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NEW QUESTION: 1
You issue the following query:
SQL> SELECT AVG(MAX(qty))
FROM ord_items
GROUP BY item_no
HAVING AVG(MAX(qty))>50;
Which statement is true regarding the outcome of this query?
A. It executes successfully but does not give the correct output.
B. It executes successfully and gives the correct output.
C. It gives an error because the HAVING clause is not valid.
D. It gives an error because the GROUP BY expression is not valid.
Answer: C
Explanation:
The general form of the SELECT statement is further enhanced by the addition of the HAVING clause and becomes:
SELECT column|expression|group_function(column|expression [alias]), ...} FROM table
[WHERE condition(s)]
[GROUP BY {col(s)|expr}]
[HAVING group_condition(s)]
[ORDER BY {col(s)|expr|numeric_pos} [ASC|DESC] [NULLS FIRST|LAST]];
An important difference between the HAVING clause and the other SELECT statement clauses is that it may only be specified if a GROUP BY clause is present. This dependency is sensible since group-level rows must exist before they can be restricted. The HAVING clause can occur before the GROUP BY clause in the SELECT statement. However, it is more common to place the HAVING clause after the GROUP BY clause. All grouping is performed and group functions are executed prior to evaluating the HAVING clause.
NEW QUESTION: 2
You are about to plug a multi-terabyte non-CDB into an existing multitenant container database (CDB) as a pluggable database (PDB).
The characteristics of the non-CDB are as follows:
– Version: Oracle Database 12c Releases 1 64-bit
– Character set: WE8ISO8859P15
– National character set: AL16UTF16
– O/S: Oracle Linux6 64-bit
The characteristics of the CDB are as follows:
– Version: Oracle Database 12c Release 1 64-bit
– Character set: AL32UTF8
– O/S: Oracle Linux 6 64-bit
Which technique should you use to minimize down time while plugging this non-CDB into the CDB?
A. RMAN
B. Transportable tablespace
C. The DBMS_PDB package
D. Data Pump full export / import
E. Transportable database
Answer: D
NEW QUESTION: 3
You are developing a back-end Azure App Service that scales based on the number of messages contained in a Service Bus queue.
A rule already exists to scale up the App Service when the average queue length of unprocessed and valid queue messages is greater than 1000.
You need to add a new rule that will continuously scale down the App Service as long as the scale up condition is not met.
How should you configure the Scale rule? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation