Questions and Answers: 166
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NEW QUESTION: 1
누군가가 당신에게 새로운 고객을 추천했고 당신은 그가 온라인 게임을하고 있다는 것을 알고 있으며, 당신은 그가 완벽하게 확장 가능한 빠른 속도와 예측 가능한 성능을 제공하는 데이터베이스 서비스를 필요로하는 온라인 게임 사이트를 구축하기를 원할 것이라고 거의 확신합니다.
다음 중 온라인 게임 사이트에 가장 적합한 AWS 데이터베이스는 무엇입니까?
A. Amazon DynamoDB
B. Amazon SimpleDB
C. Amazon ElastiCache
D. 아마존 레드 시프트
Answer: A
Explanation:
설명
Amazon DynamoDB는 완벽하게 확장 가능한 완벽하고 예측 가능한 성능을 제공하는 완전 관리 형 NoSQL 데이터베이스 서비스입니다. Amazon DynamoDB를 사용하여 모든 양의 데이터를 저장 및 검색하고 모든 수준의 요청 트래픽을 처리 할 수 있는 데이터베이스 테이블을 생성 할 수 있습니다. Amazon DynamoDB는 고객이 지정한 요청 용량과 저장된 데이터 양을 처리 할 수 있도록 충분한 수의 서버에 테이블의 데이터와 트래픽을 자동으로 분산시키면서 일관되고 빠른 성능을 유지합니다.
http://aws.amazon.com/documentation/dynamodb/
NEW QUESTION: 2
During a planning session, four out of five team members vole to include eight story points m a particular story, while the fifth member votes for five story points How should this be handled7
A. The story should be added to the backlog and reassessed later
B. The story should be assigned eight story points as per the majority vote.
C. The decision for the number of story points should be made by the customer
D. The story should be assigned points after a discussion with the fifth team member to see if a consensus can be reached
Answer: D
NEW QUESTION: 3
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 a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
You have the following requirements:
*
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
*
Partition the Fact.Order table and retain a total of seven years of data.
*
Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
*
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
*
Incrementally load all tables in the database and ensure that all incremental changes are processed.
*
Maximize the performance during the data loading process for the Fact.Order partition.
*
Ensure that historical data remains online and available for querying.
*
Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to implement the data partitioning strategy.
How should you partition the Fact.Order table?
A. Create 730 partitions.
B. Use a granularity of two days.
C. Create 2,557 partitions.
D. Create 17,520 partitions.
Answer: C
Explanation:
We create on partition for each day. 7 years times 365 days is 2,555. Make that 2,557 to provide for leap years.
From scenario: Partition the Fact.Order table and retain a total of seven years of data.
Maximize the performance during the data loading process for the Fact.Order partition.
NEW QUESTION: 4
Welche der folgenden BEST-Methoden verringert einen Wiederholungsangriff auf ein System mithilfe der SAML-Implementierung (Identity Federation and Security Assertion Markup Language)?
A. Zwei-Faktor-Authentifizierung
B. Digitale Zertifikate und Hardware-Token
C. Passwörter mit alphanumerischen Zeichen und Sonderzeichen
D. Zeitgesteuerte Sitzungen und Secure Socket Layer (SSL)
Answer: D