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NEW QUESTION: 1
회사는 현재 Amazon EBS 및 Amazon RDS를 저장 용도로 사용합니다. 이 회사는 다른 AWS 지역에서 재난 복구를 위해 파일럿 라이트 방식을 사용할 계획입니다. 이 회사는 6 시간의 RTO와 24 시간의 RPO를 보유하고 있습니다.
어떤 솔루션이 MINIMAL 비용으로 요구 사항을 달성 할 수 있습니까?
A. AWS 람다를 사용하여 매일 EBS 및 RDS 스냅 샷을 생성하고 재해 복구 영역에 복사합니다. 활성 - 활성 장애 조치 구성과 함께 Amazon Route 53을 사용하십시오. 기본 영역에서와 같은 방식으로 구성된 Auto Scaling 그룹에서 Amazon EC2를 사용하십시오.
B. EBS 및 RDS 교차 영역 스냅 샷 복사 기능을 사용하여 재해 복구 영역에 스냅 샷을 생성합니다. 활성 - 활성 장애 조치 구성과 함께 Amazon Route 53을 사용하십시오. 재해 복구 영역에서 용량을 0으로 설정 한 자동 확장 그룹에서 Amazon EC2를 사용하십시오.
C. Amazon ECS를 사용하여 장기간 실행되는 작업을 처리하여 매일 EBS 및 RDS 스냅 샷을 만들고 재해 복구 영역에 복사하십시오. 액티브 - 패시브 페일 오버 구성과 함께 Amazon Route 53을 사용하십시오. 재해 복구 영역에서 용량을 0으로 설정 한 자동 확장 그룹에서 Amazon EC2를 사용하십시오.
D. AWS Lambda를 사용하여 매일 EBS 및 RDS 스냅 샷을 생성하고 재해 복구 영역에 복사하십시오. 액티브 - 패시브 페일 오버 구성과 함께 Amazon Route 53을 사용하십시오. 재해 복구 영역에서 용량을 0으로 설정 한 자동 확장 그룹에서 Amazon EC2를 사용하십시오.
Answer: B

NEW QUESTION: 2
Which packet is sent by the DHCF've client in response to the Advertise packet sent by the DHCPv6 sewer?
A. Offer
B. Request
C. Reply
D. Advertise
Answer: B

NEW QUESTION: 3
同じパイプライン内の異なるアクティビティに対して複数のAWS Data Pipelineスケジュールを定義するタスクが与えられました。
次のどれがこのタスクを正常に完了しますか？
A. パイプライン定義ファイルで複数のスケジュールオブジェクトを定義し、scheduleフィールドを介して目的のスケジュールを正しいアクティビティに関連付けます
B. スケジュールフィールドでの複数のスケジュールオブジェクトの定義
C. 複数のパイプライン定義ファイルの作成
D. スケジュールオブジェクトファイルで複数のパイプライン定義を定義し、そのスケジュールフィールドを介して目的のスケジュールを正しいアクティビティに関連付ける
Answer: A
Explanation:
To define multiple schedules for different activities in the same pipeline, in AWS Data Pipeline, you should define multiple schedule objects in your pipeline definition file and associate the desired schedule to the correct activity via its schedule field. As an example of this, it could allow you to define a pipeline in which log files are stored in Amazon S3 each hour to drive generation of an aggregate report once a day.
https://aws.amazon.com/datapipeline/faqs/

NEW QUESTION: 4
Overview
General Overview
ADatum Corporation has offices in Miami and Montreal.
The network contains a single Active Directory forest named adatum.com. The offices connect to each other by using a WAN link that has 5-ms latency.
A: Datum standardizes its database platform by using SQL Server
2014 Enterprise edition.
Databases
Each office contains databases named Sales, Inventory, Customers, Products, Personnel, and Dev.
Servers and databases are managed by a team of database administrators. Currently, all of the database administrators have the same level of permissions on all of the servers and all of the databases.
The Customers database contains two tables named Customers and Classifications.
The following graphic shows the relevant portions of the tables:

The following table shows the current data in the Classifications table:

The Inventory database is updated frequently.
The database is often used for reporting.
A full backup of the database currently takes three hours to complete.
Stored Procedures
A stored procedure named USP_1 generates millions of rows of data for multiple reports. USP_1 combines data from five different tables from the Sales and Customers databases in a table named Table1.
After Table1 is created, the reporting process reads data from Table1 sequentially several times. After the process is complete, Table1 is deleted.
A stored procedure named USP_2 is used to generate a product list. The product list contains the names of products grouped by category.
USP_2 takes several minutes to run due to locks on the tables the procedure accesses. The locks are caused by USP_1 and USP_3.
A stored procedure named USP_3 is used to update prices. USP_3 is composed of several UPDATE statements called in sequence from within a transaction.
Currently, if one of the UPDATE statements fails, the stored procedure fails. A stored procedure named USP_4 calls stored procedures in the Sales, Customers, and Inventory databases.
The nested stored procedures read tables from the Sales, Customers, and Inventory databases. USP_4 uses an EXECUTE AS clause.
All nested stored procedures handle errors by using structured exception handling. A stored procedure named USP_5 calls several stored procedures in the same database. Security checks are performed each time USP_5 calls a stored procedure.
You suspect that the security checks are slowing down the performance of USP_5. All stored procedures accessed by user applications call nested stored procedures.
The nested stored procedures are never called directly.
Design Requirements
Data Recovery
You must be able to recover data from the Inventory database if a storage failure occurs. You have a Recovery Time Objective (RTO) of 5 minutes.
You must be able to recover data from the Dev database if data is lost accidentally. You have a Recovery Point Objective (RPO) of one day.
Classification Changes
You plan to change the way customers are classified. The new classifications will have four levels based on the number of orders. Classifications may be removed or added in the future. Management requests that historical data be maintained for the previous classifications. Security A group of junior database administrators must be able to manage security for the Sales database. The junior database administrators will not have any other administrative rights.
A: Datum wants to track which users run each stored procedure.
Storage
ADatum has limited storage. Whenever possible, all storage space should be minimized for all databases and all backups.
Error Handling
There is currently no error handling code in any stored procedure.
You plan to log errors in called stored procedures and nested stored procedures. Nested stored procedures are never called directly.
You need to recommend a solution to minimize the amount of time it takes to execute USP_1. With what should you recommend replacing Table1?
A. A temporary table
B. A function
C. An indexed view
D. A table variable
Answer: A
Explanation:
Explanation
Scenario:
A stored procedure named USP_1 generates millions of rows of data for multiple reports. USP_1 combines data from five different tables from the Sales and Customers databases in a table named Table1.
After Table1 is created, the reporting process reads data from a table in the Products database and searches for information in Table1 based on input from the Products table. After the process is complete, Table1 is deleted.