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NEW QUESTION: 1
Which three statements about HSRP operation are true? (Choose three.)
A. The HSRP default timers are 3 second hello interval and a 10 second dead interval.
B. HSRP supports up to 255 groups per interface, enabling an administrative form of load balancing.
C. HSRP supports only clear-text authentication.
D. The virtual IP address and virtual MAC address are active on the HSRP Master router.
E. The HSRP virtual IP address must be on a different subnet than the routers' interfaces on the same LAN.
F. The HSRP virtual IP address must be the same as one of the router's interface addresses on the LAN.
Answer: A,B,D
Explanation:
The virtual MAC address of HSRP version 1 is 0000.0C07.ACxx, where xx is the HSRP group number in hexadecimal based on the respective interface. For example, HSRP group 10 uses the HSRP virtual MAC address of 0000.0C07.AC0A. HSRP version 2 uses a virtual MAC address of 0000.0C9F.FXXX (XXX:HSRP group in hexadecimal) All routers in a HSRP group send hello packets. By default, the hello timer is set to 3 seconds and the dead interval is 10 seconds. The range for HSRP version 1 is from 0 to 255. The range is for HSRP version 2 is from 0 to 4095. The default value is 0. For this question, it is assumed that Cisco is referring to HSRP version 1 as the other options are not correct.

NEW QUESTION: 2
Which Routing protocol that provides unequal cost path with different metrics for load balancing purpose
A. RIP
B. BGP
C. ISIS
D. Eigrp
E. Ospf
Answer: D
Explanation:
Traffic Sharing
EIGRP not only provides unequal cost path load balancing, but also intelligent load balancing, such as traffic sharing.
In order to control how traffic is distributed among routes when there are multiple routes for the same destination network that have different costs, use the traffic-share balanced command.
With the keyword balanced, the router distributes traffic proportionately to the ratios of the metrics that are associated with different routes.

NEW QUESTION: 3
CSMA / CDアクセス方法の操作を説明する2つのステートメントはどれですか？ （2つ選択してください。）
A. CSMA / CDcollisionドメインでは、複数のステーションが同時にデータを正常に送信できます。
B. 衝突後、すべてのステーションはランダムバックオフアルゴリズムを実行します。バックオフ遅延期間が終了すると、すべてのステーションはデータを送信するために同じ優先度を持ちます。
C. ハブを使用して衝突ドメインのサイズを拡大することは、CSMA / CDアクセス方式の動作を改善する1つの方法です。
D. CSMA / CD衝突ドメインでは、ステーションは送信する前にメディアが使用されなくなるまで待機する必要があります。
E. 衝突後、衝突を検出したステーションは、失われたデータを再送信する優先順位が最も高くなります。
F. 衝突後、関係するすべてのステーションは同一のバックオフアルゴリズムを実行し、データを送信する前に互いに同期します。
Answer: B,D

NEW QUESTION: 4
Your current log analysis application takes more than four hours to generate a report of the top 10 users of
your web application. You have been asked to implement a system that can report this information in real
time, ensure that the report is always up to date, and handle increases in the number of requests to your web
application. Choose the option that is cost-effective and can fulfill the requirements.
A. Publish your log data to an Amazon S3 bucket. Use AWS CloudFormation to create an Auto
Scalinggroup to scale your post-processing application which is configured to pull down your log files
stored an Amazon S3.
B. Post your log data to an Amazon Kinesis data stream, and subscribe your log-processing application so
that is configured to process your logging data.
C. Create a multi-AZ Amazon RDS MySQL cluster, post the logging data to MySQL, and run a map
reduce job to retrieve the required information on user counts.
D. Publish your data to Cloud Watch Logs, and configure your application to autoscale to handle the load
on demand.
Answer: B
Explanation:
Explanation
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time.
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely
insights and react quickly to new information. Amazon
Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility
to choose the tools that best suit the requirements of
your application. With Amazon Kinesis, you can ingest real-time data such as application logs, website
clickstreams, loT telemetry data, and more into your
databases, data lakes and data warehouses, or build your own real-time applications using this data.
For more information on Amazon Kinesis, please visit the below URL:
* https://aws.amazon.com/kinesis