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NEW QUESTION: 1
Your department creates regular analytics reports from your company's log files All log data is collected in Amazon S3 and processed by daily Amazon Elastic MapReduce (EMR) jobs that generate daily PDF reports and aggregated tables in CSV format for an Amazon Redshift data warehouse.
Your CFO requests that you optimize the cost structure for this system.
Which of the following alternatives will lower costs without compromising average performance of the system or data integrity for the raw data?
A. Use reduced redundancy storage (RRS) for PDF and .csv data In Amazon S3. Add Spot Instances to Amazon EMR jobs. Use Reserved Instances for Amazon Redshift.
B. Use reduced redundancy storage (RRS) for all data in Amazon S3. Add Spot Instances to Amazon EMR jobs. Use Reserved Instances for Amazon Redshift.
C. Use reduced redundancy storage (RRS) for all data In S3. Use a combination of Spot Instances and Reserved Instances for Amazon EMR jobs. Use Reserved Instances for Amazon Redshift.
D. Use reduced redundancy storage (RRS) for PDF and .csv data in S3. Add Spot Instances to EMR jobs.
Use Spot Instances for Amazon Redshift.
Answer: A
Explanation:
Explanation
Using Reduced Redundancy Storage Amazon S3 stores objects according to their storage class. It assigns the storage class to an object when it is written to Amazon S3. You can assign objects a specific storage class (standard or reduced redundancy) only when you write the objects to an Amazon S3 bucket or when you copy objects that are already stored in Amazon S3. Standard is the default storage class. For information about storage classes, see Object Key and Metadata.
In order to reduce storage costs, you can use reduced redundancy storage for noncritical, reproducible data at lower levels of redundancy than Amazon S3 provides with standard storage. The lower level of redundancy results in less durability and availability, but in many cases, the lower costs can make reduced redundancy storage an acceptable storage solution. For example, it can be a cost-effective solution for sharing media content that is durably stored elsewhere. It can also make sense if you are storing thumbnails and other resized images that can be easily reproduced from an original image.
Reduced redundancy storage is designed to provide 99.99% durability of objects over a given year. This durability level corresponds to an average annual expected loss of 0.01% of objects. For example, if you store
10,000 objects using the RRS option, you can, on average, expect to incur an annual loss of a single object per year (0.01% of 10,000 objects).
Note:
This annual loss represents an expected average and does not guarantee the loss of less than 0.01% of objects in a given year.
Reduced redundancy storage stores objects on multiple devices across multiple facilities, providing 400 times the durability of a typical disk drive, but it does not replicate objects as many times as Amazon S3 standard storage. In addition, reduced redundancy storage is designed to sustain the loss of data in a single facility.
If an object in reduced redundancy storage has been lost, Amazon S3 will return a 405 error on requests made to that object. Amazon S3 also offers notifications for reduced redundancy storage object loss: you can configure your bucket so that when Amazon S3 detects the loss of an RRS object, a notification will be sent through Amazon Simple Notification Service (Amazon SNS). You can then replace the lost object. To enable notifications, you can use the Amazon S3 console to set the Notifications property of your bucket.

NEW QUESTION: 2
TCP 属于 OSI 参考模型的 ______ 。
A. 会话层
B. 传输层
C. 表示层
D. 网络层
Answer: B

NEW QUESTION: 3
What is a good way for an operator or analyst to quickly determine which events must be addressed first?
A. check the priority rating in a Dashboard or Active Channel
B. run a report of High Priority Threats
C. ask more senior analysts or architects
D. view the Event Grid and Correlation categories
Answer: A

NEW QUESTION: 4
솔루션 아키텍트는 99.99 % 가용성이 필요한 AWS에서 웹 애플리케이션을 설계하고 있습니다. 애플리케이션은 최대 트래픽이 발생할 때 분당 300.000 개의 웹 요청을 지원하는 3 계층 아키텍처로 구성됩니다. 애플리케이션은 DNS 확인을 위해 Amazon Route 53을 사용합니다. 콘텐츠 전송 네트워크 (CDN)로서의 Amazon CloudFront, Elastic Load Balancer 원거리로드 밸런싱. Amazon EC2 Auto Scaling 그룹은 애플리케이션 계층을 확장하고 Amazon Aurora MySQL을 백엔드 데이터베이스로 확장합니다. 백엔드 데이터베이스로드는 평균 90 % 읽기 및 10 % 쓰기입니다. 이 회사는 비용 효율적인 솔루션을 구축하려고 하지만 안정성이 중요합니다.
솔루션 아키텍트는 어떤 전략을 사용해야 합니까?
A. 단일 AWS 리전에서 애플리케이션을 구축합니다. 요청 지표를 기반으로 동적 조정이있는 Auto Scaling 그룹을 사용하여 EC2 애플리케이션 계층을 3 개의 가용성 영역에 배포합니다. Aurora 복제본 2 개와 함께 다중 AZ Amazon Aurora MySQL DB 더 스터를 사용합니다. 각 Aurora 복제본에는 최대 읽기 쿼리의 50 %를 지원할 수있는 충분한 용량이 있어야합니다.
B. 두 개의 AWS 리전에 애플리케이션 구축 각 리전의 요청 지표를 기반으로 동적 조정이있는 Auto Scaling 그룹을 사용하여 EC2 애플리케이션 계층을 두 개의 가용 영역에 배포합니다. 두 번째 리전에서 Amazon Aurora MySQL 교차 리전 복제본을 배포합니다. Amazon Route 53을 사용하여 리전간에 트래픽을 분산하고 리전을 사용할 수 없는 경우 장애 조치를 구성합니다.
C. 단일 AWS 리전에서 애플리케이션을 구축합니다. 분당 300.000 개의 요청을 처리하기에 충분한 최소 용량이 있는 Auto Scaling 그룹을 사용하여 EC2 애플리케이션 계층을 두 개의 가용 영역에 배포합니다. Aurora 복제본이 하나 있는 다중 AZ Amazon Aurora MySQL DB 클러스터를 사용합니다.
Aurora 복제본에는 최대 읽기 및 쓰기 쿼리의 50 %를 지원할 수 있는 충분한 용량이 있어야 합니다.
D. 단일 AWS 리전에서 애플리케이션을 구축합니다. 분당 450.000 개의 요청을 처리하기에 충분한 최소 용량이있는 Auto Scaling 그룹을 사용하여 EC2 애플리케이션 계층을 3 개의 가용 영역에 배포합니다. Aurora 복제본 2 개와 함께 다중 AZ Amazon Aurora MySQL DB 더 스터를 사용합니다.
각 Aurora 복제본에는 최대 읽기 쿼리를 100 % 지원할 수 있는 충분한 용량이 있어야 합니다.
Answer: A