定するバッチ処理ソリューションのアーキテクチャ図を参照してください。Cloud Watchはジョブリクエスト（キューメッセージ）とAuto Scalingグループの数を監視しますCloud Watchアラームで設定されたパラメータに基づいて、バッチサーバーを自動的に追加または削除します。
このアーキテクチャを使用して、費用対効果が高く効率的な方法で次の機能のどれを実装できますか？
A. EC2インスタンスの数とジョブ要求の数を自動的に調整して、費用対効果を向上させる。
B. 優先順位の高いメタデータフィールドをSQSメッセージに割り当てることで、優先順位の低いジョブよりも優先順位の高いジョブを処理します。
C. メッセージを受信するビジー状態のEC2インスタンスがデイジーチェーン設定で次のインスタンスに渡すことができるようにすることで、並列処理によってジョブを実行するための総時間を短縮します。
D. メッセージはSQSに残り、消耗する可能性があるため、EC2インスタンスの障害に対するフォールトトレランスを実装することで、メッセージをS3にバックアップすることでSQS障害に対するフォールトトレランスを実装できます。
E. SQSを介してメッセージを交換することにより、バッチ内でEC2インスタンス間のメッセージ受け渡しを実装する。
Answer: A
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: 2
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind
load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use
to implement a self-healing and cost-effective architecture? Choose 2 answers from the optionsgiven below
A. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the
Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
B. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in
order to determine which instance is unhealthy and replace it.
C. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the
data storage layer to ensure that they don't become unhealthy.
D. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the
Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
E. Use an Amazon RDS Multi-AZ deployment.
F. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom
Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
G. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the
Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
Answer: A,E
Explanation:
Explanation
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU
utilization of the current instances in the Autoscaling group
For more information on scaling in your Autoscaling Group, please refer to the below link:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html
Amazon RDS Multi-AZ 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. For more information on RDS
Multi-AZ please refer to the below link:
* https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to
spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB
Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not
become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB
fails.

NEW QUESTION: 3
CORRECT TEXT
Fill in the blank with the appropriate object name.
When applying transformations and other types of changes to layers, you can make those changes nondestructive by converting layers to ________________________ .
Answer:
Explanation:
Smart
Explanation:
Object When applying transformations and other types of changes to layers, you can make those changes nondestructive by converting layers to Smart Objects. A Smart Object is an object that acts as a layer but stores the original image data of one or more layers. Smart Objects allow you to transform an image to smaller sizes and then back to the original size with no loss in quality.