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NEW QUESTION: 1
A car insurance quote requires a view for potential customers to enter information to process the request. What are the three primary decisions to make before you add fields to the view? (Choose Three)
A. Is field entry required?
B. How do users enter values into the field?
C. Do users need to see the field?
D. Are processing actions applied to the field?
E. Does the field require a data source?
Answer: C,D,E

NEW QUESTION: 2
C # 프로그램을 개발 중입니다.
다음 코드 줄을 작성합니다.
int x = 6 + 4 * 4 / 2 - 1;
이 문장이 실행 된 후에 변수 x의 값은 어떻게 됩니까?
A. 0
B. 1
C. 2
D. 3
Answer: C

NEW QUESTION: 3
Which out of the box reports require data enrichment?
A. Virtual Datacenters Summary
B. Capacity
C. Chargeback
D. Inventory
Answer: C

NEW QUESTION: 4
A table in one ofi your database schemas contains only varchar, number, and date data types fior the columns.
Which three operations can be offloaded to the Exadata storage servers when doing a smart scan against this table, ifi
no other situations arise that prevent Smart Scan firom occurring?
A. Virtual column filtering
B. Predicate filtering
C. Nested loop Join filtering
D. Hash join filtering
E. Column filtering
F. Sort merge join filtering
Answer: B,D,E
Explanation:
A: Smart Scan Column Filtering
Exadata provides column filtering, also called column projection, fior table scans. Only the columns requested are
returned to the database server rather than all columns in a table. For example, when the fiollowing SQL is issued, only
the employee_name and employee_number columns are returned firom Exadata to the database kernel.
SELECT employee_name, employee_number FROM employee_table.
For tables with many columns, or columns containing LOBs (Large Objects), the I/O bandwidth saved can be very
large. Using both predicate and column filtering dramatically improves perfiormance and reduces I/O bandwidth
consumption. In addition, column filtering also applies to indexes, allowing fior even fiaster query perfiormance.
C: Smart Scan Predicate Filtering
Exadata enables predicate filtering fior table scans. Only the rows requested are returned to the database server
rather than all rows in a table. For example, when the fiollowing SQL is issued only rows where the employees' hire
date is after the specified date are sent firom Exadata to the database instance.
SELECT * FROM employee_table WHERE hire_date > '1-Jan-2003'.
This ability to return only relevant rows to the server greatly improves database perfiormance. This perfiormance
enhancement also applies as queries become more complicated, so the same benefits also apply to complex queries,
including those with subqueries.