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Last Updated: Sep 18, 2026

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DASCA SDS Practice Q&A's

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Everyone knows the importance of DASCA DASCA Data Scientist certification---an internationally recognized capacity standard, especially for those who are straggling for better future. As an outstanding person, now that you understand the goal, let's look at how to implement it. A proper study guide like DASCA SDS Quiz is the most important groundwork for your way to the certification. As an authority in this field, SDS training materials can procure the certification for you safety as well as quickly. Then after DASCA certification in your hand, you are able to bask in the sun with a glass of champagne and watch those failures that choose a wrong study guide. What's more important, your new brighter future is walking towards you with SDS study guide.

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DASCA SDS Exam Syllabus Topics:

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

DASCA Senior Data Scientist Sample Questions:

Question #1

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

  • A. Lists
  • B. LinkedList
  • C. Tuples
  • D. Dict
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Correct Answer: B  🗳️

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Question #2

What is TRUE for "rehashing"?

  • A. It requires a new hash function, which maps values into a larger range of integers
  • B. All of the above
  • C. Both A and B
  • D. Key/value pairs from the original table can be inserted into the new, larger one
  • E. Allocate a new, larger hash table in memory
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Correct Answer: B  🗳️

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Question #3

Designing an algorithm to play chess is usually an example of which type of machine learning?

  • A. Pattern density
  • B. Supervised learning
  • C. Clustering
  • D. Reinforcement learning
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Correct Answer: D  🗳️

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Question #4

What is Scrum?

  • A. Scrum and Agile are the same
  • B. None of the above
  • C. Scrum is a subset of Agile
  • D. Agile is a subset of Scrum
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Correct Answer: C  🗳️

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Question #5

Which of the following architectural techniques is used for parallel processing?

  • A. Both A and B
  • B. Both B and C
  • C. The Superscalar Technique
  • D. The SuperVector Technique
  • E. Very Long Instruction Words (VLIW) Technique
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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