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NEW QUESTION: 1
エンジニアがVMware向けCisco Firepower NGlPSvを展開しています。この展開中にサポートされない2つの側面はどれですか？ （2つ選択）
A. VMwareツール
B. バックアップの復元
C. 仮想マシンのクローン作成
D. vCloud Director
E. vCenter
Answer: B,C
Explanation:
Explanation
Explanation/Reference
The following limitations exist when deploying Firepower NGIPSv for VMware:
*vMotion is not supported.
*Cloning a virtual machine is not supported.
*Restoring a virtual machine with snapshot is not supported.
*Restoring a backup is not supported.
https://www.cisco.com/c/en/us/td/docs/security/firepower/60/quick_start/ngips_virtual/NGIPS v-quick/intro-ngipsv.html

NEW QUESTION: 2
Which statement about deployment policies with the Firepower Management Center is true?
A. The leaf domain can deploy changes to all subdomains simultaneously
B. Polices are deployed automatically when the administrator saves them
C. The global domain can deploy changes to individuals subdomains
D. Deploy tasks can be scheduled to deploy polices automatically
E. All policies are deployed on-demand when the administrator triggers them
Answer: D

NEW QUESTION: 3
Many employees are receiving email messages similar to the one shown below:
From IT department
To employee
Subject email quota exceeded
Pease click on the following link http:www.website.info/email.php?quota=1Gb and provide your username and password to increase your email quota. Upon reviewing other similar emails, the security administrator realized that all the phishing URLs have the following common elements; they all use HTTP, they all come from .info domains, and they all contain the same URI. Which of the following should the security administrator configure on the corporate content filter to prevent users from accessing the phishing URL, while at the same time minimizing false positives?
A. Redirect http://www,*. Info/email.php?quota=*TOhttp://company.com/corporate_polict.html
B. BLOCK http://www.*.info/"
C. DENY http://*.info/email.php?quota=1Gb
D. DROP http://"website.info/email.php?*
Answer: C

NEW QUESTION: 4
A manufacturing company captures data from machines running at customer sites. Currently, thousands of
machines send data every 5 minutes, and this is expected to grow to hundreds of thousands of machines
in the near future. The data is logged with the intent to be analyzed in the future as needed.
What is the SIMPLEST method to store this streaming data at scale?
A. Create an Amazon SQS queue, and have the machines write to the queue.
B. Create an Amazon EC2 server farm behind an ELB to store the data in Amazon EBS Cold HDD
volumes.
C. Create an Amazon Kinesis Firehouse delivery stream to store the data in Amazon S3.
D. Create an Auto Scaling group of Amazon EC2 servers behind ELBs to write the data into Amazon
RDS.
Answer: D