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NEW QUESTION: 1

Refer to the exhibit. A customer currently has a large EIGRP based network with several remote sites attached.
All remote sites connect to the two Corporate data centers, depicted as 10.1.1.0 and 10.1.2.O. The customer has experienced several network wide failures where neighbours were stuck in active and had other network stabilitty issues due to some links flapping. Which two redesign options increase network stability and reduce the load on the remote site routers, while still maintaining optimal routing between remote sites and the two data centers? (Choose two)
A. Perform summarization at the data centers, selectively leaking routes sent to the remote sites
B. Increase the hold interval to accommodate lost hello packets on error prone links
C. Set the hello interval timer to be larger than the hold interval
D. Perform summarization at the remote sites, selectively leaking route's sent to the data centers
E. Set the data center routers as stub routers
Answer: A,E

NEW QUESTION: 2
다음 중 어떤 유형의 제어가 정보 보안 사고에 대한 근본 원인 분석을 가장 용이하게 합니까?
A. 지시어
B. 예방
C. 수정
D. 형사
Answer: B

NEW QUESTION: 3
A customer needs to offload disk VO caused try nightly backups from their production HPE 3PAR StoreServ Disk Array,
They have two other HPE 3PAR Disk Arrays. One is located at their disaster recovery (DR) site located
300 km away, and the other is used for their Test/Dev environment located in the same datacenter.
What should you recommend to accomplish this? (Choose two.)
A. Create a snapshot of the replicated volumes on the Test/Dev array and present to the backup system.
B. Set up HPE 3PAR synchronous replication between the production and Test/Dev disk arrays.
C. Create a snapshot of the replicated volumes on the production array and present to the backup system,
D. Set up HPE 3PAR synchronous replication between the production and DR disk arrays.
E. Set up HPE 3PAR enhanced asynchronous replication between the production and DR disk arrays.
Answer: A,D
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
Your team needs to build a model that predicts whether images contain a driver's license, passport, or credit card. The data engineering team already built the pipeline and generated a dataset composed of 10,000 images with driver's licenses, 1,000 images with passports, and 1,000 images with credit cards. You now have to train a model with the following label map: ['driversjicense', 'passport', 'credit_card']. Which loss function should you use?
A. Binary cross-entropy
B. Categorical cross-entropy
C. Categorical hinge
D. Sparse categorical cross-entropy
Answer: A