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NEW QUESTION: 1
Refer to the exhibit. If the given network is in the process of being migrated from EIGRP to OSPF, includes external routes, and all routers are currently running both protocols, what action must you perform to complete the migration?
A. Change the EIGRP Administrative Distance to 111, wait until all routers are presents, and then change it back to the default value.
B. Change the IEGRP Administrative Distance to match the OSPF Administrative Distance, wait until all routers are present, and then change EIGRP Administrative Distance back to the default value.
C. Change the OSPF Administrative Distance to 172, wait until all routers are present, and then change it back to the default value.
D. Change the OSPF Administrative Distance to 91, wait until all routers are present, and then change it back the default value.
Answer: C
NEW QUESTION: 2
회사는 오리건, 버지니아, 아일랜드 및 시드니 AWS 지역에서 전자 상거래 웹 사이트 포트폴리오를 호스팅합니다. 각 사이트는 사용자 동작을 캡처하는 로그 파일을 유지합니다. 이 회사는 Oregon의 협업 필터링을 통해 일련의 제품 권장 사항을 생성하는 애플리케이션을 구축했습니다. 주력 사이트가 호스팅되고 기계 학습 모델을 교육하기 위해 가장 큰 데이터 수집을 제공하기 때문에 오레곤이 선정되었습니다. 다른 지역에는 정확한 머신 러닝 모델을 훈련시키기에 충분한 과거 데이터가 없습니다.
각 지역의 권장 사항을 개선하는 데이터 처리 단계는 무엇입니까?
A. Amazon S3 버킷 복제를 사용하여 오레곤에서 로그 항목을 통합하고 단일 모델을 구축
B. CloudWatch Logs 에이전트를 사용하여 로그를 단일 CloudWatch logs 그룹으로 통합
C. 오레곤의 전자 상거래 응용 프로그램을 사용하여 서로 다른 지역에 복제 로그 파일을 작성하십시오.
D. Kinesis를 웹 로그의 버틀러로 사용하고 로그를 인접 지역의 Kinesis 스트림에 복제
Answer: B
Explanation:
설명
https://cloudacademy.com/blog/centralized-log-management-with-aws-cloudwatch-part-1-of-3/
NEW QUESTION: 3
あなたは以下のパラメータをパラメータ・ファイルでセットして、データベース例を再開します:
どの2つのステートメントが真実であるか？
A. Automatic Memory Management（AMM）が許可されたが、PGA_AGGREGATE_TARGETであるので、例は動き出しません、そして、SGA_TARGETパラメータはゼロ以外の値に設定されます.
B. データベースインスタンスのMEMORY_MAX_TARGETパラメータの値はゼロのままです.
C. PGA_AGGREGATE_TARGETおよびSGA_TARGETパラメータの下限は、90 MBおよび270 MBに設定されています。
D. PGA_AGGREGATE_TARGETとSGA_TARGETパラメータは、ゼロに自動的に設定されます.
E. MEMORY_MAX_TARGETパラメータは、500MBに自動的に設定されます。
Answer: C,E
NEW QUESTION: 4
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games.
Considering the Mountkirk Games business and technical requirements, what should you do?
A. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
B. Create a global load balancer with managed instance groups and autoscaling policies. Use non- preemptible Compute Engine instances.
C. Create network load balancers. Use non-preemptible Compute Engine instances.
D. Create network load balancers. Use preemptible Compute Engine instances.
Answer: A