Data Scientist And Data Analyst Career Test

What is the primary role of a Data Scientist?

1. Analysing datasets to extract insights for decision-making
2. Designing data storage hardware
3. Maintaining office records
4. Preparing office schedules

Answer: (a) Analysing datasets to extract insights for decision-making

To become a data scientist, students usually pursue studies in ________.

1. Literature and Arts
2. Computer Science, Statistics, and Mathematics
3. Civil Engineering and Architecture
4. Biology and Medicine

Answer: (b) Computer Science, Statistics, and Mathematics

Which school subjects provide the strongest foundation for a career in data science?

1. Business Studies and Economics
2. Geography and Civics
3. Mathematics, Computer Science, Statistics
4. Music and Drama

Answer: (c) Mathematics, Computer Science, Statistics

Why is knowledge of statistics important for data scientists?

1. To interpret legal documents
2. To optimise graphic design
3. To prepare financial audit statements
4. To analyse data patterns and build predictive models

Answer: (d) To analyse data patterns and build predictive models

Which of these is a common programming language used by data scientists?

1. SQL
2. Python
3. French
4. German

Answer: (b) Python

What does 'data cleaning' mean in the work of a data scientist?

1. Collecting raw survey data
2. Encrypting sensitive files
3. Removing errors, duplicates, and irrelevant information from datasets
4. Archiving old datasets

Answer: (c) Removing errors, duplicates, and irrelevant information from datasets

Which of these tools is used for large-scale data processing?

1. Hadoop
2. Photoshop
3. AutoCAD
4. MS Word

Answer: (a) Hadoop

Which of the following is a typical responsibility of a data scientist?

1. Selling software in a shop
2. Designing machine learning models
3. Developing UX/UI graphics
4. Teaching codings

Answer: (b) Designing machine learning models

Why do data scientists use tools like Tableau or Power BI?

1. To write reports
2. To conduct lab experiments
3. To create clear and interactive visualisations of data
4. To design user interfaces

Answer: (c) To create clear and interactive visualisations of data

In Big Data, what do the '3 Vs' commonly stand for?

1. Value, Visuals, Vision
2. Variables, Vectors, Views
3. Validity, Verification, Value
4. Volume, Variety, Velocity

Answer: (d) Volume, Variety, Velocity

Which is one of the biggest challenges in Big Data analytics?

1. Formatting PowerPoint slides
2. Handling extremely large and unstructured datasets
3. Organising office meetings
4. Reducing employee turnover

Answer: (b) Handling extremely large and unstructured datasets

Why must data scientists consider ethics in their work?

1. To comply with data privacy laws and avoid bias
2. To reduce electricity bills
3. To decorate office spaces
4. To speed up computer hardware

Answer: (a) To comply with data privacy laws and avoid bias

Which of these is a real-world example of data science in action?

1. Creating barcodes for retail products
2. Designing classroom seating charts
3. Preparing tax forms manually
4. Predictive maintenance in manufacturing

Answer: (d) Predictive maintenance in manufacturing

Why is data science considered a future-proof career?

1. Because it requires easy memorisation
2. Because it avoids collaboration with engineers
3. Because data volumes are growing and organisations need insights
4. Because it is only done in academia

Answer: (c) Because data volumes are growing and organisations need insights

Which company is famous for recruiting data scientists?

1. Meta (Facebook)
2. Suzuki
3. Redbull
4. Black Rock

Answer: (a) Meta (Facebook)

Data scientists often collaborate with which professionals?

1. Farmers
2. Athletes
3. Musicians
4. Machine Learning Engineers

Answer: (d) Machine Learning Engineers

What does 'data pipeline' mean in data science?

1. A process to collect, clean, and move data for analysis
2. A water pipe
3. A transport route
4. A cable for internet access

Answer: (a) A process to collect, clean, and move data for analysis

Which industry uses Big Data to detect fraud and improve security?

1. Healthcare
2. Agriculture
3. Banking and Finance
4. Film Industry

Answer: (c) Banking and Finance

Which algorithm type is used by Data Scientist for customer segmentation in marketing analytics?

1. Clustering
2. Sorting
3. Hashing
4. Encryption

Answer: (a) Clustering

What is ETL (Extract, Transform, Load) used for in data projects?

1. To design predictive models directly
2. To transfer data from sources into warehouses after cleaning
3. To create business reports
4. To secure networks

Answer: (b) To transfer data from sources into warehouses after cleaning