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NEW QUESTION: 1
Drag and drop each DHCP message on the left to the correct combination of source and destination port on the right

Answer:
Explanation:

NEW QUESTION: 2
You notice a performance change in your production Oracle database and you want to know which change has made this performance difference.
You generate the Compare Period Automatic Database Diagnostic Monitor (ADDM) report to further investigation.
Which three findings would you get from the report?
A. It detects the top wait events causing performance degradation.
B. It shows the difference in the size of memory pools in both time periods.
C. It gives information about statistics collection in both time periods.
D. It shows the resource usage for CPU, memory, and I/O in both time periods.
E. It detects any configuration change that caused a performance difference in both time periods.
F. It identifies any workload change that caused a performance difference in both time periods.
Answer: D,E,F
Explanation:
Explanation/Reference:
Explanation:
Keyword: shows the difference.
* Full ADDM analysis across two AWR snapshot periods
Detects causes, measure effects, then correlates them
Causes: workload changes, configuration changes
Effects: regressed SQL, reach resource limits (CPU, I/O, memory, interconnect) Makes actionable recommendations along with quantified impact
* Identify what changed
/Configuration changes, workload changes
* Performance degradation of the database occurs when your database was performing optimally in the past, such as 6 months ago, but has gradually degraded to a point where it becomes noticeable to the users. The Automatic Workload Repository (AWR) Compare Periods report enables you to compare database performance between two periods of time.
While an AWR report shows AWR data between two snapshots (or two points in time), the AWR Compare Periods report shows the difference (ABE) between two periods (or two AWR reports with a total of four snapshots). Using the AWR Compare Periods report helps you to identify detailed performance attributes and configuration settings that differ between two time periods.
References:

NEW QUESTION: 3
DRAG DROP
You are using Multidimensional Expressions (MDX) to query a SQL Server Analysis Services (SSAS) cube.
You need to compute the aggregate value of the 10 most-ordered produces in the Product Categories hierarchy. The Product level is the lowest in the hierarchy.
Which functions should you use to complete the MDX query? (To answer, drag the appropriate functions from the list of functions to the correct locations in the answer area.) Select and Place:

Answer:
Explanation:

Explanation/Reference:
Note:
* Example (order of TopCount and Aggregate):
WITH
SET
[Top25Customers] as
TopCount([Customers].[All Customers].Children, 25.0, [Measures].[Sales]) MEMBER [Customers].[All Customers].[Rest of Customers] as
Aggregate(Except([Customers].[All Customers].Children,[Top25Customers])) SELECT
NON EMPTY {CROSSJOIN([Markets].[All Markets].Children,{[Measures].Sales})} ON COLUMNS,
Union([Top25Customers],{[Customers].[All Customers].[Rest of Customers]}) ON ROWS from [SteelWheelsSales]
* TopCount: Sorts a set in descending order and returns the specified number of elements with the highest values.
*Aggregate:
Returns a number that is calculated by aggregating over the cells returned by the set expression. If a numeric expression is not provided, this function aggregates each measure within the current query context by using the default aggregation operator that is specified for each measure. If a numeric expression is provided, this function first evaluates, and then sums, the numeric expression for each cell in the specified set.
* Example:
One can extract the leaf members of a parent child hierarchy by asking the descendants of the root member with the following expression:
Descendants([Organization].[Organizations].&[1], , LEAVES)
* Incorrect:
/Not TopSUM: Returns, in order of decreasing rank, the top-most rows of a table whose cumulative total is at least a specified value.