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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. TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US. Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?
A. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
B. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.
C. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.
D. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a regional bucket and use a Cloud Dataproc cluster to finish the job.
Answer: D
Explanation:
Compressed Data save $$$
Region bucket cheaper than Multi Region
References: https://medium.com/google-cloud/google-cloud-storage-what-bucket-class-for-the- bestperformance-5c847ac8f9f2

NEW QUESTION: 2
You are developing an application by using Microsoft .NET Framework 4 and Microsoft Visual Studio 2010.
You plan to use Microsoft Sync Framework to synchronize the data stored in a local Microsoft SQL Server Compact Edition database with the data stored in a centralized SQL Server 2008 database. Four columns are added to each table involved in the synchronization process to track changes to the
database.
You add the following four columns to the database table.

Users report that the synchronization process is not always successful. You need to ensure that the application synchronizes data successfully. What should you do?
A. Option B
B. Option D
C. Option C
D. Option A
Answer: D

NEW QUESTION: 3
Which Cisco IOS XR command presents a list of all interfaces, their Layer 3 address (if configured), and the status of the interface and protocol?
A. RP/0/RSP0/CPU0:PE1# show controllers
B. RP/0/RSP0/CPU0:PE1# show interface GigabitEthernet 0/0/0/1
C. RP/0/RSP0/CPU0:PE1(config)# show bundle
D. RP/0/RSP0/CPU0:PE1(admin)# show hw-module fpd location all
E. RP/0/RSP0/CPU0:PE1(admin)# show platform
F. RP/0/RSP0/CPU0:PE1# show ipv4 interfaces brief
Answer: F

NEW QUESTION: 4
Subscription1とSubscription2という名前の2つのAzureサブスクリプションを管理します。
Subscription1には次の仮想ネットワークがあります。

仮想ネットワークには、次のサブネットが含まれています。

Subscription2には、次の仮想ネットワークが含まれています。
*名前：VNETA
*アドレス空間：10.10.128.0/17
*場所：Canada Central
VNETAには次のサブネットが含まれています。

次の各ステートメントについて、ステートメントがtrueの場合は[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Yes
With VNet-to-VNet you can connect Virtual Networks in Azure across Different regions.
Box 2: Yes
Azure supports the following types of peering:
Virtual network peering: Connect virtual networks within the same Azure region.
Global virtual network peering: Connecting virtual networks across Azure regions.
Box 3: No
The virtual networks you peer must have non-overlapping IP address spaces.
References:
https://azure.microsoft.com/en-us/blog/vnet-to-vnet-connecting-virtual-networks-in-azure-across-different-regions/
https://docs.microsoft.com/en-us/azure/virtual-network/virtual-network-manage-peering#requirements-and-constraints