DASCA SDS Exam Overview:
| Certification Vendor: | DASCA |
| Exam Name: | DASCA Senior Data Scientist Certification |
| Exam Number: | SDS |
| Passing Score: | 65% |
| Exam Format: | Multiple Choice, Multiple Response, Scenario-based Questions |
| Real Exam Qty: | 100 |
| Available Languages: | English |
| Related Certifications: | DASCA Certified Data Scientist (CDS) DASCA Principal Data Scientist (PDS) |
| Certificate Validity Period: | 3 Years |
| Exam Price: | USD 650 |
| Exam Duration: | 100 minutes |
| Sample Questions: | DASCA SDS Sample Questions |
| Exam Way: | Online proctored or at authorized testing centers |
| Pre Condition: | Recommended: Bachelor's degree in a quantitative field, prior data science experience or DASCA CDS certification |
| Official Syllabus URL: | https://www.dasca.org/data-science-certifications/senior-data-scientist-sds |
DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning at Scale | 25-30% | - Unsupervised Learning
|
| Advanced Statistical Modeling | 20-25% | - Statistical Inference
|
| Data Visualization and Communication | 10-15% | - Visualization Principles
|
| Big Data Engineering | 15-20% | - Cloud Computing for Data Science
|
| Foundations of Data Science | 15-20% | - Data Science Lifecycle
|
DASCA Senior Data Scientist Sample Questions:
1. Which classification steps are performed in inductive techniques?
i. Training Step
ii. Test Step
iii. Validation Step
iv. Application Step
A) ii, iii
B) i, ii
C) i, ii, iv
D) i, ii, iii, iv
2. Which of the following is the most important part of Hadoop?
A) MapReduce Framework
B) Both A and B
C) Hadoop Distributed File System (HDFS)
D) Spark Framework
E) Both B and C
3. HDFS supports which quotas?
A) Both A and B
B) Name quotas
C) None of the above
D) Space quotas
4. Which of the following is a Python library for fitting Bayesian networks to real data?
A) PyMC
B) SCIMC
C) SciLib
D) MyLib
E) MCMC
5. Which of the following is CORRECT?
i. CDMO should NOT own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
ii. CDMO should own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
iii. CIO should NOT own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
iv. CIO should own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
A) ii, iii
B) ii, iv
C) i, iii
D) i, iv
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: D |

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