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NEW QUESTION: 1
During a Storage Center dual-controller upgrade from SC030 to SC8000, the onsite engineer fails to
reload the configuration to flash on a controller.
What is the result?
A. unavailable data
B. fibre switch segmentation
C. controller comes up as 'new system'
D. engineer must manage new disks
Answer: C
NEW QUESTION: 2
회사는 Amazon S3 버킷 내에서 정적 웹 사이트를 호스팅합니다. 솔루션 아키텍트는 실수로 삭제한 경우 데이터를 복구 할 수 있는지 확인해야 합니다.
이 작업을 수행하는 작업은 무엇입니까?
A. Amazon S3 교차 리전 복제를 활성화합니다.
B. Amazon S3 버전 관리 활성화
C. Amazon S3 Intelligent-Tiering을 활성화합니다.
D. Amazon S3 수명주기 정책 활성화
Answer: B
Explanation:
Explanation
Data can be recover if versioning enable, also it provide a extra protection like file delete,MFA delete. MFA Delete only works for CLI or API interaction, not in the AWS Management Console. Also, you cannot make version DELETE actions with MFA using IAM user credentials. You must use your root AWS account.
https://aws.amazon.com/blogs/security/securing-access-to-aws-using-mfa-part-3/ Object Versioning Use Amazon S3 Versioning to keep multiple versions of an object in one bucket. For example, you could store my-image.jpg (version 111111) and my-image.jpg (version 222222) in a single bucket. S3 Versioning protects you from the consequences of unintended overwrites and deletions. You can also use it to archive objects so that you have access to previous versions.
You must explicitly enable S3 Versioning on your bucket. By default, S3 Versioning is disabled. Regardless of whether you have enabled Versioning, each object in your bucket has a version ID. If you have not enabled Versioning, Amazon S3 sets the value of the version ID to null. If S3 Versioning is enabled, Amazon S3 assigns a version ID value for the object. This value distinguishes it from other versions of the same key.
https://docs.aws.amazon.com/AmazonS3/latest/dev/ObjectVersioning.html
NEW QUESTION: 3
A manufacturing company wants to implement predictive maintenance on its machinery equipment The company will install thousands of loT sensors that will send data to AWS in real time A solutions architect is tasked with implementing a solution that will receive events in an ordered manner for each machinery asset and ensure that data is saved for further processing at a later time Which solution would be MOST efficient?
A. Use Amazon Kinesis Data Streams for real-time events with a partition for each equipment asset Use Amazon Kinesis Data Firehose to save data to Amazon S3
B. Use an Amazon SQS FIFO queue for real-time events with one queue for each equipment asset Trigger an AWS Lambda function for the SQS queue to save data to Amazon EFS
C. Use an Amazon SQS standard queue for real-time events with one queue for each equipment asset Trigger an AWS Lambda function from the SQS queue to save data to Amazon S3
D. Use Amazon Kinesis Data Streams for real-time events with a shard for each equipment asset Use Amazon Kinesis Data Firehose to save data to Amazon EBS
Answer: B
Explanation:
Amazon SQS Introduces FIFO Queues with Exactly-Once Processing and Lower Prices for Standard Queues You can now use Amazon Simple Queue Service (SQS) for applications that require messages to be processed in a strict sequence and exactly once using First-in, First-out (FIFO) queues. FIFO queues are designed to ensure that the order in which messages are sent and received is strictly preserved and that each message is processed exactly once.
Amazon SQS is a reliable and highly-scalable managed message queue service for storing messages in transit between application components. FIFO queues complement the existing Amazon SQS standard queues, which offer high throughput, best-effort ordering, and at-least-once delivery. FIFO queues have essentially the same features as standard queues, but provide the added benefits of supporting ordering and exactly-once processing. FIFO queues provide additional features that help prevent unintentional duplicates from being sent by message producers or from being received by message consumers. Additionally, message groups allow multiple separate ordered message streams within the same queue.
https://aws.amazon.com/about-aws/whats-new/2016/11/amazon-sqs-introduces-fifo-queues-with-exactly-once-processing-and-lower-prices-for-standard-queues/
