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NEW QUESTION: 1
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Domäne enthält einen Hyper-V-Host.
Sie stellen das SDN (Software Defined Network) mithilfe von Windows Server 2016 bereit.
Sie stellen eine virtuelle Maschine bereit, auf der Windows Server 2016 ausgeführt wird, und installieren die Network Controller-Serverrolle.
Sie müssen die virtuelle Maschine als Netzwerkcontroller konfigurieren.
Was tun?
A. Führen Sie das Cmdlet Install-NetworkControllerCluster aus und setzen Sie ClientAuthentication auf None.
B. Führen Sie das Cmdlet Install-NetworkControllerCluster aus und legen Sie ClientAuthentication auf X509 fest.
C. Führen Sie das Cmdlet Install-NetworkController aus und setzen Sie ClientAuthentication auf None.
D. Führen Sie das Cmdlet Install-NetworkController aus und setzen Sie ClientAuthentication auf Kerberos.
Answer: D
Explanation:
Explanation
References:
https://github.com/MicrosoftDocs/windowsserverdocs/blob/master/WindowsServerDocs/networking/sdn/deploy

NEW QUESTION: 2
On Monday a dealer in a bank in Switzerland buys USD 5,000,000.00 against JPY spot. Value date of this spot transaction will be Wednesday,
A. assuming neither Tuesday nor Wednesday are bank holidays in the United States
B. assuming neither Tuesday nor Wednesday are bank holidays in either Japan or the United States
C. assuming neither Tuesday nor Wednesday are bank holidays in Switzerland
D. assuming that neither Tuesday nor Wednesday are bank holidays in Japan
Answer: B

NEW QUESTION: 3

A. Option F
B. Option C
C. Option B
D. Option E
E. Option A
F. Option D
Answer: C,E,F
Explanation:
Incorrect:
Not E, Not F When Heat Map is enabled, all accesses are tracked by the in-memory activity
tracking module. Objects in the SYSTEM and SYSAUX tablespaces are not tracked.
*To implement your ILM strategy, you can use Heat Map in Oracle Database to track data access
and modification.
Heat Map provides data access tracking at the segment-level and data modification tracking at the
segment and row level.
*To implement your ILM strategy, you can use Heat Map in Oracle Database to track data access
and modification. You can also use Automatic Data Optimization (ADO) to automate the
compression and movement of data between different tiers of storage within the database.
Reference: Automatic Data Optimization with Oracle Database 12c
with Oracle Database 12c

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. 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 table partitioning.
B. Replace the existing data warehouse with BigQuery. Use federated data sources.
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