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NEW QUESTION: 1
DRAG DROP

Answer:
Explanation:

NEW QUESTION: 2
Given:

What is the result?
A. A B C
B. C
C. C B A
D. Compilation fails at line n1 and line n2.
Answer: A

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are troubleshooting a slice in Microsoft Azure Data Factory for a dataset that has been in a waiting state for the last three days. The dataset should have been ready two days ago.
The dataset is being produced outside the scope of Azure Data Factory. The dataset is defined by using the following JSON code.

You need to modify the JSON code to ensure that the dataset is marked as ready whenever there is data in the data store.
Solution: You add a structure property to the dataset.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
References:
https://docs.microsoft.com/en-us/azure/data-factory/v1/data-factory-create-datasets

NEW QUESTION: 4
Which aspect of data poses the biggest challenge to using automated tools for data discovery and programmatic data classification?
A. Number of courses
B. Language
C. Quantity
D. Quality
Answer: D
Explanation:
The biggest challenge for properly using any programmatic tools in data discovery is the actual quality of the data, including the data being uniform and well structured, labels being properly applied, and other similar facets. Without data being organized in such a manner, it is extremely difficult for programmatic tools to automatically synthesize and make determinations from it. The overall quantity of data, as well as the number of sources, does not pose an enormous challenge for data discovery programs, other than requiring a longer time to process the data. The language of the data itself should not matter to a program that is designed to process it, as long as the data is well formed and consistent.