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NEW QUESTION: 1
Your customer has seasonal demand and wants to generate forecast for next six months. You ran a demand plan for first time using six months of shipments history but Lire forecast accuracy was low.
Identify two statements that are true in this scenario.
A. Running a demand plan villi less than one year of history will impact seasonal analysis.
B. Running a demand plan with both shipments and seasonal shipments forecast profile is required to forecast seasonal demand.
C. Running a demand plan with 18 to 36 months of shipments history Is recommended.
D. Running a demand plan with both shipments and hooking forecast profile is required to forecast Seasonal demand.
E. Running a demand plan with six months of booking history instead of six months of shipment history Is required for seasonal demand.
Answer: B,E
NEW QUESTION: 2
A. Option D
B. Option A
C. Option C
D. Option B
Answer: B
NEW QUESTION: 3
비디오 게임 추천을 위한 회사의 서비스가 이제 막 입소문을 일으켰습니다.이 회사는 전 세계에서 온 신규 사용자를 보유하고 있습니다. 서비스 웹 사이트는 Application Load Balancer (ALB) 뒤에 있는 Auto Scaling 그룹의 Amazon EC2 인스턴스 세트에서 호스팅됩니다. 웹 사이트는 장치 유형에 따라 로드되는 리소스가 다른 정적 콘텐츠로 구성됩니다.
사용자는 최근 웹 사이트의 로드 시간이 증가했다고 보고했습니다. 관리자가 서비스를 호스팅하는 EC2 인스턴스에서 높은 로드를 보고하고 있습니다.
솔루션 아키텍트는 응답 시간을 개선하기 위해 어떤 조치를 취해야 합니까?
A. 각 장치 유형에 대해 별도의 ALB를 만듭니다. 각 ALB 뒤에 하나의 Auto Scaling 그룹 생성 Amazon Route 53을 사용하여 User-Agent HTTP 헤더에 따라 다른 ALB로 라우팅
B. Amazon S3로 콘텐츠 이동 Amazon CloudFront 배포를 생성하여 S3 버킷 외부로 콘텐츠 제공 User-Agent HTTP 헤더를 사용하여 다른 콘텐츠로드
C. 디바이스 유형에 따라 별도의 Auto Scaling 그룹 생성 NLB (Network Load Balancer)로 전환 NLB의 User-Agent HTTP 헤더를 사용하여 다른 EC2 인스턴스 세트로 라우팅합니다.
D. Amazon S3로 콘텐츠 이동 Amazon CloudFront 배포를 생성하여 S3 버킷에서 콘텐츠 제공 Lambda @ Edge를 사용하여 User-Agent HTTP 헤더를 기반으로 다양한 리소스로드
Answer: B
NEW QUESTION: 4
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.
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.
You need to propose a new process for the StagedExternal database.
Which five actions should you recommended be performed in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
From scenario: 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 StagedExternaldatabase 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.
All databases use the full recovery model.
References: https://technet.microsoft.com/en-us/library/ms190421(v=sql.105).aspx