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Exam Code: H13-731_V2.0
Exam Name: HCIE-Big Data-Data Mining V2.0
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NEW QUESTION: 1
The INVJHISTORY table is created using the command:
SQL>CREATE TABLE INV_HISTORY
(inv_no NUMBER(3),
inv_date DATE,
inv_amtNUMBER(10,2))
partition by range (inv_date)
interval (numtoyminterval(1 ,'month'))
(partition pO values less than (to_date(l01-01-2005llldd-mm-yyyy1)),
partition p1 values less than (to_date('01-01-2006','dd-mm-yyyy')));
The following data has been inserted into the INVJHISTORY table :
INV_NO INV_DATE INV_AMT
1 30-dec-2004 1000
2 30-dec-2005 2000
3 1-feb-2006 3000
4 1-mar-2006 4000
5 1-apr-2006 5000
You would like to store the data belonging to the year 2006 in a single partition and issue the command:
SQL> ALTER TABLE inv_history MERGE PARTITIONS FOR(TO_DATE(l15-feb-2006l,ldd-mon-yyyy,)),FOR(TO_DATE(l15-apr-20061))
INTO PARTITION sys_py;
What would be the outcome of this command?
A. It produces an error because the partitions specified for merging are not adjacent.
B. It executes successfully, and the transition point is set to '15-apr-2006'.
C. It produces an error because the date values specified in the merge do not match the date values stored in the table.
D. It executes successfully, and the transition point is set to "l-apr-20061.
Answer: A

NEW QUESTION: 2
Which of the following is/are true?
I. It is harder to reject the null under a two-tailed test than under a one-tailed test.
II. To test the hypothesis: Ho: X = 0, H1: X < 0, you have to employ a left-tailed test.
III. The acceptance region under a right tailed test extends from zero to positive infinity.
IV. The critical z-statistics in one-tailed tests are always lower than the z-statistics in the corresponding two-tailed test.
A. none of these answers
B. I, II & III
C. II, III & IV
D. I, II, III & IV
E. I, II & IV
Answer: E
Explanation:
Explanation/Reference:
Explanation:
Under a two-tailed test, values on either side of the null can contribute to a rejection. Hence, the critical values under a two-tailed test have to be higher than under a one-tailed test for a given level of significance. This makes it harder to reject the null under a two-tailed test. This makes intuitive sense. In a one-tailed test, you are specifying a stricter alternative than under a completely general, two-tailed alternative (in the current example, you are claiming that X is less than zero as an alternative which is a stronger statement than the claim that X is non-zero). The rejection region in a right-tailed regression extends from the critical t-value associated with the given significance level and positive infinity. This critical value is greater than zero.

NEW QUESTION: 3
기업의 주당 기본 수입은 대략 다음과 같습니다.
A. US $ 227
B. US $ 2.00
C. US $ 1 73
D. 1.87 달러
Answer: C
Explanation:
BEPS equals profit minus preference dividends, divided by ordinary shares outstanding_ Thus. BEPS equals US $1_73 {[$150.000 - $2 x 10.000 preference shares)] - 75.000 ordinary shares}.


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