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NEW QUESTION: 1
애플리케이션에 실시간 데이터 스트리밍이 필요합니다. 각 레코드는 500KB입니다. 데이터가 최소한의 지연으로 기록에 따라 전달되고 처리되는 것이 가장 중요합니다. 어떤 솔루션으로 그렇게 할 수 있습니까? 정답을 선택하십시오.
A. 키네시스 스트림
B. SQS
C. 스팀 끓기
D. RDS
Answer: A
Explanation:
설명:
SQS는 페이로드 크기, Spark 스트리밍 배치 및 RDS를 처리 할 수 ​​없습니다.

NEW QUESTION: 2
On your Oracle 12c database, you Issue the following commands to create indexes
SQL > CREATE INDEX oe.ord_customer_ix1 ON oe.orders (customers_id, sales_rep_id) INVISIBLE;
SQL> CREATE BITMAP INDEX oe.ord_customer_ix2 ON oe.orders (customers_id, sales_rep_id);
Which two statement are correct?
A. Only the ORD_CUSTOMER_IX2 index is created.
B. Only the ORD_CUSTOMER_IX1 index is created.
C. Both the indexes are created; however, only the ORD_COSTOMER index is visible.
D. The optimizer evaluates index access from both the Indexes before deciding on which index to use for query execution plan.
E. Both the indexes are updated when a new row is inserted, updated, or deleted In the orders table.
Answer: C,E
Explanation:
11G has a new feature called Invisible Indexes. An invisible index is invisible to the optimizer as default. Using this feature we can test a new index without effecting the execution plans of the existing sql statements or we can test the effect of dropping an index without dropping it.

NEW QUESTION: 3
Which two statements are true about InnoDB auto-increment locking?
A. The auto-increment lock can be a table-level lock.
B. InnoDB does not use locks to enforce auto-increment uniqueness.
C. Some settings for innodb_autoinc_lock_mode can help reduce locking.
D. InnoDB never uses table_level locks.
E. InnoDB always protects auto-increment updates with a table-level lock
Answer: A,C

NEW QUESTION: 4
Sensitivity analysis is typically displayed as a/an:
A. Decision tree diagram.
B. Pareto diagram.
C. Ishikawa diagram.
D. Tornado diagram.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
11.4.2.2 Quantitative Risk Analysis and Modeling Techniques
* Sensitivity analysis. Sensitivity analysis helps to determine which risks have the most potential impact on the project. It helps to understand how the variations in project's objectives correlate with variations in different uncertainties. Conversely, it examines the extent to which the uncertainty of each project element affects the objective being studied when all other uncertain elements are held at their baseline values. One typical display of sensitivity analysis is the tornado diagram (Figure 11-15), which is useful for comparing relative importance and impact of variables that have a high degree of uncertainty to those that are more stable. The Tornado diagram is also helpful in analyzing risk-taking scenarios enabled on specific risks whose quantitative analysis highlights possible benefits greater than corresponding identified negative impacts. A tornado diagram is a special type of bar chart used in sensitivity analysis for comparing the relative importance of the variables. In a tornado diagram, the Y- axis contains each type of uncertainty at base values, and the X-axis contains the spread or correlation of the uncertainty to the studied output. In this fgure, each uncertainty contains a horizontal bar and is ordered vertically to show uncertainties with a decreasing spread from the base values.