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NEW QUESTION: 1
There are 15 points in a plane, out of which 6 are collinear. How many pentagons can be drawn with
these points?
A. 0
B. 1
C. 3003
D. 2
E. 3
Answer: A

NEW QUESTION: 2
-- Exhibit -user@router# run show route advertising-protocol bgp 192.168.12.1
user@router# run show route
inet.0: 11 destinations, 12 routes (11 active, 0 holddown, 0 hidden)
+ = Active Route, - = Last Active, * = Both
2.2.2.2/32 *[Direct/0] 3w6d 03:57:51 > via lo0.0
192.168.12.0/24 *[Direct/0] 01:07:34 > via xe-0/0/0.0
192.168.12.2/32 *[Local/0] 01:07:34 Local via xe-0/0/0.0
200.1.0.0/16 *[Aggregate/130] 00:00:58 Reject [IS-IS/165] 00:10:57, metric 10 > to 200.1.1.2 via xe-0/0/3.0
200.1.1.0/24 *[Direct/0] 00:29:21 > via xe-0/0/3.0
200.1.1.1/32 *[Local/0] 00:29:21 Local via xe-0/0/3.0
iso.0: 1 destinations, 1 routes (1 active, 0 holddown, 0 hidden)
+ = Active Route, - = Last Active, * = Both
49.0000.0020.0200.2002/72
*[Direct/0] 3w4d 21:07:32 > via lo0.0
inet6.0: 3 destinations, 4 routes (3 active, 0 holddown, 0 hidden)
+ = Active Route, - = Last Active, * = Both
2:2:2::2/128 *[Direct/0] 3w4d 21:22:24
> via lo0.0
[edit]
user@router# show policy-options
policy-statement adv-route {
term t1 {
from {
protocol isis;
route-filter 200.1.0.0/16 exact;
}
then accept;
}
term t2 {
then reject;
}
}
[edit]
user@router# show protocols bgp
group ebgp {
type external;
export adv-route;
neighbor 192.168.12.1 {
peer-as 65000;
}
}
-- Exhibit --
Click the Exhibit button.
Referring to the exhibit, why is the 200.1.0.0/16 prefix failing to be advertised in BGP?
A. BGP needs a next-hop self policy.
B. The aggregate route is set to reject.
C. The IS-IS route is less preferred than the aggregate route.
D. The policy works for internal BGP only.
Answer: C

NEW QUESTION: 3
애플리케이션이 테라 바이트 규모의 데이터 처리를 지원해야 합니다. 어떤 큰 데이터 도구를 사용할 수 있습니까?
정답을 선택하십시오.
A. 스파크가있는 Amazon EMR
B. Amazon Machine Learning
C. Amazon Data Pipeline
D. Amazon Redshift
Answer: A
Explanation:
설명:
Amazon ML은 최대 100GB의 데이터를 지원할 수 있지만 현재 테라 바이트 규모의 데이터 처리는 지원되지 않습니다. Amazon EMR을 사용하여 Spark의 Machine Learning Library (MLlib)를 실행하는 것은 이러한 사용 사례를 위한 일반적인 도구입니다.
참고:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf