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NEW QUESTION: 1
After conducting a disaster recovery exercise, an Enterprise Architect discovers that a large team of Database and Storage Administrators need more then seven hours of manual effort to make a flagship application's database functional in a different AWS Region. The Architect also discovers that the recovered database is often missing as much as two hours of data transactions.
Which solution provides improved RTO and RPO in a cross-region failover scenario?
A. Create a scheduled Amazon CloudWatch Events rule to make a call to Amazon RDS to create a snapshot from a database instance and specify a frequency to match the RPO. Create an AWS Step Functions task to call Amazon RDS to perform a cross-region snapshot copy into the failover region, and configure the state machine to execute the task when the RDS snapshot create state is complete.
Create an SNS topic subscribed to RDS availability events, and push these messages to an Amazon SQS queue located in the failover region. Configure an Auto Scaling group of worker nodes to poll the queue for new messages and make a call to Amazon RDS to restore a database from a snapshot after a checksum on the cross-region copied snapshot returns valid.
B. Deploy an Amazon RDS Multi-AZ instance backed by a multi-region Amazon EFS. Configure the RDS option group to enable multi-region availability for native automation of cross-region recovery and continuous data replication. Create an Amazon SNS topic subscribed to RDS-impacted events to send emails to the Database Administration team when significant query Latency is detected in a single Availability Zone.
C. Use Amazon SNS topics to receive published messages from Amazon RDS availability and backup events. Use AWS Lambda for three separate functions with calls to Amazon RDS to snapshot a database instance, create a cross-region snapshot copy, and restore an instance from a snapshot. Use a scheduled Amazon CloudWatch Events rule at a frequency matching the RPO to trigger the Lambda function to snapshot a database instance. Trigger the Lambda function to create a cross-region snapshot copy when the SNS topic for backup events receives a new message. Configure the Lambda function to restore an instance from a snapshot to trigger sending new messages published to the availability SNS topic.
D. Use Amazon RDS scheduled instance lifecycle events to create a snapshot and specify a frequency to match the RPO. Use Amazon RDS scheduled instance lifecycle event configuration to perform a cross-region snapshot copy into the failover region upon SnapshotCreateComplete events. Configure Amazon CloudWatch to alert when the CloudWatch RDS namespace CPUUtilization metric for the database instance falls to 0% and make a call to Amazon RDS to restore the database snapshot in the failover region.
Answer: C
NEW QUESTION: 2
You have an Azure event hub named retailhub that has 16 partitions. Transactions are posted to retailhub. Each transaction includes the transaction ID, the individual line items, and the payment details. The transaction ID is used as the partition key.
You are designing an Azure Stream Analytics job to identify potentially fraudulent transactions at a retail store. The job will use retailhub as the input. The job will output the transaction ID, the individual line items, the payment details, a fraud score, and a fraud indicator.
You plan to send the output to an Azure event hub named fraudhub.
You need to ensure that the fraud detection solution is highly scalable and processes transactions as quickly as possible.
How should you structure the output of the Stream Analytics job? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features#partitions
NEW QUESTION: 3
회사에는 사용자가 짧은 비디오를 업로드 할 수 있는 웹 응용 프로그램이 있습니다. 비디오는 Amazon EBS 볼륨에 저장되고 분류를 위해 사용자 지정 인식 소프트웨어로 분석됩니다.
이 웹 사이트에는 특정 달에 트래픽이 많은 정적 인 콘텐츠가 포함되어 있습니다. 아키텍처는 웹 애플리케이션의 Auto Scaling 그룹에서 실행되는 Amazon EC2 인스턴스와 Amazon SQS 대기열을 처리하기 위해 Auto Scaling 그룹에서 실행되는 EC2 인스턴스로 구성됩니다. 이 회사는 가능한 경우 AWS 관리 서비스를 사용하여 운영 오버 헤드를 줄이고 타사 소프트웨어에 대한 종속성을 제거하기 위해 애플리케이션을 다시 설계하려고 합니다.
어떤 솔루션이 이러한 요구 사항을 충족합니까?
A. Amazon S3에서 웹 애플리케이션을 호스팅합니다. 업로드 된 비디오를 Amazon S3에 저장하십시오. S3 이벤트 알림을 사용하여 이벤트를 SQS 대기열에 게시하십시오. Amazon Rekognition API를 호출하여 비디오를 분류하는 AWS Lambda 함수로 SQS 대기열을 처리하십시오.
B. 업로드 된 비디오를 Amazon EFS에 저장하고 파일 시스템을 웹 애플리케이션의 EC2 인스턴스에 마운트합니다. Amazon Rekognition API를 호출하여 비디오를 분류하는 AWS 람다 함수로 SQS 대기열을 처리합니다.
C. 웹 애플리케이션에는 Amazon ECS 컨테이너를 사용하고 SQS 대기열을 처리하는 스케일링 그룹에는 스팟 인스턴스를 사용하십시오. 비디오를 분류하려면 사용자 지정 소프트웨어를 Amazon Rekognition으로 교체하십시오.
D. AWS Elastic Beanstalk를 사용하여 애플리케이션의 Auto Scaling 그룹에서 EC2 인스턴스를 시작하고 작업자 환경을 시작하여 SQS 대기열을 처리하십시오. 비디오를 분류하려면 사용자 지정 소프트웨어를 Amazon Rekognition으로 교체하십시오.
Answer: C
NEW QUESTION: 4
You need to identify the reasons that data alert notifications are not being sent.
Which of the following reasons are possible? (Each correct answer presents a complete solution.
Choose al that apply.)
A. The data source used by the report is disabled.
B. The shared schedule is paused.
C. The SSRS service is not running.
D. The SSRS encryption key has been deleted.
E. The report data has not changed since the previous notification
F. The SQL Server Agent is not running.
Answer: C,F
Explanation:
Explanation/Reference:
One possibility is that no SQL Server Agent alerts have been configured. This is a free, easy way to get notified of corruption, job failures, or major outages even before monitoring systems pick it up.
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