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NEW QUESTION: 1
Which three characteristics of services indicate a mature SOA environment? (Choose three.)
A. Services contain logic to provide compatibility across technologies.
B. Services are discoverable.
C. Services use Web 2.0 technology.
D. Services are exposed by an Enterprise Service Bus (ESB).
E. Services are composed into broader business functionality.
F. Services use scripting languages to improve system responsiveness.
Answer: B,D,E

NEW QUESTION: 2
You plan to preprocess text from CSV files. You load the Azure Machine Learning Studio default stop words list.
You need to configure the Preprocess Text module to meet the following requirements:
* Ensure that multiple related words from a single canonical form.
* Remove pipe characters from text.
* Remove words to optimize information retrieval.
Which three options should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Remove stop words
Remove words to optimize information retrieval.
Remove stop words: Select this option if you want to apply a predefined stopword list to the text column. Stop word removal is performed before any other processes.
Box 2: Lemmatization
Ensure that multiple related words from a single canonical form.
Lemmatization converts multiple related words to a single canonical form Box 3: Remove special characters Remove special characters: Use this option to replace any non-alphanumeric special characters with the pipe | character.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/preprocess-text

NEW QUESTION: 3
Which of the following process ensures that extracted data are ready for analysis?
A. Data validation
B. Data analysis
C. Data gathering
D. Data access
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Data validation ensures that extracted data are ready for analysis. One objective is to perform data quality tests to ensure data are valid complete and free of errors. This may also involve making data from different sources suitable for comparative analysis.
Incorrect Answers:
A: Analysis of data involves simple set of steps or complex combination of commands and other functionality. Data analysis is designed in such a way to achieve the stated objectives from the project plan. Although this may be applicable to any monitoring activity, it would be beneficial to consider transferability and scalability. This may include robust documentation, use of software development standards and naming conventions.
C: Data gathering is the process of collecting data on risk to be monitored, prepare a detailed plan and define the project's scope. In the case of a monitoring project, this step should involve process owners, data owners, system custodians and other process stakeholders.
D: In the data access process, management identifies which data are available and how they can be acquired in a format that can be used for analysis. There are two options for data extraction:
Extracting data directly from the source systems after system owner approval

Receiving data extracts from the system custodian (IT) after system owner approval



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