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NEW QUESTION: 1
An organization needs to use the Update Service Locations (USL) feature of Symantec Enterprise Vault 11.x for Exchange (EV).
Which two physical EV resources must be remote to the EV servers for this feature to work seamlessly? (Select two.)
A. SQL Server
B. Message Queuing
C. Index Server Groups
D. Archiving targets
E. Vault Store Partitions
Answer: A,E
Explanation:
Topic 4, Identify EV 11 for Exchange prerequisites
NEW QUESTION: 2
You are an MR manager responsible for three departments.
You want to make sure that the managers of the three departments can view their team goals and team performance.
Which workspace should you tell managers to use to view this information?
A. People
B. Employee development
C. Personnel Management
D. Employee self service
Answer: C
NEW QUESTION: 3
You are developing an application that includes methods named ConvertAmountand TransferFunds.
You need to ensure that the precision and range of the value in the amount variable is not lost when the TransferFunds()method is called.
Which code segment should you use?
A. Option D
B. Option A
C. Option C
D. Option B
Answer: B
Explanation:
Explanation/Reference:
Explanation:
The double keyword signifies a simple type that stores 64-bit floating-point values.
The float keyword signifies a simple type that stores 32-bit floating-point values.
Reference: double (C# Reference)
NEW QUESTION: 4
Which of the following cannot be done using AWS Data Pipeline?
A. Move data between different AWS compute and storage services as well as on premise data sources at specified intervals.
B. Create complex data processing workloads that are fault tolerant, repeatable, and highly available.
C. Regularly access your data where it's stored, transform and process it at scale, and efficiently transfer the results to another AWS service.
D. Generate reports over data that has been stored.
Answer: D
Explanation:
Explanation
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services as well as on premise data sources at specified intervals. With AWS Data Pipeline, you can regularly access your data where it's stored, transform and process it at scale, and efficiently transfer the results to another AWS.
AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. AWS Data Pipeline also allows you to move and process data that was previously locked up in on premise data silos.
http://aws.amazon.com/datapipeline/
