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NEW QUESTION: 1
What is reviewed first in the BGP route selection process?
A. the route with an origin of incomplete
B. the next-hop resolution
C. the peer with the lowest IP address
D. the path with no MED value
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Understanding BGP Path Selection The algorithm for determining the active route is as follows: Etc.
Reference:
https://www.juniper.net/documentation/en_US/junos12.3/topics/reference/general/routing- ptotocols- address-representation.html

NEW QUESTION: 2
You have two groups of managers that need to hold Meet-Me conferences. You want each group to have access to a range of 10 Meet-Me numbers. What are the two best ways to accomplish this? (Choose two.)
A. Create two different groups of Meet-Me conference numbers, add them to the <None> partition, and add the <None> partition to the two manager groups to provide limited access.
B. Create a different partition for each group of managers and assign a set of 10 Meet-Me conference numbers to each.
C. Create two groups of 10 Meet-Me conference numbers that do not overlap with any other number in the numbering plan.
D. Ensure that the 10 Meet-Me conference numbers overlap with existing ad hoc conferencing numbers.
E. Create two different partitions and add both groups of 10 Meet-Me conference numbers to the partitions.
Answer: B,C
Explanation:
Explanation/Reference:
Link:
http://www.cisco.com/en/US/docs/voice_ip_comm/cucm/admin/8_5_1/ccmcfg/b03meet.htm Reference.
Cisco Unified Communications Manager Administration Guide Release 8.6(1), page-313.

NEW QUESTION: 3
AWS를 사용하여 회사에 안전한 백업 및 보관 솔루션을 설정해야 합니다. 문서는 3 개월 동안 즉시 액세스 할 수 있어야 하고 준수 이유 때문에 5 년 동안 사용할 수 있어야 합니다. 가장 비용 효율적인 방식으로 이러한 요구 사항을 충족하는 AWS 서비스는 무엇입니까? 정답을 선택하십시오.
선택 해주세요:
A. Storage Gateway를 사용하여 데이터를 S3에 저장하고 수명주기 정책을 사용하여 장기 보관을 위해 Redshift로 데이터를 이동하십시오.
B. S3에 데이터를 업로드하고 수명주기 정책을 사용하여 장기 보관을 위해 데이터를 Glacier로 이동하십시오.
C. EBS에 데이터를 업로드하고 수명주기 정책을 사용하여 장기 보관을 위해 EBS 스냅 샷을 S3로, 나중에 Glacier로 이동하십시오.
D. Direct Connect를 사용하여 S3에 데이터를 업로드하고 1AM 정책을 사용하여 장기 보관을 위해 Glacier로 데이터를 이동하십시오.
Answer: B
Explanation:
amazon Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup. Customers can reliably store large or small amounts of data for as little as $0,004 per gigabyte per month, a significant savings compared to on-premises solutions.
With Amazon lifecycle policies you can create transition actions in which you define when objects transition to another Amazon S3 storage class. For example, you may choose to transition objects to the STANDARDJA (IA, for infrequent access) storage class 30 days after creation, or archive objects to the GLACIER storage class one year after creation.
Option B is invalid because lifecycle policies are not available for EBS volumes Option C is invalid because 1AM policies cannot be used to move data to Glacier Option D is invalid because lifecycle policies is not used to move data to Redshif For more information on S3 lifecycle policies, please visit the URL:
http://docs.aws.amazon.com/AmazonS3/latest/dev/obiect-lifecycle-mgmt.html The correct answer is: Upload data to S3 and use lifecycle policies to move the data into Glacier for long-term archiving.
Submit your Feedback/Queries to our Experts

NEW QUESTION: 4
고객이 Amazon S3를 독점적으로 데이터 스토어로 사용하는 애플리케이션을 작성했습니다.
고객이 응용 프로그램이 정보를 업데이트하는 속도를 높일 때까지 응용 프로그램이 제대로 작동합니다. 고객은 이제 애플리케이션이 Amazon S3의 객체에 액세스 할 때 오래된 데이터가 가끔 나타난다고 보고합니다.
응용 프로그램 논리가 정확하다면 무엇이 문제가 될 수 있습니까?
A. 애플리케이션이 병렬 객체 요청을 사용하여 Amazon S3에서 객체를 읽고 있습니다.
B. 애플리케이션이 범위 헤더를 사용하여 Amazon S3에서 객체의 일부를 읽습니다.
C. 응용 프로그램이 고유 키로 새 개체를 작성하여 레코드를 업데이트하고 있습니다.
D. 응용 프로그램이 동일한 키로 기존 개체를 덮어 써서 레코드를 업데이트하고 있습니다.
Answer: D
Explanation:
Explanation
Amazon S3 offers eventual consistency for overwrite PUTS and DELETES in all Regions. Updates to a single key are atomic. For example, if you PUT to an existing key, a subsequent read might return the old data or the updated data, but it never returns corrupted or partial data. Amazon S3 achieves high availability by replicating data across multiple servers within AWS data centers. If a PUT request is successful, your data is safely stored. However, information about the changes must replicate across Amazon S3, which can take some time, and so you might observe the following behaviors: A process writes a new object to Amazon S3 and immediately lists keys within its bucket. Until the change is fully propagated, the object might not appear in the list.
https://docs.aws.amazon.com/AmazonS3/latest/dev/optimizing-performance.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/Introduction.html