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NEW QUESTION: 1
What will drive a business architecture team to establish and deploy a formal business architecture
knowledgebase?
A. Value streams, capabilities and related cross-mappings are being managed using a sophisticated
spreadsheet
B. The business architecture includes well-defined business objectives, value streams, stakeholders,
capabilities, initiatives and corresponding relationships
C. The team is in the early stages of defining and populating its business capabilities, value streams and
stakeholders
D. The sole business architecture blueprint currently in place is a mature, centralized and relatively
mature capability map
Answer: B

NEW QUESTION: 2

Refer to the exhibit. R1 has an OSPF path to R2 and R3 for 10.1.0.0/24but R1 has a routing entry for 10.1.0.0/24 from only one router at a time. Which option is the most likely cause?
A. R2 is using a filter list
B. R2 is using an offset list.
C. R2 has a higher administrative distance.
D. The R1 maximum path is set to 1.
Answer: D

NEW QUESTION: 3
You are moving a large dataset from Azure Machine Learning Studio to a Weka environment.
You need to format the data for the Weka environment.
Which module should you use?
A. Convert to SVMLight
B. Convert to Dataset
C. Convert to ARFF
D. Convert to CSV
Answer: C
Explanation:
Use the Convert to ARFF module in Azure Machine Learning Studio, to convert datasets and results in Azure Machine Learning to the attribute-relation file format used by the Weka toolset. This format is known as ARFF.
The ARFF data specification for Weka supports multiple machine learning tasks, including data preprocessing, classification, and feature selection. In this format, data is organized by entites and their attributes, and is contained in a single text file.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-arff