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NEW QUESTION: 1
선호하는 클라이언트는 관리 시간을 최소화하면서 관계형 데이터베이스 서비스 인 데이터베이스를 신속하게 배치해야합니다. 어떤 데이터베이스가 최선의 선택입니까?
A. Amazon SimpleDB
B. Amazon Redshift
C. Amazon RDS
D. Amazon EC2 및 EBS에서 관계형 AMI를 선택할 수 있습니다.
Answer: C
Explanation:
설명:
Amazon RDS (Relational Database Service)는 클라우드에서 관계형 데이터베이스를 손쉽게 설정, 작동 및 확장 할 수있게 해주는 웹 서비스입니다. 비용 효율적이고 크기 조정이 가능한 용량을 제공하는 동시에 시간이 많이 걸리는 데이터베이스 관리 작업을 관리하므로 응용 프로그램과 비즈니스에 집중할 수 있습니다.
Amazon RDS를 사용하면 익숙한 MySQL, Oracle, SQL Server 또는 PostgreSQL 데이터베이스 엔진의 기능에 액세스 할 수 있습니다. 즉, 기존 데이터베이스에서 이미 사용하고있는 코드, 응용 프로그램 및 도구를 Amazon RDS와 함께 사용할 수 있습니다. Amazon RDS는 자동으로 데이터베이스 소프트웨어를 패치하고 사용자 데이터베이스를 백업하고 사용자 정의 보존 기간 동안 백업을 저장하며 특정 시점 복구를 활성화합니다.
참조 : https://aws.amazon.com/running_databases/#rds_anchor

NEW QUESTION: 2
주문 처리 시스템을 구현 중입니다. POS 응용 프로그램은 Azure Service Bus 큐의 항목에 주문을 게시합니다. 항목의 label 속성에는 다음 데이터가 포함됩니다.

시스템에는 다음과 같은 가입 요구 사항이 있습니다.

필터를 구현하는 동시에 처리량을 최대화해야 합니다.
어떤 필터 유형을 구현해야 합니까? 대답하려면 적절한 필터 유형을 올바른 구독으로 드래그하십시오. 각 필터 유형은 한 번, 두 번 이상 또는 전혀 사용하지 않을 수 있습니다. 콘텐츠를 보려면 분할 막대를 창 사이로 드래그하거나 스크롤 해야 할 수 있습니다.
참고 : 각각의 올바른 선택은 한 점으로 가치가 있습니다.

Answer:
Explanation:

Explanation:
FutureOrders: SQLFilter
HighPriortyOrders: CorrelationFilter
CorrelationID only
InternationalOrders: SQLFilter
Country NOT USA requires an SQL Filter
HighQuantityOrders: SQLFilter
Need to use relational operators so an SQL Filter is needed.
AllOrders: No Filter
SQL Filter: SQL Filters - A SqlFilter holds a SQL-like conditional expression that is evaluated in the broker against the arriving messages' user-defined properties and system properties. All system properties must be prefixed with sys. in the conditional expression. The SQL-language subset for filter conditions tests for the existence of properties (EXISTS), as well as for null-values (IS NULL), logical NOT/AND/OR, relational operators, simple numeric arithmetic, and simple text pattern matching with LIKE.
Correlation Filters - A CorrelationFilter holds a set of conditions that are matched against one or more of an arriving message's user and system properties. A common use is to match against the CorrelationId property, but the application can also choose to match against ContentType, Label, MessageId, ReplyTo, ReplyToSessionId, SessionId, To, and any user-defined properties. A match exists when an arriving message's value for a property is equal to the value specified in the correlation filter. For string expressions, the comparison is case-sensitive. When specifying multiple match properties, the filter combines them as a logical AND condition, meaning for the filter to match, all conditions must match.
Boolean filters - The TrueFilter and FalseFilter either cause all arriving messages (true) or none of the arriving messages (false) to be selected for the subscription.
References:
https://docs.microsoft.com/en-us/azure/service-bus-messaging/topic-filters

NEW QUESTION: 3
データベース・インスタンスのパラメータを確認してください:

どの3つのステートメントはカーディナリティのフィードバックを使用して、自動最適化のプロセスについて真ですか。
A. 動的サンプリングと複数列の統計情報が有効になっている場合、オプティマイザは基数のフィードバックを監視しません。
B. オプティマイザの推定と実行統計に大きな差がある場合、オプティマイザは自動的にSQL文の次の実行中に計画を変更します。
C. オプティマイザは基数のフィードバックを一度使用するだけにクエリを再最適化することができます。
D. オプティマイザはクエリの最初の実行後にカーディナリティフィードバックの監視を可能にします。
E. オプティマイザが再最適化の候補としてクエリを特定した後、コレクターによって収集された統計はオプティマイザに提出されています。
Answer: A,B,D
Explanation:
Explanation
C: During the first execution of a SQL statement, an execution plan is generated as usual.
D: if multi-column statistics are not present for the relevant combination of columns, the optimizer can fall back on cardinality feedback.
(not B)* Cardinality feedback. This feature, enabled by default in 11.2, is intended to improve plans for repeated executions.
optimizer_dynamic_sampling
optimizer_features_enable
* dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates.
Note:
* OPTIMIZER_DYNAMIC_SAMPLING controls the level of dynamic sampling performed by the optimizer.
Range of values. 0 to 10
* Cardinality feedback was introduced in Oracle Database 11gR2. The purpose of this feature is to automatically improve plans for queries that are executed repeatedly, for which the optimizer does not estimate cardinalities in the plan properly. The optimizer may misestimate cardinalities for a variety of reasons, such as missing or inaccurate statistics, or complex predicates. Whatever the reason for the misestimate, cardinality feedback may be able to help.

NEW QUESTION: 4
모니터링 및 제어 프로세스 그룹에는 다음과 같은 프로세스가 포함됩니다.
A. 프로젝트 관리 계획에 정의 된 작업을 완료하십시오.
B. 프로젝트의 범위, 목적 및 행동 과정을 수립하고,
C. 프로젝트의 진행 및 성과를 추적, 검토 및 규제합니다.
D. 기존 프로젝트의 새로운 프로젝트 또는 새로운 단계를 정의하십시오.
Answer: C

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