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NEW QUESTION: 1

A. Option B
B. Option A
C. Option D
D. Option C
Answer: C

NEW QUESTION: 2
A company operating a website on AWS requires high levels of scalability, availability and performance. The company is running a Ruby on Rails application on Amazon EC2. It has a data tier on MySQL 5.6 on Amazon EC2 using 16 TB of Amazon EBS storage Amazon CloudFront is used to cache application content. The Operations team is reporting continuous and unexpected growth of EBS volumes assigned to the MySQL database. The Solutions Architect has been asked to design a highly scalable, highly available, and high-performing solution.
Which solution is the MOST cost-effective at scale?
A. Ensure that EC2 instances are right-sized and behind an Elastic Load Balancing load balancer.
Implement Auto Scaling with EC2 instances. Ensure that the reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Ensure that Multi-AZ architectures are implemented.
B. Ensure that EC2 instances are right-sized and behind an Elastic Load Balancer. Implement Auto Scaling with EC2 instances. Ensure that Reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster.
Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow Aurora MySQL storage, as necessary. Ensure Multi-AZ architectures are implemented.
C. Implement Multi-AZ and Auto Scaling for all EC2 instances in the current configuration. Ensure that all EC2 instances are purchased as reserved instances. Implement new elastic Amazon EBS volumes for the data tier.
D. Design and implement the Docker-based containerized solution for the application using Amazon ECS.
Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow the Aurora MySQL storage, as necessary.
Ensure that Multi-AZ architectures are implemented.
Answer: A
Explanation:
A: Not scalable.
B\D: Aurora will auto grow and does not need Lambda.
The minimum storage is 10GB. Based on your database usage, your Amazon Aurora storage will automatically grow, up to 64 TB, in 10GB increments with no impact to database performance.
There is no need to provision storage in advance.

NEW QUESTION: 3
企業が爆発的な量のデータに対処するための1つの生産的な方法は何ですか？
A. インテリジェントストレージを使用して、ビジネスが収集するデータの量を減らします。
B. AIを使用してデータを分析し、そこから値を抽出します
C. 最新のデータに集中できるように、最も古いデータを削除します。
D. 規制当局の監査に必要になるまで、データをフラッシュにアーカイブします。
Answer: B