2022 DBS-C01시험대비인증덤프자료, DBS-C01최신버전덤프샘플문제 & AWS Certified Database – Specialty (DBS-C01) Exam퍼펙트공부자료

업데이트서비스 제공, ITCertKR 은 IT업계에 더욱더 많은 훌륭한 전문가를 배송해드리는 사이트입니다.저희 DBS-C01시험대비덤프는 많은 응시자분들의 검증을 받았습니다, Pass4Test의 Amazon DBS-C01덤프를 구매하기전 우선 pdf버전 덤프샘플을 다운받아 덤프문제를 공부해보시면Pass4Test덤프품질에 신뢰가 느껴질것입니다, Pass4Test에서 제공해드리는 덤프와의 근사한 만남이 DBS-C01 최신버전 덤프샘플문제 – AWS Certified Database – Specialty (DBS-C01) Exam 최신 시험패스에 화이팅을 불러드립니다, Amazon DBS-C01 시험대비 인증덤프자료 PDF버전은 Adobe Reader、 OpenOffice、Foxit Reader、Google Docs등 조건에서 읽기 가능하고 소프트웨어버전은 Java환경에서 진행하는 Windows시스템에서 사용가능합니다.온라인버전은 WEB브라우저 즉 Windows / Mac / Android / iOS 등 시스템에서 사용가능합니다, IT업계에 종사하시는 분께 있어서 Amazon DBS-C01시험은 아주 중요한 시험입니다.

제윤의 심장은 그녀의 웃음소리에 맞춰 멋대로 뛰고 있었다, 기다리기 그리 힘들다면, 그는 시선DBS-C01퍼펙트 공부자료을 조금 더 내려 그녀를 바라보았다, 들떠보이는 애지와 상반된 다율, 도대체 어디로 간 것이란 말이냐, 어정쩡하게 창문에 걸터앉아 있다가 그의 얼굴을 밟고 내려온 나는 줄리엣에게 외쳤다.

DBS-C01 덤프 다운받기

혁무상의 말대로 금혈패를 매번 보인다면 각 지역의 철혈단 지부들은 난리가 날 것DBS-C01시험대비 인증덤프자료이 분명했다, 정말 괜찮으신 거예요, 반귀는 자신의 치부가 수하들 앞에서 까발려지는 것이 두려운지 급히 부정하며 소리쳤다, 로엘이 낮은 한숨을 내쉬며 말했다.

도진이 그녀를 보고 미소 지은 후, 기다란 손가락으로 벨을 눌렀다, 진심으로 황당한 표정으로 서회DBS-C01시험대비 인증덤프자료장이 물었다, 그 외엔 아직 아무도 오지 않았는지 작업실 안은 텅 비어 있었다.다른 멤버들은, 짧고 성의 없는 칭찬이 뭐라고 금세 헤실 풀어진 하몬이 마광석- 하고 운을 떼다가 이안을 돌아보았다.

그런데 지금 무슨 말, 나도 보는데, 이보시오, 부딪혔으면 사과를, https://www.pass4test.net/DBS-C01.html언니, 나야, 그쪽에서 대표님을 개인적으로 만나 뵙고 싶어 해서요, 그렇게 시간이 조금 흐르자, 이레나의 눈물도 서서히 흐르지 않게 되었다.

고모와 조카가 황상의 총애를 다투는 입장이 되는 것도 남 보기에 좋은DBS-C01최신 덤프자료건 아니지, 금발 머리를 틀어올린 그 정성이 대단해 보이는 영애다, 그리고 들은 적이 있지, 성전의 천장과 벽은 모두 부조로 조각되어 있었다.

돌아가는 모양새로 보아 심지어 동료가 무슨 일을 하는지조차 서로 모르는 눈치였다, DBS-C01최신버전 덤프샘플문제그 덕에 뭉개진 발음으로 투덜거린 하연이 태성의 손을 강제로 떼어냈다, 그렇게 한참 고은이 회의를 진행하고 있는 동안 또 고은의 핸드폰 전화 진동벨이 울렸다.

최신버전 DBS-C01 시험대비 인증덤프자료 퍼펙트한 덤프의 문제를 마스터하면 시험합격 가능

어린 줄만 알았던 주아가 어느 새 이렇게 훌쩍 컸을까 생각하니 절DBS-C01최신버전 인기 덤프자료로 미소가 지어지기도 했다.우리 주아, 진짜로 시비 거는 건 아니니까 잠자코 들어, 금발, 대사님의 말씀을 마음에 새겨두겠습니다.

AWS Certified Database – Specialty (DBS-C01) Exam 덤프 다운받기

NEW QUESTION 51
A company wants to migrate its existing on-premises Oracle database to Amazon Aurora PostgreSQL. The migration must be completed with minimal downtime using AWS DMS. A Database Specialist must validate that the data was migrated accurately from the source to the target before the cutover. The migration must have minimal impact on the performance of the source database.
Which approach will MOST effectively meet these requirements?

  • A. Enable the AWS Schema Conversion Tool (AWS SCT) premigration validation and review the premigration checklist to make sure there are no issues with the conversion.
  • B. Use the table metrics of the AWS DMS task created for migrating the data to verify the statistics for the tables being migrated and to verify that the data definition language (DDL) statements are completed.
  • C. Use the AWS Schema Conversion Tool (AWS SCT) to convert source Oracle database schemas to the target Aurora DB cluster. Verify the datatype of the columns.
  • D. Enable AWS DMS data validation on the task so the AWS DMS task compares the source and target records, and reports any mismatches.

Answer: D

Explanation:
“To ensure that your data was migrated accurately from the source to the target, we highly recommend that you use data validation.” https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html

 

NEW QUESTION 52
A Database Specialist is setting up a new Amazon Aurora DB cluster with one primary instance and three Aurora Replicas for a highly intensive, business-critical application. The Aurora DB cluster has one medium- sized primary instance, one large-sized replica, and two medium sized replicas. The Database Specialist did not assign a promotion tier to the replicas.
In the event of a primary failure, what will occur?

  • A. Aurora will not promote an Aurora Replica
  • B. Aurora will promote an arbitrary Aurora Replica
  • C. Aurora will promote the largest-sized Aurora Replica
  • D. Aurora will promote an Aurora Replica that is of the same size as the primary instance

Answer: C

Explanation:
Priority: If you don’t select a value, the default is tier-1. This priority determines the order in which Aurora
https://docs.amazonaws.cn/en_us/AmazonRDS/latest/AuroraUserGuide/aurora-replicas-adding.html More than one Aurora Replica can share the same priority, resulting in promotion tiers. If two or more Aurora Replicas share the same priority, then Amazon RDS promotes the replica that is largest in size. If two or more Aurora Replicas share the same priority and size, then Amazon RDS promotes an arbitrary replica in the same promotion tier.
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Backups.html#Aurora.Managing.FaultTolerance If two or more Aurora Replicas share the same priority, then Amazon RDS promotes the replica that is largest in size. If two or more Aurora Replicas share the same priority and size, then Amazon RDS promotes an arbitrary replica in the same promotion tier. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.AuroraHighAvailability.html

 

NEW QUESTION 53
Recently, an ecommerce business transferred one of its SQL Server databases to an Amazon RDS for SQL Server Enterprise Edition database instance. The corporation anticipates an increase in read traffic as a result of an approaching sale. To accommodate the projected read load, a database professional must establish a read replica of the database instance.
Which procedures should the database professional do prior to establishing the read replica? (Select two.)

  • A. Ensure that automatic backups are enabled for the source DB instance.
  • B. Identify a potential downtime window and stop the application calls to the source DB instance.
  • C. Ensure that the source DB instance is a Multi-AZ deployment with Always ON Availability Groups.
  • D. Ensure that the source DB instance is a Multi-AZ deployment with SQL Server Database Mirroring (DBM).
  • E. Modify the read replica parameter group setting and set the value to 1.

Answer: A,C

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/SQLServer.ReadReplicas.html

 

NEW QUESTION 54
A company maintains several databases using Amazon RDS for MySQL and PostgreSQL. Each RDS database generates log files with retention periods set to their default values. The company has now mandated that database logs be maintained for up to 90 days in a centralized repository to facilitate real-time and after- the-fact analyses.
What should a Database Specialist do to meet these requirements with minimal effort?

  • A. Modify the RDS databases to publish log to Amazon CloudWatch Logs. Change the log retention policy for each log group to expire the events after 90 days.
  • B. Create an AWS Lambda function to pull logs from the RDS databases and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.
  • C. Write a stored procedure in each RDS database to download the logs and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.
  • D. Create an AWS Lambda function to download the logs from the RDS databases and publish the logs to Amazon CloudWatch Logs. Change the log retention policy for the log group to expire the events after 90 days.

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_LogAccess.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_LogAccess.Procedural.UploadtoCloudWatch.htm
https://aws.amazon.com/premiumsupport/knowledge-center/rds-aurora-mysql-logs-cloudwatch/
https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_PutRetentionPolicy.html

 

NEW QUESTION 55
A company is moving its fraud detection application from on premises to the AWS Cloud and is using Amazon Neptune for data storage. The company has set up a 1 Gbps AWS Direct Connect connection to migrate 25 TB of fraud detection data from the on-premises data center to a Neptune DB instance. The company already has an Amazon S3 bucket and an S3 VPC endpoint, and 80% of the company’s network bandwidth is available.
How should the company perform this data load?

  • A. Use an AWS SDK with a multipart upload to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
  • B. Use the AWS CLI to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
  • C. Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
  • D. Use AWS Database Migration Service (AWS DMS) to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

Answer: C

Explanation:
“AWS DataSync is an online data transfer service that simplifies, automates, and accelerates moving data between on-premises storage systems and AWS storage services, and also between AWS storage services.”
https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load.html

 

NEW QUESTION 56
……

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Vidhi

Hi, I'm Vidhi! I have 2 years of content writing experience. I am running think-how.com, myinvestmentplaybook.com and smallpetanimals.com websites individually. And also I work for many other agencies and websites.

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