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NEW QUESTION: 1
Why should user populations be segmented?
A. To allow appropriate collaboration, and prevent inappropriate resource sharing
B. To prevent the generation of audit trails from gateway devices
C. To prevent appropriate collaboration
D. To provide authentication services
E. To allow resources to be shared among employees
Answer: A
NEW QUESTION: 2
To declare mapping on a target column, does a developer have to manually write the required database functions?
A. Yes, ODI only allows manual insertion of information related to source-target mappings.
B. No, a developer must prepare a configuration file and associate to it a user function,
C. No, a graphical expression editor can be used to drag and drop columns and the required function definitions.
D. Yes, either the work area can be used to write the functions or a configuration file can be prepared for ODI to read.
Answer: C
NEW QUESTION: 3
You need to deploy ubuntu machine to azure, what's the fastest way?
A. Chef
B. xPlat Azure CLI
C. Puppet
D. Cloud-Init
Answer: D
Explanation:
Explanation/Reference:
Explantion:
Cloud-init is a widely used approach to customize a Linux VM as it boots for the first time. You can use cloud-init to install packages and write files, or to configure users and security. Because cloud-init is called during the initial boot process, there are no additional steps or required agents to apply your configuration.
We are actively working with our endorsed Linux distro partners in order to have cloud-init enabled images available in the Azure marketplace. These images make your cloud-init deployments and configurations work seamlessly with VMs and virtual machine scale sets. The following table outlines the current cloud-init enabled images availability on the Azure platform:
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/infrastructure-automation
NEW QUESTION: 4
You are designing a SQL Server Integration Services (SSIS) data flow to load sales transactions from a source system into a data warehouse hosted on Windows Azure SQL Database. One of the columns in the data source is named ProductCode.
Some of the data to be loaded will reference products that need special processing logic in the data flow.
You need to enable separate processing streams for a subset of rows based on the source product code.
Which Data Flow transformation should you use?
A. Data Conversion
B. Script Task
C. Multicast
D. Conditional Split
Answer: D
Explanation:
Explanation: We use Conditional Split to split the source data into separate processing streams.
A Script Component (Script Component is the answer to another version of this question) could be used but this is not the same as a Script Task.