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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Statistical Modeling | 20-25% | - Regression Analysis
|
| Topic 2: Machine Learning at Scale | 25-30% | - Deep Learning Fundamentals
|
| Topic 3: Data Visualization and Communication | 10-15% | - Tools and Technologies
|
| Topic 4: Foundations of Data Science | 15-20% | - Data Science Ethics
|
| Topic 5: Big Data Engineering | 15-20% | - Distributed Computing
|
DASCA Senior Data Scientist Sample Questions:
1. The main purpose of a Statement Of Work (SOW) is to get:
A) All of the above
B) Everybody on the same page about what work should be done
C) What the priorities are
D) None of the above
E) What expectations are realistic
2. Which of the following standardizes scores similar to a percentile rank but preserves equal interval properties of a Z-score?
A) Trend analysis
B) Normal Curve Equivalent (NCE)
C) High Curve Equivalent (HCE)
D) None of the above
E) Medium Curve Equivalent (MCE)
3. Which of the following can visualize variations in the base data, which can be used to identify outliers in the data for further investigation?
A) Histogram
B) Trend Analysis
C) Scatter Plot
D) None of the above
E) Box Plots
4. Which of the following is FALSE for Social Network Analysis (SNA)?
A) SNA characterizes networked structures in terms of nodes and the ties or edges that connect them
B) Social Network Analysis (SNA) is an example of graph analysis
C) Social Network Analysis (SNA) is an example of trend analysis
D) None of the above
E) SNA is used to investigate social structures and relationships across social networks
5. The aim of developing Scribe was to offer reliability with using:
A) High disk space usage
B) Extensive protocols
C) Complex protocols
D) None of the above
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: E | Question # 4 Answer: C | Question # 5 Answer: D |

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