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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
You have five servers that run Microsoft Windows 2012 R2. Each server hosts a Microsoft SQL Server instance. The topology for the environment is shown in the following diagram.

You have an Always On Availability group named AG1. The details for AG1 are shown in the following table.

Instance1 experiences heavy read-write traffic. The instance hosts a database named OperationsMain that is four terabytes (TB) in size. The database has multiple data files and filegroups. One of the filegroups is read_only and is half of the total database size.
Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O.
Instance5 hosts a database named StagedExternal. A nightly BULK INSERT process loads data into an empty table that has a rowstore clustered index and two nonclustered rowstore indexes.
You must minimize the growth of the StagedExternal database log file during the BULK INSERT operations and perform point-in-time recovery after the BULK INSERT transaction. Changes made must not interrupt the log backup chain.
You plan to add a new instance named Instance6 to a datacenter that is geographically distant from Site1 and Site2. You must minimize latency between the nodes in AG1.
All databases use the full recovery model. All backups are written to the network location \\SQLBackup\. A separate process copies backups to an offsite location. You should minimize both the time required to restore the databases and the space required to store backups. The recovery point objective (RPO) for each instance is shown in the following table.

Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the keyword COMPRESSION.
You plan to deploy the following solutions to the environment. The solutions will access a database named DB1 that is part of AG1.
Reporting system: This solution accesses data inDB1with a login that is mapped to a database user

that is a member of the db_datareader role. The user has EXECUTE permissions on the database.
Queries make no changes to the data. The queries must be load balanced over variable read-only replicas.
Operations system: This solution accesses data inDB1with a login that is mapped to a database user

that is a member of the db_datareader and db_datawriter roles. The user has EXECUTE permissions on the database. Queries from the operations system will perform both DDL and DML operations.
The wait statistics monitoring requirements for the instances are described in the following table.

End of repeated scenario.
You need to create a backup plan for Instance4.
Which backup plan should you create?
A. Weekly full backups, nightly differential backups, transaction log backups every 12 hours.
B. Full backups every 60 minutes, transaction log backups every 30 minutes.
C. Weekly full backups, nightly differential. No transaction log backups are necessary.
D. Weekly full backups, nightly differential backups, transaction log backups every 30 minutes.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Scenario: Instance4 is engaged in heavy read-write I/O. The Recovery Point Objective of Instance4 is 60 minutes.

NEW QUESTION: 2
ネットワーク管理者は、最近、ネットワークデバイスやクライアントのIPアドレス割り当てを追跡するのが困難でした。このシナリオで役立つ最高の技術はどれですか？
A. IPAM
B. DHCP
C. NTP
D. DNS
Answer: A

NEW QUESTION: 3
Which two are required elements for the <web-resource-collection> element of a web application deployment descriptor? (Choose two.)
A. <web-resource-name>
B. <url-pattern>
C. <realm-name>
D. <transport-guarantee>
E. <description>
Answer: A,B

NEW QUESTION: 4
수천 명의 직원이 있는 글로벌 기업을 위한 개인 문서 보관 솔루션을 설계하고 있습니다. 각 직원은 이 아카이빙 솔루션에 잠재적으로 기가 바이트의 데이터를 백업 할 수 있습니다. 이 솔루션은 직원에게 응용 프로그램으로 노출되어 파일을 보관 시스템으로 끌어서 놓기 만하면 됩니다. 직원은 웹 인터페이스를 통해 아카이브를 검색 할 수 있습니다. 회사 네트워크에는 AWS에 대한 고 대역폭 AWS Direct Connect 연결이 있습니다.
클라우드에 업로드하기 전에 모든 데이터를 암호화해야 한다는 규제 요건이 있습니다.
고 가용성 및 비용 효율적인 방법으로 이를 어떻게 구현합니까?
A. KMS (Amazon Key Management Service)에서 암호화 키를 관리하고, KMS 고객 마스터 키 ID를 사용하여 클라이언트 측 암호화로 Amazon Simple Storage Service (S3)에 업로드하고, Amazon S3 수명주기 정책을 구성하여 Amazon Glacier 스토리지 계층.
B. AWS CloudHSM 어플라이언스에서 암호화 키를 관리합니다. 직원 데스크톱에 업로드하기 전에 파일을 암호화 한 다음 Amazon Glacier에 직접 업로드하십시오.
C. 온 프레미스 HSM (Hardware Security Module) 어플라이언스의 암호화 키 관리는 파일을 Amazon Glacier에 직접 임시 저장, 암호화 및 업로드 할 수있는 충분한 스토리지를 제공합니다.
D. 암호화 된 관계형 데이터베이스에서 온-프레미스 암호화 키를 관리합니다. 파일을 임시 저장하기에 충분한 스토리지가있는 온 프레미스 서버를 설정 한 다음 클라이언트 측 마스터 키를 제공하여 Amazon S3에 업로드하십시오.
Answer: A