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NEW QUESTION: 1
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase
their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating
efficiency of all 20 million cellular and unconnected vehicles in the field.
How can you accomplish this goal?
A. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud
Messaging (GCM) to make operational adjustments automatically
B. Capture all operating data, train machine learning models that identify ideal operations, and host in
Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically
C. Have you engineers inspect the data for patterns, and then create an algorithm with rules that make
operational adjustments automatically
D. Capture all operating data, train machine learning models that identify ideal operations, and run locally
to make operational adjustments automatically
Answer: B
Explanation:
Explanation/Reference:
References: https://cloud.google.com/customers/ocado/
Testlet 1
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.

NEW QUESTION: 2
프로젝트가 진행되는 동안 프로젝트 관리자에게는 프로젝트의 혜택이 프로젝트 스폰서 및 이해 관계자가 기대하는 혜택과 크게 다를 것이라는 것이 분명해집니다. 상황을 관리하기 위해 프로젝트 관리자는 어떻게 해야 합니까?
A. 후원자와 이해 관계자로부터 새로운 혜택이 허용된다는 합의를 구하십시오.
B. 예상 혜택을 달성하기 위해 프로젝트 관리 계획을 변경하십시오.
C. 스폰서와 이해 관계자의 기대를 수정하기 위해 프로젝트 헌장의 혜택 수정
D. 다음 단계를 결정하기 위해 계획 중에 사용 된 이익 가정의 재확인
Answer: A

NEW QUESTION: 3
To abide by industry regulations, a Solutions Architect must design a solution that will store a company's critical data in multiple public AWS Regions, including in the United States, where the company's headquarters is located. The Solutions Architect is required to provide access to the data stored in AWS to the company's global WAN network. The Security team mandates that no traffic accessing this data should traverse the public internet.
How should the Solutions Architect design a highly available solution that meets the requirements and is cost-effective?
A. Establish two AWS Direct Connect connections from the company headquarters to an AWS Region.
Use the company WAN to send traffic over a DX connection. Use Direct Connect Gateway to access data in other AWS Regions.
B. Establish two AWS Direct Connect connections from the company headquarters to an AWS Region.
Use the company WAN to send traffic over a DX connection. Use inter-region VPC peering to access the data in other AWS Regions.
C. Establish AWS Direct Connect connections from the company headquarters to all AWS Regions in use.
Use the company WAN to send traffic over to the headquarters and then to the respective DX connection to access the data.
D. Establish two AWS Direct Connect connections from the company headquarters to an AWS Region.
Use the company WAN to send traffic over a DX connection. Use an AWS transit VPC solution to access data in other AWS Regions.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/blogs/aws/new-aws-direct-connect-gateway-inter-region-vpc-access/

NEW QUESTION: 4
How does the digital envelop work? What are the correct steps to follow?
A. You encrypt the data using the session key and then you encrypt the session key using the receiver's private key
B. You encrypt the data using the session key and then you encrypt the session key using the receiver's public key
C. You encrypt the data using the session key and then you encrypt the session key using sender's public key
D. You encrypt the data using a session key and then encrypt session key using private key of a sender
Answer: B
Explanation:
Explanation/Reference:
The process of encrypting bulk data using symmetric key cryptography and then encrypting the session key using public key algorithm is referred as a digital envelope.
A Digital Envelope is used to send encrypted information using symmetric crypto cipher and then key session along with it. It is secure method to send electronic document without compromising the data integrity, authentication and non-repudiation, which were obtained with the use of symmetric keys.
A Digital envelope mechanism works as follows:
The symmetric key used to encrypt the message can be referred to as session key. The bulk of the message would take advantage of the high speed provided by Symmetric Cipher.
The session key must then be communicated to the receiver in a secure way to allow the receiver to decrypt the message.
If the session key is sent to receiver in the plain text, it could be captured in clear text over the network and anyone could access the session key which would lead to confidentiality being compromised.
Therefore it is critical to encrypt the session key with the receiver public key before sending it to the receiver. The receiver's will use their matching private key to decrypt the session key which then allow them to decrypt the message using the session key.
The encrypted message and the encrypted session key are sent to the receiver who, in turn decrypts the session key with the receiver's private key. The session key is then applied to the message cipher text to get the plain text.
The following were incorrect answers:
You encrypt the data using a session key and then encrypt session key using private key of a sender - If the session key is encrypted using sender's private key, it can be decrypted only using sender's public key.
The sender's public key is know to everyone so anyone can decrypt session key and message.
You encrypt the data using the session key and then you encrypt the session key using sender's public key
- If the session key is encrypted by using sender's public key then only sender can decrypt the session key using his/her own private key and receiver will not be able to decrypt the same.
You encrypt the data using the session key and then you encrypt the session key using the receiver's private key - Sender should not have access to receiver's private key. This is not a valid option.
The following reference(s) were/was used to create this question:
CISA review manual 2014 Page number 350 and 351