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NEW QUESTION: 1
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 questions 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.
A company plans to use Operations Management Suite (OMS) to track changes within virtual machines (VMs).
The company required that data collection occur at least every 15 minutes.
You need to recommend a solution to monitor VMs which ensures that data collection occurs at least every
15 minutes.
Solution: Monitor registry keys on Windows VMs.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
You can use the Change Tracking solution to easily identify changes in your environment. The solution tracks changes to Windows and Linux software, Windows and Linux files, Windows registry keys, Windows services, and Linux daemons. Identifying configuration changes can help you pinpoint operational issues.
References: https://docs.microsoft.com/en-us/azure/log-analytics/log-analytics-change-tracking

NEW QUESTION: 2
As the LANDesk?Administrator, you notice that scan files are building up in the
LDSCAN\ERRORSCAN folder on the Core Server. You also have to restart the LANDesk
Inventory Server service several times each day. What are two ways to solve this problem?
(Choose two.)
A. set the registry key "Store Scans" to 0 on the Core Server
B. set the registry key "DB Error Recovery Tries" to 1000 on the Core Server
C. update all clients to the latest inventory scanner
D. set the registry key "Do DB" to 1 on the Core Server
Answer: B,C

NEW QUESTION: 3
You have an Azure web app named App1 that contains the following autoscale conditions. The default auto created scale condition has a scale mode that has Scale to a specific instance count set to 2.
Scale condition 1 has the following configurations:
* Scale mode: Scale to a specific instance count
* Instance count 3
* Schedule: Specify start/end dates
* Start date: August 1. 2019.06:00
* End date: September 1.2019, 18:00
Scale condition 2 has the following configurations:
* Scale mode: Scale to a specific instance count
* Instance count 4
* Schedule: Repeat specific days
* Repeat every: Monday
* Start time: 06:00
* End time: 18:00
Scale condition 3 has the following configurations.

Answer:
Explanation:

Explanation:
Box 1: 5
Scale condition 1, Scale condition 2, and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
Box 2: 5
Scale condition 1 does not apply as its end date is exceeded.
Scale condition 2 and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
When you configure multiple policies and rules, they could conflict with each other. Autoscale uses the following conflict resolution rules to ensure that there is always a sufficient number of instances running:
* Scale-out operations always take precedence over scale-in operations.
* When scale-out operations conflict, the rule that initiates the largest increase in the number of instances takes precedence.
* When scale in operations conflict, the rule that initiates the smallest decrease in the number of instances takes precedence.
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/auto-scaling

NEW QUESTION: 4

A. Option B
B. Option C
C. Option A
D. Option D
Answer: A

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