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NEW QUESTION: 1
展示を参照してください。
SwitchCはHRとSalesをコアスイッチに接続します。ただし、ビジネスニーズでは、Finance VLANからのトラフィックがこのスイッチを通過しないようにする必要があります。どのコマンドがこの要件を満たしていますか？ A）
B）
C）
D）
A. オプションA
B. オプションC
C. オプションD
D. オプションB
Answer: C
NEW QUESTION: 2
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You maintain a Microsoft SQL Server instance that contains the following databases SalesDb1, SalesDb2, and SalesDb3. Each database has tabled named Products and Sales. The following table shows the configuration of each database.
The backup strategies for each database are described in the following table.
Each full or differential backup operation writes into a new file and uses a different sequence number. You observe the following database corruption issues.
SalesDb3 reports a number of database corruption issues related to error 823 and 824 when reading data pages. You must display the following information about the corrupted pages:
database name
impacted file id
impacted file physical name
impacted page id
event type that identifies the error type
error count
Users report performance issues when they run queries against SalesDb2. You plan to monitor query statistics and execution plans for SalesDb2 by using Query Store. The monitoring strategy must meet the following requirements:
Perform automatic data cleanup when query store disk usage reaches 500 megabyte (MB).
Capture queries based on resource consumption.
Use a stale query threshold value of 60 days.
The query optimizer generates suboptimal execution plans for a number of queries on the Sales table in SalesDb2. You will create a maintenance plan that updates statistics for the table. The plan should only update statistics that were automatically created and have not been updated for 30 days. The update should be based on all data in the table.
You need to view the information about the corrupted pages on SalesDb3.
How should you complete the Transact-SQL statement?
Select two.
A. WHERE event_type = 1
B. SELECT * FROM msdb..suspect_pages
C. WHERE event_type = 2
D. WHERE event_type = 3
E. SELECT * FROM system..suspect_pages
F. SELECT * FROM system..corrupted_pages
G. SELECT * FROM msdb.. corrupted_pages
Answer: B,C
Explanation:
Explanation/Reference:
suspect_pages contains one row per page that failed with a minor 823 error or an 824 error. Pages are listed in this table because they are suspected of being bad, but they might actually be fine. When a suspect page is repaired, its status is updated in the event_type column.
The suspect_pages table resides in the msdb database.
SalesDb3 has pages with checksum errors. Checksum errors have the event_type value 2.
References: https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/manage-the- suspect-pages-table-sql-server
NEW QUESTION: 3
What is the status of OS Identification?
A. It is only enabled to identify "Cisco IOS" OS using statically mapped OS fingerprinting
B. OS mapping information will not be used for Risk Rating calculations.
C. It is enabled for passive OS fingerprinting for all networks.
D. It is configured to enable OS mapping and ARR only for the 10.0.0.0/24 network.
Answer: C
Explanation:
Explanation
Understanding Passive OS Fingerprinting
Passive OS fingerprinting lets the sensor determine the OS that hosts are running. The sensor analyzes network traffic between hosts and stores the OS of these hosts with their IP addresses. The sensor inspects TCP SYN and SYNACK packets exchanged on the network to determine the OS type.
The sensor then uses the OS of the target host OS to determine the relevance of the attack to the victim by computing the attack relevance rating component of the risk rating. Based on the relevance of the attack, the sensor may alter the risk rating of the alert for the attack and/or the sensor may filter the alert for the attack.
You can then use the risk rating to reduce the number of false positive alerts (a benefit in IDS mode) or definitively drop suspicious packets (a benefit in IPS mode). Passive OS fingerprinting also enhances the alert output by reporting the victim OS, the source of the OS identification, and the relevance to the victim OS in the alert.
Passive OS fingerprinting consists of three components:
*Passive OS learning
Passive OS learning occurs as the sensor observes traffic on the network. Based on the characteristics of TCP SYN and SYNACK packets, the sensor makes a determination of the OS running on the host of the source IP address.
*User-configurable OS identification
You can configure OS host mappings, which take precedence over learned OS mappings.
*Computation of attack relevance rating and risk rating.
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