DASCA SDS : Senior Data Scientist

SDS real exams

Exam Code: SDS

Exam Name: Senior Data Scientist

Updated: Oct 07, 2026

Q & A: 87 Questions and Answers

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DASCA SDS Exam Syllabus Topics:

SectionWeightObjectives
Machine Learning at Scale25-30%- Supervised Learning
  • 1. Time Series Forecasting
  • 2. Ensemble Methods
  • 3. Support Vector Machines
- Unsupervised Learning
  • 1. Clustering Algorithms
  • 2. Anomaly Detection
  • 3. Dimensionality Reduction
- Deep Learning Fundamentals
  • 1. Convolutional Networks
  • 2. Recurrent Networks
  • 3. Neural Networks
Big Data Engineering15-20%- Cloud Computing for Data Science
  • 1. AWS/Azure/GCP Services
  • 2. Serverless Architectures
  • 3. Containerization
- Distributed Computing
  • 1. Data Pipelines
  • 2. Apache Spark
  • 3. Hadoop Ecosystem
Data Visualization and Communication10-15%- Tools and Technologies
  • 1. Python Visualization Libraries
  • 2. Tableau/Power BI
- Visualization Principles
  • 1. Dashboard Design
  • 2. Storytelling with Data
Foundations of Data Science15-20%- Data Science Ethics
  • 1. Transparency and Explainability
  • 2. Privacy and Confidentiality
  • 3. Bias and Fairness
- Data Science Lifecycle
  • 1. Model Building and Evaluation
  • 2. Data Collection and Preparation
  • 3. Deployment and Monitoring
  • 4. Problem Formulation
Advanced Statistical Modeling20-25%- Statistical Inference
  • 1. Hypothesis Testing
  • 2. Bayesian Methods
  • 3. Confidence Intervals
- Regression Analysis
  • 1. Generalized Linear Models
  • 2. Linear and Logistic Regression
  • 3. Regularization Techniques

DASCA Senior Data Scientist Sample Questions:

Question #1

Which of the following is TRUE for Tensor?

  • A. Tensor is an array of floating-point numbers
  • B. All of the above
  • C. Both B and C
  • D. In Tensor, there can be arbitrarily many dimensions to the array
  • E. Tensor is used to describe multidimensional arrays of numbers on which we perform linear operations
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

The grid computing environment uses a middleware to:

  • A. None of the above
  • B. Both A and B
  • C. Divide computing resources
  • D. Combine computing resources
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

Which of the following is correct for Markov chain?

  • A. Both B and C
  • B. A Markov chain is a sequence of fixed variables X1, X2
  • C. A Markov chain is the state of a system at sequential points in time
  • D. A Markov chain is a sequence of random variables X1, X2
  • E. Both A and B
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

Which of the following is FALSE for Social Network Analysis (SNA)?

  • A. None of the above
  • B. SNA characterizes networked structures in terms of nodes and the ties or edges that connect them
  • C. Social Network Analysis (SNA) is an example of trend analysis
  • D. SNA is used to investigate social structures and relationships across social networks
  • E. Social Network Analysis (SNA) is an example of graph analysis
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

ARIMA model is:

  • A. Autoregressive moving average
  • B. All of the above
  • C. Autoresponsive moving average
  • D. Autoreactive moving average
  • E. Autointeractive moving average
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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