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NEW QUESTION: 1
What attack is primarily based on the fragmentation implementation of IP and large ICMP packet size?
A. Ping of Death
B. Exhaustive
C. Brute force
D. Spoofing
Answer: A
Explanation:
Ping of Death -- This exploit is based on the fragmentation implementation of IP whereby large packets are reassembled and can cause machines to crash. 'Ping of Death takes advantage of the fact that it is possible to send an illegal ICMP Echo packet with more than the allowable 65, 507 octets of data because of the way fragmentation is performed. A temporary fix is block ping packets. Ideally, an engineer should secure TCP/IP from overflow when reconstructing IP fragments.

NEW QUESTION: 2
You need to recommend a solution that meets the security requirements for protecting users.
What should you recommend?
A. From the Security & Compliance admin center, create an ATP safe attachments policy.
B. From the Security & Compliance admin center, create an ATP Safe Links policy.
C. From the Exchange admin center in Exchange Online, create a spam filter policy.
D. From the Security & Compliance admin center, create an ATP anti-phishing policy.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/office365/securitycompliance/set-up-atp-safe-links-policies

NEW QUESTION: 3
You have a database named DB1 that contains millions of rows.
You plan to perform a weekly audit of the changes to the rows.
You need to ensure that you can view which rows were modified and the hour that the modification occurred.
What should you do?
A. Enable change data capture.
B. Configure Stretch Database.
C. Enable Policy-Based Management
D. Configure an SSIS database.
Answer: A
Explanation:
Explanation
SQL Server 2017 provides two features that track changes to data in a database: change data capture and change tracking.
Change data capture provides historical change information for a user table by capturing both the fact that DML changes were made and the actual data that was changed. Changes are captured by using an asynchronous process that reads the transaction log and has a low impact on the system.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/track-changes/track-data-changes-sql-server