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NEW QUESTION: 1
VRRPはどの2種類の認証タイプをサポートしていますか？ （2つを選択してください）
A. 802.1x
B. PAP
C. CHAP
D. MD5
E. Plain-text
Answer: D,E

NEW QUESTION: 2
What is the ratio of the percent of sales from sporting goods to the percent of sales from stationery?
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: B

NEW QUESTION: 3
You are administering a database supporting an OLTP application. The application runs a series of extremely similar queries the MYSALES table where the value of CUST_ID changes.
Examine Exhibit1 to view the query and its execution plan.

Examine Exhibit 2 to view the structure and indexes for the MYSALES table. The MYSALES table has 4 million records.

Data in the CUST_ID column is highly skewed. Examine the parameters set for the instance:

Which action would you like to make the query use the best plan for the selectivity?
A. Collect histogram statistics for the CUST_ID column and use a bind variable instead of literal values.
B. Us the /*+ INDEX(CUST_ID_IDX) */ hint in the query.
C. Decrease the value of the OPTIMIZER_DYNAMIC_SAMPLING parameter to 0.
D. Drop the existing B* -tree index and re-create it as a bitmapped index on the CUST_ID column.
Answer: A
Explanation:
Using Histograms
In some cases, the distribution of values within a column of a table will affect the optimizer's decision to use an index vs. perform a full-table scan. This scenario occurs when the value with a where clause has a disproportional amount of values, making a full-table scan cheaper than index access.
A column histogram should only be created when we have data skew exists or is suspected.