DASCA SDS dumps - in .pdf

SDS pdf
  • Exam Code: SDS
  • Exam Name: Senior Data Scientist
  • Updated: Jul 25, 2026
  • Q & A: 87 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: SDS
  • Exam Name: Senior Data Scientist
  • Version: V12.35   Updated: Jul 25, 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
  • Version: V12.35   Updated: Jul 25, 2026
  • Q & A: 87 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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DASCA SDS Exam Syllabus Topics:

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

DASCA Senior Data Scientist Sample Questions:

1. Exploratory analytic algorithms help the Data Science team to better:

A) Both A and B
B) Understand the data content
C) All of the above
D) Gain a high-level understanding of relationships
E) Understand patterns in the data


2. Which of the following is NOT an example of graphical model?

A) Geographical networks
B) Electrical circuits
C) Flow charts
D) Computer networks
E) Road maps


3. Which of the following is a "thinking like a data scientist" decomposition process?

A) Business Initiative
B) All of the above
C) Both B and C
D) Business Stakeholder
E) Strategic Nouns


4. Which of these statements reflects a null hypothesis?

A) Men will score higher than women on spatial awareness
B) Women will score higher than men on empathy
C) There will be no relationship between caffeine consumption and performance
D) There will be a significant difference between group 1 and group 2
E) As temperature increases, so too will the level of aggression


5. Which of the following is TRUE for Tensor?

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


Solutions:

Question # 1
Answer: C
Question # 2
Answer: C
Question # 3
Answer: B
Question # 4
Answer: C
Question # 5
Answer: B

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