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NEW QUESTION: 1
Refer to the exhibit.

An engineer is trying to connect to a device with SSH but cannot connect. The engineer connects by using the console and finds the displayed output when troubleshooting. Which command must be used in configuration mode to enable SSH on the device?
A. crypto key generate rsa
B. ip ssh version 2
C. no ip ssh disable
D. ip ssh enable
Answer: A

NEW QUESTION: 2
A table named Profits stores the total profit made each year within a territory. The Profits table has columns named Territory, Year, and Profit.
You need to create a report that displays the profits made by each territory for each year and its previous year.
Which Transact-SQL query should you use?
A. SELECT Territory, Year, Profit, LEAD(Profit, 1, 0) OVER (PARTITION BY Territory ORDER BY Year) AS PreviousYearProfit FROM Profits
B. SELECT Territory, Year, Profit, LAG(Profit, 1, 0) OVER (PARTITION BY Territory ORDER BY Year) AS PreviousYearProfit FROM Profits
C. SELECT Territory, Year, Profit, LAG(Profit, 1, 0) OVER (PARTITION BY Year ORDER BY Territory) AS PreviousYearProfit FROM Profits
D. SELECT Territory, Year, Profit, LEAD(Profit, 1, 0) OVER (PARTITION BY Year ORDER BY Territory) AS PreviousYearProfit FROM Profits
Answer: B
Explanation:
Explanation
LAG accesses data from a previous row in the same result set without the use of a self-join in SQL Server
2016. LAG provides access to a row at a given physical offset that comes before the current row. Usethis analytic function in a SELECT statement to compare values in the current row with values in a previous row.
Use ORDER BY Year, not ORDER BY Territory.
Example: The following example uses the LAG function to return the difference in sales quotas fora specific employee over previous years. Notice that because there is no lag value available for the first row, the default of zero (0) is returned.
USE AdventureWorks2012;
GO
SELECT BusinessEntityID, YEAR(QuotaDate) AS SalesYear, SalesQuota AS CurrentQuota, LAG(SalesQuota, 1,0) OVER (ORDER BY YEAR(QuotaDate)) AS PreviousQuota FROM Sales.SalesPersonQuotaHistory WHERE BusinessEntityID = 275 and YEAR(QuotaDate) IN ('2005','2006');

NEW QUESTION: 3
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesen Abschnitten beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie optimieren die Leistung einer virtuellen Maschine, die eine Microsoft SQL Server-Instanz hostet.
Die virtuelle Maschine hatte ursprünglich vier CPU-Kerne und verfügt nun über 32 CPU-Kerne.
Die SQL Server-Instanz verwendet die Standardeinstellungen und verfügt über eine OLTP-Datenbank mit dem Namen db1. Die größte Tabelle in db1 ist eine Schlüsselwertspeichertabelle mit dem Namen table1.
Mehrere Berichte verwenden die PIVOT-Anweisung und greifen auf mehr als 100 Millionen Zeilen in Tabelle1 zu.
Sie stellen fest, dass beim Ausführen der Berichte PAGELATCH_IO auf den PFS-Seiten 2: 1: 1, 2: 2: 1, 2: 3: 1 und 2: 4: 1 in der Tempdb-Datenbank wartet.
Sie müssen verhindern, dass die PAGELATCH_IO-Wartezeiten auftreten.
Lösung: Sie fügen weitere Tempdb-Datenbanken hinzu.
Erfüllt dies das Ziel?
A. Ja
B. Nein
Answer: B
Explanation:
Explanation
From SQL Server's perspective, you can measure the I/O latency from sys.dm_os_wait_stats. If you consistently see high waiting for PAGELATCH_IO, you can benefit from a faster I/O subsystem for SQL Server.A cause can be poor design of your database - you may wish to split out data located on 'hot pages', which are accessed frequently and which you might identify as the causes of your latch contention. For example, if you have a currency table with a data page containing 100 rows, of which 1 is updated per transaction and you have a transaction rate of 200/sec, you could see page latch queues of 100 or more. If each page latch wait costs just 5ms before clearing, this represents a full half-second delay for each update. In this case, splitting out the currency rows into different tables might prove more performant (if less normalized and logically structured).
References: https://www.mssqltips.com/sqlservertip/3088/explanation-of-sql-server-io-and-latches/