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NEW QUESTION: 1
As part of planning for database consolidation, you grouped your databases into two categories based on different technical and business objectives.
Which three statements are true about possible configurations for your Exadata X6 Database Machine fabric?
A. Multiple database clusters may access the same storage grids.
B. A single database cluster benefits from accessing multiple storage grids.
C. The database grid may be partitioned when deploying a multirack Database Machine configuration.
D. The storage grid may be partitioned when deploying a single-rack Database Machine configuration using virtualization.
E. Multiple database clusters never benefit from accessing a single storage grid.
Answer: A,B,C
NEW QUESTION: 2
Which command should be used on the Cisco FTD CLI to capture all the packets that hit an interface?
A. configure coredump packet-engine enable
B. capture WORD
C. capture-traffic
D. capture
Answer: C
NEW QUESTION: 3
The amount of data a company must back up has been increasing, and storage space is quickly running out.
There is no budget to purchase new backup software that is capable of backing up data directly to the cloud.
What is the MOST cost-effective way to make storage available to the company's legacy backup system?
A. Use AWS Snowball on a weekly basis to transfer data to Amazon Glacier
B. Use AWS Storage Gateway to present a VTL using iSCSI to the legacy application
C. Ship backup tapes to AWS for storage in secure AWS Availability Zones
D. Launch an Amazon EC2 instance, add large Amazon EBS volumes, and connect using VPN
Answer: B
NEW QUESTION: 4
What are the benefits of using Netflow? (Choose three.)
A. Network, Application & User Monitoring
B. Network Planning
C. Accounting/Billing
D. Security Analysis
Answer: A,C,D
Explanation:
NetFlow traditionally enables several key customer applications including:
+ Network Monitoring - NetFlow data enables extensive near real time network monitoring capabilities. Flow-based 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, time-based, 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.
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