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NEW QUESTION: 1
802.11r introduces new frame exchange protocol to support key management during fast secure transitions. Two of the new exchange protocols are the Over-the -air protocol and the other-DS FT protocol.
In what ways do these frames exchange protocols differ from each other?
A. Over-the -air FT protocol uses the 4 way handshake to establish encryption keys, while the over the DS ft protocol does not.
B. In Over-the -air protocol sends frames directly to new AP, while the other the DS FT protocol used the old AP to forward the frames to the New AP via the wired network.
C. Over-the -air FT protocol rules ion 802.11k neighbor reports to initiate roamingdecisions, while the other-the DS FT protocol does not.
D. Over-the -air FT protocol is used during a layer 2 roam, while the over-the-DS FT protocol does not.
E. Over-the -air FT protocol used during layer 2 raom, while the over-the-DS FT protocol is used when layer 3 rams are occurring
Answer: B
Explanation:
The process shown in Figure 7.15 is known asover - the - air fast BSS transition. The client station communicates directly with the target AP using standard 802.11 authentication with the FT An alternative to the FT method isover - the - DS fast BSS transition,which requires the use ofFT Action framesto complete the PTK creation process. The over - the - DS process uses the FT Action frames over the wired 802.3 infrastructure. As shown in Figure 7.16, the client station sends an FT Action Request frame to the original AP. The FT Action Request frame is forwarded over the distribution system (DS), which is the wired infrastructure. The target AP responds back to the client station over the DS with an FT Action Response frame.
pg 270-271

NEW QUESTION: 2
HOTSPOT
You create a virtual network named fabVNet01.
You design the virtual network to include two subnets, one named DNS-subnet and one named Apps-subnet, as shown in the exhibit. (Click the Exhibits button.)

In the table below, identify the number of IP addresses that will be available for virtual machines (VMs) or cloud services in each subnet. Make only one selection in each column.

Answer:
Explanation:

Explanation:

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 need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?
A. Replace the existing data warehouse with BigQuery. Use federated data sources.
B. Replace the existing data warehouse with BigQuery. Use table partitioning.
C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
D. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
Answer: B
Explanation:
1. BigQuery does not guarantee data consistency for external data sources. Changes to the underlying data while a query is running can result in unexpected behavior.
2. Query performance for external data sources may not be as high as querying data in a native BigQuery table.