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NEW QUESTION: 1
Although there are various tools and techniques to consider as you collect requirements on your project, one approach that supports the concept of progressive elaboration is______________
A. Affinity diagrams
B. Joint Application Design@ sessions
C. Prototypes
D. Idea/mind mapping
Answer: C
Explanation:
Prototypes are used to obtain early feedback on requirements by providing a working model of the expected product before it is built. Stakeholders then can experiment with this model rather than discussing abstract representations of requirements. This approach supports progressive elaboration, because it is used in iterative cycles of mock-up creation, user experimentation, feedback generation, and prototype revision. [Planning] PMI@, PMBOK@ Guide, 2013, 116

NEW QUESTION: 2
A company has an on-premises Microsoft SOI Server environment and Microsoft Azure SQL Database instance's. The environment hosts several customer databases.
You configure instances for a specific customer as an Always On Availability Group. The primary replica is located on premises the secondary replied is in Azure.
You need to configure the availability group for planned manual failovers and forced failovers.
In the table below, identify the failover mode that you must use for each failover type.
NOTE: Make only one selection in each column.

Answer:
Explanation:

Explanation

Column 1: Asynchronous-commit
Asynchronous-commit replicas support only the manual failover mode.
Column 2: Synchronous-commit
Synchronous-commit replicas support two settings-automatic or manual. The "automatic" setting supports both automatic failover and manual failover.
Three forms of failover exist: automatic failover (without data loss), planned manual failover (without data loss), and forced manual failover (with possible data loss), typically called forced failover.
References:
https://docs.microsoft.com/en-us/sql/database-engine/availability-groups/windows/failover-and-failover-modes-a

NEW QUESTION: 3
会社のウェブサイトは、トランザクションデータストレージにAmazon RDS MySQLマルチAZ DBインスタンスを使用しています。
このDBインスタンスにクエリを実行して内部バッチ処理用のデータをフェッチする内部システムは他にもあります。 RDS DBインスタンスは、内部システムがデータをフェッチする速度を大幅に低下させます。これはWebサイトの読み取りと書き込みのパフォーマンスに影響し、ユーザーの応答時間が遅くなります。
Webサイトのパフォーマンスを向上させるソリューションはどれですか。
A. RDS DBインスタンスにリードレプリカを追加し、リードレプリカをクエリするように内部システムを構成します。
B. MySQLデータベースの代わりにRDS PostgreSQL DBインスタンスを使用します。
C. Amazon ElastiCacheを使用して、ウェブサイトのクエリ応答をキャッシュします。
D. 現在のRDS MySQL Multi.AZ DBインスタンスに追加のアベイラビリティーゾーンを追加します。
Answer: A
Explanation:
Explanation
Amazon RDS Read Replicas
Enhanced performance
You can reduce the load on your source DB instance by routing read queries from your applications to the read replica. Read replicas allow you to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads. Because read replicas can be promoted to master status, they are useful as part of a sharding implementation.
To further maximize read performance, Amazon RDS for MySQL allows you to add table indexes directly to Read Replicas, without those indexes being present on the master.
https://aws.amazon.com/rds/features/read-replicas/

NEW QUESTION: 4
Amazon DynamoDBは、アトミック操作の増加と減少の両方をサポートしますか?
A. いいえ、インクリメントもデクリメントもしません。
B. DynamoDBのデータモデルではデクリメントは本質的に不可能なので、インクリメントのみ。
C. DynamoDBのデータモデルではインクリメントは本質的に不可能なので、デクリメントのみ。
D. はい、インクリメントとデクリメントの両方の操作です。
Answer: D
Explanation:
Amazon DynamoDBは、増分および減分のアトミック操作をサポートしています。
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/APISummary.html