Describe the Data Scientist Role and Related Skills DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A marketing team wants to understand why customer churn increased last quarter. They have a clean dataset of customer transactions and demographics. Which role is best suited to produce a clear summary of the key factors and present it to the marketing director?

   • AData scientist, because they can build a churn prediction model.
   • BBusiness analyst, because they can write a requirements document for a new dashboard.
   • CData analyst, because they can query the data and create visualizations that explain the trends.
   • DData engineer, because they can build a new pipeline to ingest more data.
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2. 12application · medium

   A data scientist is asked to analyze customer feedback text to identify common complaints. The dataset contains millions of reviews. Which technical skill is most directly needed for this task?

   • ADatabase indexing to speed up queries on the reviews.
   • BNetwork configuration to ensure the data is transmitted securely.
   • CNatural language processing (NLP) to extract themes from the text.
   • DGraphic design to create visual representations of the complaints.
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4. 13expert · hard

   A telecom company has a data engineer who manages the data lake, a data analyst who produces weekly churn reports, and a business analyst who documents requirements. The company wants to reduce customer churn by proactively identifying at-risk customers and offering them retention incentives. The data lake contains call records, billing history, and customer service interactions. Which role should lead this initiative, and what is the most critical first step?

   • ABusiness analyst: interview customers to understand why they churn and create a survey.
   • BData engineer: create a real-time stream of customer interactions to feed the existing churn reports.
   • CData scientist: build a predictive churn model using historical data and deploy it to score current customers.
   • DData analyst: enhance the weekly churn report with more granular segments.
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5. 14application · medium

   An e-commerce company wants to increase sales by offering personalized product recommendations. The data science team has access to a large dataset of user browsing and purchase history. What is the primary objective of the data scientist in this project?

   • ATo develop a model that predicts which products a user is likely to buy.
   • BTo create a data warehouse to store the browsing history.
   • CTo write a business plan for the recommendation feature.
   • DTo design a new user interface for the website.
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6. 15foundation · easy

   In the context of big data, what additional challenge does a data scientist face compared to working with traditional datasets?

   • AThe need to handle data that is too large to fit in a single machine's memory
   • BThe need to focus only on structured data
   • CThe need to use SQL for all data queries
   • DThe need to avoid using machine learning algorithms
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