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NEW QUESTION: 1
HOTSPOT
Answer:
Explanation:
NEW QUESTION: 2
회사는 온 프레미스 환경을 AWS로 마이그레이션해야 하는 마감 기한이 촉박했습니다. 가상 머신 가져 오기 / 내보내기 서비스를 사용하여 Microsoft SQL Server 및 Microsoft Windows Server 위로 이동 한 후 클라우드 고유의 다른 애플리케이션을 다시 빌드했습니다. 팀은 Amazon EC2 데이터베이스를 모두 생성하고 Amazon RDS를 사용했습니다.
회사의 각 팀은 응용 프로그램 마이그레이션을 담당했으며 리소스 격리를 위한 개별 계정을 만들었습니다. 회사는 비용을 고려할 시간이 많지 않았지만 이제는 AWS 지출을 줄이는 제안을 하고 싶습니다.
솔루션 아키텍트는 비용을 줄이기 위해 어떤 단계를 수행해야 합니까?
A. 비용 탐색기 및 AWS 비즈니스 지원 예약 Amazon EC2 및 Amazon RDS DB 인스턴스를 활성화 합니다. 모니터링 및 비용 절감 제안을 받으려면 Amazon CloudWatch 및 AWS Trusted Advisor를 사용하십시오. 조직 아래에 마스터 계정을 만들고 팀이 통합 결제에 참여하게 합니다.
B. AWS 비즈니스 지원을 활성화하고 AWS Trusted Advisor의 비용 확인을 검토하십시오. 변동하는 수요가 발생하는 애플리케이션을 위해 Amazon EC2 Auto Scaling 그룹을 생성하십시오. 트렌드 분석을 위해 Amazon S3에 AWS Simple Monthly Calculator 보고서를 저장하십시오. 조직에서 마스터 계정을 만들고 팀을 구성하여 결제 통합을 하도록 합니다.
C. Amazon CloudWatch 경보에 따라 인스턴스 크기를 변경하는 AWS Lambda 함수를 생성하십시오.
AWS Simple Monthly Calculator 제안을 기반으로 인스턴스를 예약하십시오. AWS Well-Architected 프레임 워크를 검토하고 권장 사항을 적용하십시오. 조직 아래에 마스터 계정을 만들고 팀이 통합 결제에 참여하게 합니다.
D. 예산을 작성하고 예산을 초과하는 비용을 모니터하십시오. 변동하는 수요가 발생하는 애플리케이션을 위해 Amazon EC2 Auto Scaling 그룹을 생성하십시오. Amazon CloudWatch 경보를 기반으로 인스턴스 크기를 변경하는 AWS Lambda 함수를 생성하십시오. 각 팀이 팀 지출 분석을 위해 청구서를 Amazon S3 버킷에 업로드하도록 합니다. 야간 일괄 처리 작업에서 스팟 인스턴스를 사용하십시오.
Answer: A
NEW QUESTION: 3
Flowlogistic is rolling out their real-time inventory tracking system. The tracking devices will all send package-tracking messages, which will now go to a single Google Cloud Pub/Sub topic instead of the Apache Kafka cluster. A subscriber application will then process the messages for real-time reporting and store them in Google BigQuery for historical analysis. You want to ensure the package data can be analyzed over time.
Which approach should you take?
A. Use the NOW () function in BigQuery to record the event's time.
B. Attach the timestamp on each message in the Cloud Pub/Sub subscriber application as they are received.
C. Attach the timestamp and Package ID on the outbound message from each publisher device as they are sent to Clod Pub/Sub.
D. Use the automatically generated timestamp from Cloud Pub/Sub to order the data.
Answer: C
Explanation:
Topic 3, MJTelco Case Study
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
Ensure secure and efficient transport and storage of telemetry data
Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately 100m records/day Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure.
We also need environments in which our data scientists can carefully study and quickly adapt our models.
Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis. Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
NEW QUESTION: 4
Various desktop computers are not getting a link light even though the patch cables were replaced. Cables on a 110-block patch panel are suspected to be causing the issues. Which of the following hardware tools would MOST likely be used to troubleshoot and
resolve the issue? (Select TWO).
A. Toner probe
B. Crimper
C. Ping command
D. Cable certifier
E. Punch down tool
Answer: D,E