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NEW QUESTION: 1
What are the 3 main reasons for choosing the Full Cloud?
A. Ensure that HR data is properly in sync
B. Talent solutions in the cloud
C. Core Process need to looked upon
D. Do not want to touch Payroll and time
Answer: A,B,C
Explanation:
Visit us athttp://testsexpert.com/C_HRHPC_1908.html

NEW QUESTION: 2
Sie müssen ermitteln, welche Microsoft-Plattformen Hybridkapazitäten für die Migration von einer lokalen Bereitstellung bereitstellen. Welche beiden Plattformen bieten Hybridfunktionen für die Migration? Jede richtige Antwort bietet eine vollständige Lösung.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
A. Microsoft-Teams
B. Microsoft Exchange
C. Microsoft Skype for Business
D. Microsoft Yammer
Answer: B,C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/office365/enterprise/architecture-of-microsoft-hybrid-cloud-scenarios

NEW QUESTION: 3
One drawback of Application Level Firewall is that it reduces network performance due to the fact that it must analyze every packet and:
A. decide what to do with each packet.
B. decide what to do with each port.
C. decide what to do with each user.
D. decide what to do with each application.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The application firewall is typically built to control all network traffic on any OSI layer up to the application layer. At the lowest level the application firewall can examine each data packet. This slows down the performance.
Incorrect Answers:
A: Making decisions at the application level would not slow down the firewall.
B: An application firewall cannot make decisions based on the user.
C: Making decisions at the port level would not slow down the firewall, especially compared deciding what to do with each packet.
References:
https://en.wikipedia.org/wiki/Application_firewall

NEW QUESTION: 4
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. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.
Which two actions should you take?
A. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and Action: "Set to Nearline".
B. Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and Action: "Set to Coldline".
C. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and Action: "Delete".
D. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and Action: "Delete".
Answer: D