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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 plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?
A. Vehicles continue to write data using the existing system (FTP).
B. Vehicles write data directly to GCS.
C. Vehicles stream data directly to Google BigQuery.
D. Vehicles write data directly to Google Cloud Pub/Sub.
Answer: C
Explanation:
Streamed data is available for real-time analysis within a few seconds of the first streaming insertion into a table.
Instead of using a job to load data into BigQuery, you can choose to stream your data into BigQuery one record at a time by using the tabledata().insertAll() method. This approach enables querying data without the delay of running a load job.
References: https://cloud.google.com/bigquery/streaming-data-into-bigquery
NEW QUESTION: 2
How should the architect design the image management process using Windows SysPrep?
A. Run XenConvert on an existing machine.
B. Use a XenServer virtual machine to install a new Windows image with MAK and prepare it as the master image. Ensure that the image has two network cards.
C. Prepare an existing machine as the master image.
D. Install a new Windows image utilizing a XenServer virtual machine and prepare it as the master image and install the delivery agent. Run SysPrep on the virtual machine.
Answer: B
NEW QUESTION: 3
You have an Azure subscription that contains the resources in the following table.
You install the Web Server server role (IIS) on VM1 and VM2, and then and VM1 and VM2 to LB1.
LB1 is configured as shown in the LB1 exhibit. (Click the LB1 tab.)
Rule1 is configure as shown in the Rule1 exhibit. (Click the Rule tab.) For each of the following statements, select Yes if the statements is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Yes
A Basic Load Balancer supports virtual machines in a single availability set or virtual machine scale set.
Box 2: Yes
When using load-balancing rules with Azure Load Balancer, you need to specify health probes to allow Load Balancer to detect the backend endpoint status. The configuration of the health probe and probe responses determine which backend pool instances will receive new flows. You can use health probes to detect the failure of an application on a backend endpoint. You can also generate a custom response to a health probe and use the health probe for flow control to manage load or planned downtime. When a health probe fails, Load Balancer will stop sending new flows to the respective unhealthy instance. Outbound connectivity is not impacted, only inbound connectivity is impacted.
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/load-balancer/skus
https://docs.microsoft.com/en-us/azure/load-balancer/load-balancer-custom-probe-overview
NEW QUESTION: 4
A nurse is returning phone calls in a pediatric clinic. Which of the following reports most requires the nurse's immediate attention and phone call?
A. A 10 year-old girl feels a dull pain in her abdomen after doing sit-ups in gym class.
B. A 8 year-old boy has been vomiting and appears to have slower movements and has a history of an atrio-ventricular shunt placement.
C. A 7 year-old girl that had a cast on her right ankle is complaining of itching.
D. A 7 year-old boy has been having a low fever and headache for the past 3 days that has history of an anterior knee wound.
Answer: B
Explanation:
The shunt may be blocked and require immediate medical attention.