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NEW QUESTION: 1
사용자는 높은 점수 또는 새로운 기능을 추가하여 활성 사용자에게 알림을 보내는 EC2에서 모바일 게임을 호스팅 할 계획입니다. 사용자는 자신의 휴대 기기에서 온라인 상태 일 때이 알림을 받아야합니다. 다음 중이 기능을 구현하는데 도움이 되는 AWS 서비스는 무엇입니까?
A. AWS 단순 대기열 서비스.
B. AWS 단순 이메일 서비스.
C. AWS 이동 통신 서비스.
D. AWS 단순 알림 서비스.
Answer: D
Explanation:
설명:
Amazon SNS (Amazon Simple Notification Service)는 빠르고 유연하며 완전히 관리되는 푸시 메시지 서비스입니다. Amazon SNS를 사용하면 iPhone, iPad, Android, Kindle Fire 및 인터넷에 연결된 스마트 장치와 같은 모바일 장치로 푸시하고 다른 분산 서비스로 푸는 것이 간단하고 비용 효율적입니다.
참조 : http://aws.amazon.com/sns

NEW QUESTION: 2
Ursa Major Solar (UMS) wants to assign a Lightning for Outlook layout.
Which two options can UMS assign this layout to? Choose 2 answers
A. User
B. Team
C. Role
D. Profile
Answer: A,D

NEW QUESTION: 3
Case Study: 6 - TerramEarth
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week.

Support the dealer network with more data on how their customers use their equipment to better

position new products and services
Have the ability to partner with different companies - especially with seed and fertilizer suppliers

in the fast-growing agricultural business - to create compelling joint offerings for their customers.
Technical Requirements
Expand beyond a single datacenter to decrease latency to the American Midwest and east

coast.
Create a backup strategy.

Increase security of data transfer from equipment to the datacenter.

Improve data in the data warehouse.

Use customer and equipment data to anticipate customer needs.

Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
Windows Server 2008 R2

- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
Off the shelf application. License tied to number of physical CPUs

- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
A single PostgreSQL server

- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?
A. Compute Engine with project-wide SSH keys
B. Cloud IoT Core with public/private key pairs
C. Google Kubernetes Engine with an SSL Ingress
D. Compute Engine with specific SSH keys
Answer: C