DASCA SDS dumps - in .pdf

SDS pdf
  • Exam Code: SDS
  • Exam Name: Senior Data Scientist
  • Updated: Sep 13, 2026
  • Q & A: 87 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: SDS
  • Exam Name: Senior Data Scientist
  • Updated: Sep 13, 2026
  • Q & A: 87 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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DASCA SDS dumps - Testing Engine

SDS Testing Engine
  • Exam Code: SDS
  • Exam Name: Senior Data Scientist
  • Updated: Sep 13, 2026
  • Q & A: 87 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About DASCA SDS VCE materials

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DASCA SDS Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Big Data Engineering15-20%- Distributed Computing
  • 1. Hadoop Ecosystem
  • 2. Apache Spark
  • 3. Data Pipelines
- Cloud Computing for Data Science
  • 1. Containerization
  • 2. Serverless Architectures
  • 3. AWS/Azure/GCP Services
Topic 2: Data Visualization and Communication10-15%- Visualization Principles
  • 1. Storytelling with Data
  • 2. Dashboard Design
- Tools and Technologies
  • 1. Tableau/Power BI
  • 2. Python Visualization Libraries
Topic 3: Foundations of Data Science15-20%- Data Science Lifecycle
  • 1. Deployment and Monitoring
  • 2. Model Building and Evaluation
  • 3. Data Collection and Preparation
  • 4. Problem Formulation
- Data Science Ethics
  • 1. Transparency and Explainability
  • 2. Privacy and Confidentiality
  • 3. Bias and Fairness
Topic 4: Machine Learning at Scale25-30%- Unsupervised Learning
  • 1. Clustering Algorithms
  • 2. Anomaly Detection
  • 3. Dimensionality Reduction
- Deep Learning Fundamentals
  • 1. Convolutional Networks
  • 2. Neural Networks
  • 3. Recurrent Networks
- Supervised Learning
  • 1. Time Series Forecasting
  • 2. Ensemble Methods
  • 3. Support Vector Machines
Topic 5: Advanced Statistical Modeling20-25%- Regression Analysis
  • 1. Regularization Techniques
  • 2. Generalized Linear Models
  • 3. Linear and Logistic Regression
- Statistical Inference
  • 1. Bayesian Methods
  • 2. Hypothesis Testing
  • 3. Confidence Intervals

DASCA Senior Data Scientist Sample Questions:

Question #1

What is Scrum?

  • A. None of the above
  • B. Scrum and Agile are the same
  • C. Scrum is a subset of Agile
  • D. Agile is a subset of Scrum
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

Which of the following is NOT a main data container in Python?

  • A. Lists
  • B. Dict
  • C. LinkedList
  • D. Tuples
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #3

Which of the following errors refers to the wrong negation of a true null hypothesis?

  • A. Hypothesis Error
  • B. None of the above
  • C. Logical Error
  • D. Type I Error
  • E. Type II Error
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

Which of the following is an example of graphical model?

  • A. Both A and C
  • B. Bayesian Networks
  • C. Markov Random Fields
  • D. Both A and B
  • E. Geographical Networks
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

Which of the following can be classified as factor analysis in machine learning?

  • A. None of the above
  • B. Exploratory factor analysis
  • C. Both A and B
  • D. Confirmatory factor analysis
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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