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NEW QUESTION: 1
What will happen when you attempt to compile and run the following code? Choose all that apply.
#include <iostream>
#include <algorithm>
#include <vector>
#include <set>
using namespace std;
class A {
int a;
public:
A(int a) : a(a) {}
int getA() const { return a; } void setA(int a) { this?>a = a; }
bool operator < (const A & b) const { return a<b.a;}
};
class F {
A val;
public:
F(A & v):val(v){}
bool operator() (A & v) {
if (v.getA() == val.getA()) return true;
return false;
}
};
int main() {
int t[] = { 10, 5, 9, 6, 2, 4, 7, 8, 3, 1 };
vector<A> v1(t, t + 10);
set<A> s1(t, t + 10);
A a(6); F f(a);
find_if(s1.begin(), s1.end(), f);
if (find_if(v1.begin(), v1.end(), f) !=v1.end()) {
cout<<"Found!\n";
} else {
cout<<"Not found!\n";
}
return 0;
}
A. it will compile successfully
B. it will display Not found!
C. it will display Found!
D. it will not compile successfully
Answer: D

NEW QUESTION: 2
Ein Techniker muss die Verkabelung vom Patchfeld zu einer neuen Breakout-Box verlegen. Welche der folgenden Optionen sollte der Techniker verwenden, um das Kabel sowohl an der neuen Position als auch am Patchfeld im Netzwerkkabelschrank an die Buchse anzuschließen?
A. Multimeter
B. Drahtcrimper
C. Kabeltester
D. Stanzwerkzeug
Answer: B

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stores sales data. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the operational workload.
Solution: You remove any clustered indexes and load the table for processing.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Clustered columnstore tables offer both the highest level of data compression as well as the best overall query performance. Clustered columnstore tables will generally outperform clustered index or heap tables and are usually the best choice for large tables. For these reasons, clustered columnstore is the best place to start when you are unsure of how to index your table.
Note: Dimensional tables can be used to reduce the size of fact tables.
Dimension tables contain attribute data that might change but usually changes infrequently. For example, a customer's name and address are stored in a dimension table and updated only when the customer's profile changes. To minimize the size of a large fact table, the customer's name and address do not need to be in every row of a fact table. Instead, the fact table and the dimension table can share a customer ID. A query can join the two tables to associate a customer's profile and transactions.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-overview

NEW QUESTION: 4
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, bei denen die gleichen oder ähnliche Antwortmöglichkeiten verwendet werden. Eine Antwortauswahl kann für mehr als eine Frage in der Reihe richtig sein. Jede Frage ist unabhängig von den anderen Fragen in der Reihe. In einer Frage angegebene Informationen und Details gelten nur für diese Frage.
Sie entwickeln eine Anwendung zum Nachverfolgen von Kundenverkäufen.
Sie müssen ein Datenbankobjekt erstellen, das die folgenden Anforderungen erfüllt:
- Start, wenn Tabellendaten geändert werden.
- Werten Sie den Status einer Tabelle vor und nach einer Datenänderung aus und ergreifen Sie Maßnahmen basierend auf dem Unterschied.
- Verhindern Sie böswillige oder falsche Tabellendatenoperationen.
- Verhindern Sie Änderungen, die die referenzielle Integrität verletzen, indem Sie die versuchte Datenänderung abbrechen.
- Führen Sie verwalteten Code aus, der in einer Assembly gepackt ist, die in Microsoft.NET Framework erstellt wurde und sich in Microsoft SQL Server befindet.
Was solltest du erstellen?
A. Skalarwertfunktion
B. benutzerdefinierte Prozedur
C. DML-Trigger
D. CLR-Prozedur
E. Tabellenwertfunktion
F. Erweitertes Verfahren
Answer: D
Explanation:
Explanation
You can create a database object inside SQL Server that is programmed in an assembly created in the Microsoft .NET Framework common language runtime (CLR). Database objects that can leverage the rich programming model provided by the CLR include DML triggers, DDL triggers, stored procedures, functions, aggregate functions, and types.
Creating a CLR trigger (DML or DDL) in SQL Server involves the following steps:
Define the trigger as a class in a .NETFramework-supported language. For more information about how to program triggers in the CLR, see CLR Triggers. Then, compile the class to build an assembly in the .NET Framework using the appropriate language compiler.
Register the assembly in SQL Server using the CREATE ASSEMBLY statement. For more information about assemblies in SQL Server, see Assemblies (Database Engine).
Create the trigger that references the registered assembly.
References: https://msdn.microsoft.com/en-us/library/ms179562.aspx