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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. All domain controllers run Windows Server 2012 R2.
An organizational unit (OU) named OU1 contains 200 client computers that run Windows 8 Enterprise. A Group Policy object (GPO) named GPO1 is linked to OU1.
You make a change to GPO1.
You need to force all of the computers in OU1 to refresh their Group Policy settings immediately. The solution must minimize administrative effort.
Which tool should you use?
A. Group Policy Object Editor
B. The Set-AdComputer cmdlet.
C. Server Manager
D. The Secedit command
E. Active Directory Users and Computers
F. The Invoke-GpUpdate cmdlet
Answer: F
Explanation:
Explanation/Reference:
Explanation:
The Invoke-GPUpdate cmdlet refreshes Group Policy settings, including security settings that are set on remote computers by scheduling the running of the Gpupdate command on a remote computer. You can combine this cmdlet in a scripted fashion to schedule the Gpupdate command on a group of computers.
The refresh can be scheduled to immediately start a refresh of policy settings or wait for a specified period of time, up to a maximum of 31 days. To avoid putting a load on the network, the refresh times will be offset by a random delay.
Note:
In the previous versions of Windows, this was accomplished by having the user run GPUpdate.exe on their computer.
Starting with Windows Server 2012 and Windows 8, you can now remotely refresh Group Policy settings for all computers in an OU from one central location through the Group Policy Management Console (GPMC). Or you can use the Invoke-GPUpdate cmdlet to refresh Group Policy for a set of computers, not limited to the OU structure.
References:
http://technet.microsoft.com/en-us//library/jj134201.aspx
http://blogs.technet.com/b/grouppolicy/archive/2012/11/27/group-policy-in-windows-server-2012-using- remote-gpupdate.aspx

NEW QUESTION: 2
You've been given a spreadsheet of employee attrition data and have been asked to determine which are the most important factors that contribute to whether an employee is likely to leave their position.
What is the quickest way to start this analysis after uploading the data to Oracle Analytics Cloud?
A. Perform a cluster analysis of employees.
B. Use Outlier identification.
C. Use the Explain option on the attrition attribute.
D. Calculate a forecast of the probability of attrition.
Answer: D

NEW QUESTION: 3
How should the architect configure the virtual servers on the appliance?
A. Create four virtual servers configured with the subnets of the four sites and bind them to redirection policies that are configured in ICA Proxy mode using the Web Interface server of that subnet.
B. Create one virtual server and bind it to a session policy that is configured in ICA Proxy mode using the datacenter Web Interface server.
C. Create eight virtual servers in high availability pairs configured with the subnets of the four sites and bind them to redirection policies that are configured in ICA Proxy mode using the Web Interface server of that subnet.
D. Create two virtual servers and bind them to a redirection policy that is configured in ICA Proxy mode using the datacenter Web Interface server.
Answer: A

NEW QUESTION: 4
この質問については、Dress4Winのケーススタディを参照してください。会社のDress4WinのCloud Storageに保存されているデータのセキュリティについては、お客様が責任を負います。既にGoogleグループのセットを作成し、適切なユーザーをそれらのグループに割り当てています。 Googleのベストプラクティスを使用し、要件を満たすために最も単純な設計を実装する必要があります。
Dress4Winのビジネス要件と技術要件を考慮して、どうすればよいですか？
A. セキュリティ要件を実施するために、作成したGoogleグループに事前定義されたIAMロールを割り当てます。 Cloud Storageにファイルを保存する前に、デフォルトのCloud KMSキーが設定されていることを確認してください。
B. セキュリティ要件を実施するために、作成したGoogleグループにカスタムIAMロールを割り当てます。
Cloud Storageにファイルを保存する前に、デフォルトのストレージ暗号化を有効にします。
C. セキュリティ要件を実施するために、作成したGoogleグループに事前定義されたIAMロールを割り当てます。
Cloud Storageにファイルを保存するときは、Googleのデフォルトの暗号化を使用してください。
D. セキュリティ要件を実施するために、作成したGoogleグループにカスタムIAMロールを割り当てます。
Cloud Storageにファイルを保存するときに、お客様が用意した暗号化キーでデータを暗号化します。
Answer: C
Explanation:
Explanation
https://cloud.google.com/iam/docs/understanding-service-accounts
Topic 6, TerramEarth Case 2
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.

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