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NEW QUESTION: 1
What are the benefit of using Netflow? (Choose three.)
A. Network Planning
B. Accounting/Billing
C. Network, Application & User Monitoring
D. Security Analysis
Answer: B,C,D
Explanation:
NetFlow Definitions and Benefits
http://www.cisco.com/en/US/products/sw/netmgtsw/ps1964/products_implementation_design_gui de09186a00800d6a11.html#wp1030045 NetFlow traditionally enables several key customer applications including:
Network Monitoring--NetFlow data enables extensive near real time network monitoring capabilities. Flowbased analysis techniques may be utilized to visualize traffic patterns associated with individual routers and switches as well as on a network-wide basis (providing aggregate traffic or application based views) to provide proactive problem detection, efficient troubleshooting, and rapid problem resolution.
Application Monitoring and Profiling--NetFlow data enables network managers to gain a detailed, timebased, view of application usage over the network. This information is used to plan, understand new services, and allocate network and application resources (e.g. Web server sizing and VoIP deployment) to responsively meet customer demands.
User Monitoring and Profiling--NetFlow data enables network engineers to gain detailed understanding of customer/user utilization of network and application resources. This information may then be utilized to efficiently plan and allocate access, backbone and application resources as well as to detect and resolve potential security and policy violations.
Network Planning--NetFlow can be used to capture data over a long period of time producing the opportunity to track and anticipate network growth and plan upgrades to increase the number of routing devices, ports, or higher- bandwidth interfaces. NetFlow services data optimizes network planning including peering, backbone upgrade planning, and routing policy planning. NetFlow helps to minimize the total cost of network operations while maximizing network performance, capacity, and reliability. NetFlow detects unwanted WAN traffic, validates bandwidth and Quality of Service (QOS) and allows the analysis of new network applications.
NetFlow will give you valuable information to reduce the cost of operating your network.
Security Analysis--NetFlow identifies and classifies DDOS attacks, viruses and worms in real- time. Changes in network behavior indicate anomalies that are clearly demonstrated in NetFlow data. The data is also a valuable forensic tool to understand and replay the history of security incidents.
Accounting/Billing--NetFlow data provides fine-grained metering (e.g. flow data includes details such as IP addresses, packet and byte counts, timestamps, type-of-service and application ports, etc.) for highly flexible and detailed resource utilization accounting. Service providers may utilize the information for billing based on time-of-day, bandwidth usage, application usage, quality of service, etc. Enterprise customers may utilize the information for departmental charge-back or cost allocation for resource utilization.
NetFlow Data Warehousing and Data Mining--NetFlow data (or derived information) can be warehoused for later retrieval and analysis in support of proactive marketing and customerservice programs (e.g. figure out which applications and services are being utilized by internal and external users and target them for improved service, advertising, etc.). In addition, NetFlow data gives Market Researchers access to the "who", "what", "where", and "how long" information relevant to enterprises and service providers.
NEW QUESTION: 2
Bei der Entwicklung eines Business Continuity Plan (BCP) ist die Einbeziehung des Geschäftsbereichsmanagements während des
A. Durchführung einer IS-Risikobewertung
B. Durchführung einer Business Impact Analysis (BIA)
C. Entwicklung von Verfahren zur Wiederherstellung von Unternehmen
D. Implementierung eines Dokumentrepositorys
Answer: B
NEW QUESTION: 3
Which of the wireless protocol mainly used for wireless bridging is?
A. 802.11a
B. 802.11n
C. 802.11b
D. 802.11g
Answer: A
NEW QUESTION: 4
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent
months your application has increased in popularity; this has resulted in a decrease in the performance of the
application due to the increased load. Your application has a two-tier architecture that is composed of an Auto
Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS CloudFormation. Your
Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 due to the high
CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from
a constraint in CPU capacity, while memory utilization remains low. You therefore decide to move from the
general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change
while minimizing any interruption to your end users?
A. Signin to the AWS Management Console, copy the old launch configuration, and createa new launch
configuration that specifies the C3 instances. Update the AutoScaling group with the new launch
configuration. Auto Scaling will then updatethe instance type of all running instances
B. Signinto the AWS Management Console and update the existing launch configurationwith the new C3
instance type. Add an UpdatePolicy attribute to your AutoScaling group that specifies an AutoScaling
RollingUpdate.
C. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3
instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies an
AutoScalingRollingUpdate. Run a stack update with thenew template
D. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3
instance type. Run a stack update with the new template. Auto Scalingwill then update the instances
with the new instance type.
Answer: C
Explanation:
Explanation
The AWS Documentation mentions the below
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePolicy attribute. This is used to
define how an Auto Scaling group resource is updated when
an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to
perform a rolling update, which is done by specifying
the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances
with new ones, according to the parameters specified.
For more information on Rolling Updates for Autoscaling please see the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/