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NEW QUESTION: 1
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Funktionsebene der Gesamtstruktur und der Domäne ist Windows Server 2008 R2. Auf allen Servern in der Domäne wird der Windows Server 2016-Standard ausgeführt. Die Domäne enthält 100 Clientcomputer, auf denen entweder Windows 8.1 oder Windows 10 ausgeführt wird.
Die Domäne enthält neun Server, die wie in der folgenden Tabelle gezeigt konfiguriert sind.

Answer:
Explanation:

NEW QUESTION: 2
Which security feature is part of the HP Client Security Suite Gen3?
A. HP Sure View
B. HP Touchpoint Manager
C. HP Sure Start with Dynamic Protection
D. HP Device Access Manager
Answer: C
NEW QUESTION: 3
A security analyst has been asked to implement secure protocols to prevent cleartext credentials from being transmitted over the internal network. Which of the following protocols is the security analyst MOST likely to implement? (Select TWO).
A. SFTP
B. DNSSEC
C. S/MIME
D. SSH
E. SNMPv3
Answer: A,D
NEW QUESTION: 4
database1という名前のSQL Server 2012データベースがあります。
ユーザーは、実行に1秒以内、実行に30秒以上かかるクエリを報告します。
クエリが実行されたときのサーバーリソースの消費量を確認する必要があります。
あなたは何をするべきか?
答えるには、適切な行動を行動のリストから回答領域に移動し、正しい順序で並べます。
Answer:
Explanation:
Explanation:
Note:
* (step1, step 2) Both the Profiler trace and the Performance Monitor logs should be started and stopped at about the same time.
* (step 3, step 4) Once you have completed capturing the data for both tools, you are ready to perform the correlation analysis.
* (step 5) How to Correlate SQL Server Profiler Data with Performance Monitor Data Correlating Performance Monitor and Profiler data is a straightforward process that simply involves importing both sets of data into Profiler. Start Profiler and load the trace file you want to correlate.
From the main menu of Profiler, select File | Import Performance Data,
* With SQL Server Profiler, we have the tools to identify the causes of such spikes. We can import Performance Monitor log data and compare it directly with Profiler activity. If we see a spike in CPU utilization, we can identify which statement or statements were running at the same time, and diagnose potential problems.
