Data Science in Business MCQ Questions and Answers

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In data science for business, what does "data cleansing" involve?

A) Removing outliers from data B) Hiding sensitive information C) Collecting data from various sources D) Increasing data complexity

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Answer & Solution

Answer: Option A

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What is the primary focus of "A/B testing" in business analytics?

A) Identifying differences in data B) Creating randomized experiments C) Optimizing marketing campaigns D) Calculating data storage costs

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Answer & Solution

Answer: Option C

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In business analytics, what is the primary purpose of "data governance"?

A) To increase data accessibility B) To protect sensitive information C) To improve data quality D) To establish data policies and procedures

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Answer & Solution

Answer: Option C

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What does the term "KPI" stand for in the context of business analytics?

A) Key Performance Indicator B) Knowledge Processing Interface C) Keep Prioritizing Information D) Key Predictive Index

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Answer & Solution

Answer: Option A

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In data science, what is the primary goal of "sales forecasting" in business analytics?

A) Predicting future sales trends B) Analyzing past sales data C) Calculating data storage costs D) Tracking employee performance

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Answer: Option A

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What is the primary purpose of "data integration" in business analytics?

A) Combining data from multiple sources B) Storing data in a single database C) Reducing data complexity D) Sharing data with competitors

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Answer: Option A

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In business analytics, what does the term "data silo" refer to?

A) Isolated data storage location B) A type of data visualization C) A customer segmentation method D) A market basket analysis technique

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Answer & Solution

Answer: Option A

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What is the primary focus of "text analytics" in business data science?

A) Analyzing textual data for insights B) Calculating numerical statistics C) Visualizing data patterns D) Conducting online surveys

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Answer & Solution

Answer: Option A

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What is the main purpose of "data extraction" in business analytics?

A) Extracting data from the environment B) Reducing data storage costs C) Predicting future market trends D) Identifying data sources

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Answer & Solution

Answer: Option A

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In data science for business, what does "data warehousing" involve?

A) Storing and managing data centrally B) Data visualization techniques C) Collecting data from various sources D) Data preprocessing techniques

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Answer & Solution

Answer: Option A

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Data Science in Business MCQ Questions and Answers | Data Science MCQs