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NEW QUESTION: 1
You are designing the data warehouse to import data from three different environments. The sources for the data warehouse will be loaded every hour.
Scenario A includes tables in a Microsoft Azure SQL Database:
* Millions of updates and inserts occur per hour
* A periodic query of the current state of rows that have changed is needed.
* The change detection method needs to be able to ignore changes to some columns in a table.
* The source database is a member of an AlwaysOn Availability group.
Scenario B includes tables with status update changes:
* Tracking the duration between workflow statuses.
* All transactions must be captured, including before/after values for UPDATE statements.
* To minimize impact to performance, the change strategy adopted should be asynchronous.
Scenario C includes an external source database:
* Updates and inserts occur regularly.
* No changes to the database should require code changes to any reports or applications.
* Columns are added and dropped to tables in the database periodically. These schema changes should not require any interruption or reconfiguration of the change detection method chose.
* Data is frequently queried as the entire row appeared at a past point in time.
All tables have primary keys.
You need to load each data source. You must minimize complexity, disk storage, and disruption to the data sources and the existing data warehouse.
Which change detection method should you use for each scenario? To answer, drag the appropriate loading methods to the correct scenarios. Each source may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box A: System-Versioned Temporal Table
System-versioned temporal tables are designed to allow users to transparently keep the full history of changes for later analysis, separately from the current data, with the minimal impact on the main OLTP workload.
Box B: Change Tracking
Box C: Change Data Capture
Change data capture supports tracking of historical data, while that is not supported by change tracking.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/track-changes/track-data-changes-sql-server
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios

NEW QUESTION: 2
What are four IoT solutions that are available for smart cities in conjunction with Cisco Connected Safety and Security? (Choose four.)
A. city lighting
B. traffic management
C. connected factories
D. regulatory compliance
E. waste management
F. parking optimization
Answer: A,B,E,F

NEW QUESTION: 3
마이그레이션 전략의 일부로 Solutions Architect는 성능 및 비용에 최적화 될 수있는 워크로드를 분석해야 합니다. Solutions Architect는 클라우드로 이동할 수 있는 잠재적 후보로서 정적 컨텐츠를 제공하는 상태 비 저장 애플리케이션을 식별했습니다. Solutions Architect는 Facebook, Twitter 및 Amazon간에 자격 증명 솔루션을 유연하게 선택할 수 있습니다.
유연성과 사용 편의성을 제공하는 AWS 솔루션과이 마이그레이션에 대한 최소 운영 오버 헤드는 무엇입니까?
A. 자격 증명 관리를 위해 Amazon Cognito를 사용하고 Amazon S3, EC2 스팟 인스턴스 및 Amazon EC2에서 실행되도록 애플리케이션을 마이그레이션합니다.
B. 자격 증명 관리를 위해 타사 솔루션을 사용하고 Amazon S3, EC2 스팟 인스턴스 및 Amazon EC2에서 실행되도록 애플리케이션을 마이그레이션하십시오.
C. 자격 증명을 관리하기 위해 AWS Identity and Access Management (IAM)를 사용하고 Amazon S3, Amazon API Gateway 및 AWS Lambda에서 실행되도록 애플리케이션을 마이그레이션하십시오.
D. 자격 증명 관리를 위해 Amazon Cognito를 사용하고 Amazon S3, Amazon API Gateway 및 AWS Lambda에서 실행되도록 애플리케이션을 마이그레이션하십시오.
Answer: A

NEW QUESTION: 4
Refer to the exhibit.

You are verifying connectivity within a leaf device. You attempt to connect to a destination server in VLAN
17, and you then run the show mac address-table command as shown. Why does the show mac address-table output show a different VLAN?
A. The VLAN ID shown is used for identification and internal mapping within the ACI leaf.
B. The VLAN configuration on the leaf switch is incorrect.
C. The wrong AEP is attached to the leaf ports.
D. When traffic appears, the Cisco ACI marks ports with VLAN 17.
Answer: C