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NEW QUESTION: 1
You have an Active Directory Rights Management Services (AD RMS) cluster.
You need to prevent users from encrypting new content. The solution must ensure that the users can continue to decrypt content that was encrypted already.
Which two actions should you perform? (Each correct answer presents part of the solution. Choose two.)
A. From the Active Directory Rights Management Services console, modify the rights policy templates.
B. From the Active Directory Rights Management Services console, enable decommissioning.
C. Modify the NTFS permissions of %systemdrive%\inetpub\wwwroot\_wmcs\licensing.
D. From the Active Directory Rights Management Services console, create a user exclusion policy.
E. Modify the NTFS permissions of %systemdrive%\inetpub\wwwroot\_wmcs\decommission.
Answer: B,E
Explanation:
Section: Volume C
Explanation/Reference:
Explanation:
Decommissioning refers to the entire process of removing the AD RMS cluster and its associated databases from an organization. This process allows you to save rights-protected files as ordinary files before you remove AD RMS from your infrastructure so that you do not lose access to these files.
Decommissioning an AD RMS cluster is achieved by doing the following:
Enable the decommissioning service. (A)
Modify permissions on the decommissioning pipeline.
Configure the AD RMS-enabled application to use the decommissioning pipeline.
To modify the permissions on the decommissioning pipeline
1. Log on to ADRMS-SRV as cpandl\administrator.
2. Click Start, type %systemdrive%\inetpub\wwwroot\_wmcs in the Start Search box, and then press ENTER.
3. Right-click the decommission folder, and then click Properties.
4. Click the Security tab, click Edit, and then click Add. (D)
References: Step 1: Decommission AD RMS Root Cluster
NEW QUESTION: 2
The process cluster Use management signals disruptions to the information provisioning, which are experienced in the business process. Which process cluster will be the first to act on these signals?
A. Connecting processes (operational)
B. Information strategy cluster
C. Functionality management cluster
Answer: A
NEW QUESTION: 3
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase
their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating
efficiency of all 20 million cellular and unconnected vehicles in the field.
How can you accomplish this goal?
A. Have you engineers inspect the data for patterns, and then create an algorithm with rules that make
operational adjustments automatically
B. Capture all operating data, train machine learning models that identify ideal operations, and host in
Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically
C. Capture all operating data, train machine learning models that identify ideal operations, and run locally
to make operational adjustments automatically
D. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud
Messaging (GCM) to make operational adjustments automatically
Answer: B
Explanation:
Explanation/Reference:
References: https://cloud.google.com/customers/ocado/
Testlet 1
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.