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NEW QUESTION: 1
Case Study: 2 - TerramEarth Case Study
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.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
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-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, 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, without
increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use
their equipment IP 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
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower 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. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question refer to the TerramEarth case study
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. Capture all operating data, train machine learning models that identify ideal operations, and run locally 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. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.
D. Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.
Answer: B
Explanation:
https://cloud.google.com/customers/ocado/
NEW QUESTION: 2
For network segments:172.168.16.0,172.168.17.0, 172.168.18.0, 172.168.19.0, which of the following network segments is the best to implement route aggregation?
A. 172.168.20.0/20
B. 172.168.16.0/22
C. 172.168.16.0/21
D. 172.168.17.0/21
Answer: B
NEW QUESTION: 3
Sie verfügen über ein lokales Rechenzentrum und ein Azure-Abonnement. Das Rechenzentrum enthält zwei VPN-Geräte.
Das Abonnement enthält ein virtuelles Azure-Netzwerk mit dem Namen VNet1. VNet1 enthält ein Gateway-Subnetz.
Sie müssen ein Site-to-Site-VPN erstellen. Die Lösung muss sicherstellen, dass eine einzelne Instanz eines Azure VPN-Gateways ausfällt oder ein einzelnes lokales VPN-Gerät ausfällt. Der Ausfall verursacht keine Unterbrechung, die länger als zwei Minuten dauert.
Wie viele öffentliche IP-Adressen, virtuelle Netzwerkgateways und lokale Netzwerkgateways sind in Azure mindestens erforderlich? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
Explanation
Box 1: 4
Two public IP addresses in the on-premises data center, and two public IP addresses in the VNET.
The most reliable option is to combine the active-active gateways on both your network and Azure, as shown in the diagram below.
Box 2: 2
Every Azure VPN gateway consists of two instances in an active-standby configuration. For any planned maintenance or unplanned disruption that happens to the active instance, the standby instance would take over (failover) automatically, and resume the S2S VPN or VNet-to-VNet connections.
Box 3: 2
Dual-redundancy: active-active VPN gateways for both Azure and on-premises networks References:
https://docs.microsoft.com/en-us/azure/vpn-gateway/vpn-gateway-highlyavailable
NEW QUESTION: 4
Terraformに変数を設定しないのはどれですか？
A. TFプランファイル内の変数宣言のデフォルト値。
B. tfvarという名前のサブディレクトリ内のファイルでキーと値のペアとして変数を設定します。
C. 変数名の前にTF_VAR_述語を使って環境変数を設定する。
D. var文を使って変数をtoTerraformに渡す。
Answer: D
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