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NEW QUESTION: 1
Which two statements about EIGRP load balancing are true? (Choose two)
A. EIGRP supports 6 unequal-cost paths
B. Any path in the EIGRP topology table can be used for unequal-cost load balancing
C. Cisco Express Forwarding is required to load-balance across interfaces
D. A path can be used for load balancing only if it is a feasible successor
E. EIGRP supports unequal-cost paths by default
Answer: A,D
Explanation:
EIGRP provides a mechanism to load balance over unequal cost paths (or called unequal cost load balancing) through the "variance" command. In other words, EIGRP will install all paths with metric < variance * best metric into the local routing table, provided that it meets the feasibility condition to prevent routing loop. The path that meets this requirement is called a feasible successor. If a path is not a feasible successor, it is not used in load balancing.
Note: The feasibility condition states that, the Advertised Distance (AD) of a route must be lower than the feasible distance of the current successor route.

NEW QUESTION: 2
The consideration of business outcomes and value creation are principles of which part of the
Service Lifecycle?
A. Continual Service Improvement
B. Service Strategy
C. Service Design
D. Service Transition
Answer: B

NEW QUESTION: 3
Which tool or utility is used to upgrade firmware on a Virtual Connect module?
A. Virtual Connect Manager (VCM)
B. System Insight Manager (SIM)
C. System Management Homepage (SMH)
D. Virtual Connect Support Utility (VCSU)
Answer: D
Explanation:
Building HP Server Solutions Learner Guide Module 5 HP OneView for Servers p. 17

NEW QUESTION: 4
A real-time bidding company is rebuilding their monolithic application and is focusing on serving real-time data. A large number of reads and writes are generated from thousands of concurrent users who follow items and bid on the company's sale offers.
The company is experiencing high latency during special event spikes, with millions of concurrent users.
The company needs to analyze and aggregate a part of the data in near real time to feed an internal dashboard.
What is the BEST approach for serving and analyzing data, considering the constraint of the row latency on the highly demanded data?
A. Use Amazon DynamoDB to store real-time data with Amazon DynamoDB. Accelerator to serve content quickly. use Amazon DynamoDB Streams to replay all changes to the table, process and stream to Amazon Elasti search Service with AWS Lambda.
B. Use Amazon Aurora with Multi Availability Zone and read replicas. Use Amazon ElastiCache in front of the read replicas to serve read-only content quickly. Use the same database as datasource for the dashboard.
C. Use Amazon RDS with Multi Availability Zone. Provisioned IOPS EBS volume for storage. Enable up to five read replicas to serve read-only content quickly. Use Amazon EMR with Sqoop to import Amazon RDS data into HDFS for analysis.
D. Use Amazon Redshift with a DC2 node type and a multi-mode cluster. Create an Amazon EC2 instance with pgpoo1 installed. Create an Amazon ElastiCache cluster and route read requests through pgpoo1, and use Amazon Redshift for analysis.
Answer: D

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