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NEW QUESTION: 1
You are designing an Azure Data Factory pipeline for processing data. The pipeline will process data that is stored in general-purpose standard Azure storage.
You need to ensure that the compute environment is created on-demand and removed when the process is completed.
Which type of activity should you recommend?
A. Databricks Python activity
B. Data Lake Analytics U-SQL activity
C. HDInsight Pig activity
D. Databricks Jar activity
Answer: C
Explanation:
The HDInsight Pig activity in a Data Factory pipeline executes Pig queries on your own or on-demand HDInsight cluster.
References:
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-hadoop-pig

NEW QUESTION: 2
Which of the following cryptographic attacks would salting of passwords render ineffective?
A. Rainbow tables
B. Birthday
C. Dictionary
Answer: B

NEW QUESTION: 3
You have a series of analytic data models and reports that provide insights into the participation rates for sports at different schools. Users enter information about sports and participants into a client application. The application stores this transactional data in a Microsoft SQL Server database. A SQL Server Integration Services (SSIS) package loads the data into the models.
When users enter data, they do not consistently apply the correct names for the sports. The following table shows examples of the data entry issues.

You need to create a new knowledge base to improve the quality of the sport name data.
How should you configure the knowledge base? To answer, select the appropriate options in the dialog box in the answer area.

Answer:
Explanation:

Explanation

Spot 1: Create Knowledge base from: None
Select None if you do not want to base the new knowledge base on an existing knowledge base or data file.