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NEW QUESTION: 1
Which parameter for GoldenGate 12c enables DDL replication for a Replicat?
A. TARGETDDL
B. DDL for Replicat is enabled by default.
C. USEDDL
D. GETDDL
Answer: B

NEW QUESTION: 2
Attempts, one of the three types of items associated with the schedule pipeline in the AWS Data Pipeline,
provides robust data management.
Which of the following statements is NOT true about Attempts?
A. An AWS Data Pipeline Attempt object compiles the pipeline components to create a set of actionable
instances.
B. AWS Data Pipeline Attempt objects track the various attempts, results, and failure reasons if
applicable.
C. AWS Data Pipeline retries a failed operation until the count of retries reaches the maximum number of
allowed retry attempts.
D. Attempts provide robust data management.
Answer: A
Explanation:
Attempts, one of the three types of items associated with a schedule pipeline in AWS Data Pipeline,
provides robust data management. AWS Data Pipeline retries a failed operation. It continues to do so until
the task reaches the maximum number of allowed retry attempts. Attempt objects track the various
attempts, results, and failure reasons if applicable. Essentially, it is the instance with a counter. AWS Data
Pipeline performs retries using the same resources from the previous attempts, such as Amazon EMR
clusters and EC2 instances.
Reference:
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-tasks-scheduled.html

NEW QUESTION: 3
Your network contains an Active Directory domain named contoso.com. The domain contains more than
100 Group Policy objects (GPOs).
Currently, there are no enforced GPOs. You need to prevent all of the GPOs at the site level and at the
domain level from being applied to users and computers in an organizational unit (OU) named OU1.
You want to achieve this goal by using the minimum amount of Administrative effort.
What should you use?
A. Set-GPInheritance
B. Set-GPLink
C. Gptedit.msc
D. Import-GPO
E. Add-ADGroupMember
F. dcgpofix
G. Set-GPPermission
H. Get-GPOReport
I. Restore-GPO
J. Import-GPO
K. Gpresult
L. Gpupdate
M. Gpfixup
Answer: A
Explanation:
Set-GPInheritance -Blocks or unblocks inheritance for a specified domain or organizational unit (OU).
GPOs are applied according to the Group Policy hierarchy in the following order: local GPO, GPOs linked to the site, GPOs linked to the domain, GPOs linked to OUs. By default, an Active Directory container inherits settings from GPOs that are applied at the next higher level in the hierarchy. Blocking inheritance prevents the settings in GPOs that are linked to higher-level sites, domains, or organizational units from being automatically inherited by the specified domain or OU, unless the link (at the higher-level container) for a GPO is enforced.

http://technet.microsoft.com/en-us/library/ee461032.aspx http://technet.microsoft.com/en-us/library/cc757050.aspx

NEW QUESTION: 4
Case Study: 2 - TerramEarth Case Study
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.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
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-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, 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, without
increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use
their equipment IP 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
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower 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. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question refer to the TerramEarth case study
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. 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.
B. Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.
C. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.
D. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.
Answer: A
Explanation:
https://cloud.google.com/customers/ocado/