One question bank, three ways to study it: printable PDF, Windows test engine, and a browser-based online version that also works offline after download. LatestCram delivers all three for the SDS exam with 87 verified practice questions.
DASCA SDS Exam Overview:
| Certification Vendor: | DASCA (Data Science Council of America) |
|---|---|
| Exam Name: | Senior Data Scientist Certification Exam |
| Exam Number: | SDS |
| Passing Score: | 65% |
| Real Exam Qty: | 85 |
| Exam Format: | Multiple-choice multiple-answer, Multiple-choice single-answer |
| Exam Price: | USD 950 |
| Related Certifications: | Principal Data Scientist (PDS™) Senior Big Data Analyst (SBDA™) Senior Big Data Engineer (SBDE™) |
| Available Languages: | English |
| Certificate Validity Period: | 5 years |
| Exam Duration: | 100 minutes |
| Recommended Training: | DataScienceSkool™ Official Learning Resources |
| Exam Registration: | Official Registration Portal |
| Sample Questions: |  |
| Exam Way: | Online, remotely proctored via ExamStrong™ platform; available globally |
| Pre Condition: | Bachelor's degree + 4–5 years relevant experience; or Master's degree + 3–4 years experience in data science, analytics, or related fields |
| Official Syllabus URL: | https://www.dasca.org/data-science-certifications/senior-data-scientist |
DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Foundational Methods & Frameworks | 25% | - Advanced statistics, probability, and experimental design - Data preparation, feature engineering, and quality assurance - Machine learning algorithms, selection, and evaluation |
| Topic 2: Big Data Ecosystems & Scalable Systems | 20% | - Distributed computing frameworks and cloud platforms - Scalability, performance, and optimization - Data storage, processing pipelines, and governance |
| Topic 3: Advanced AI & Generative AI | 20% | - Responsible AI, ethics, fairness, transparency, and compliance - Generative AI techniques, use cases, and limitations - Deep learning, neural networks, and foundation models |
| Topic 4: MLOps & Production Deployment | 15% | - DevOps integration, automation, and CI/CD - Model governance, security, and reliability - Model lifecycle management, monitoring, and maintenance |
| Topic 5: Data Science Applications in Business | 20% | - Translating business requirements into data science problems - Data science strategy and enterprise alignment - Measuring and demonstrating ROI of data science initiatives |
SDS Questions and Answers
None that matter: downloads are unlimited and there is no meter on usage time, so you can reinstall the engine and practice with the SDS questions as often as you need. The software runs on Windows with a standard Java environment and simulates the real exam scenario session after session.
The DASCA Senior Data Scientist exam contains 85 questions, and you will have 100 minutes minutes to complete them. Unlimited practice sessions are what make this pacing feel natural by exam day.
This package includes 87 practice questions for the DASCA Senior Data Scientist exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
You can register for the DASCA Senior Data Scientist exam through the official channels:
Bachelor's degree + 4–5 years relevant experience; or Master's degree + 3–4 years experience in data science, analytics, or related fields
You can confirm the current eligibility requirements on the official SDS exam page before you register.
Many candidates combine practice questions with official training. Recommended options include:
The DASCA Senior Data Scientist exam requires a score of 65% to pass, and the official registration fee is USD 950. Budgeting for both the fee and solid preparation avoids paying twice.
Yes. The PDF version works well as training and teaching material: print it for classroom sessions, share it across a certification study group, or use it as handout content during internal courses. Many company buyers choose this version for exactly that purpose, and printing is unlimited.
The DASCA Senior Data Scientist practice questions are organized around the official exam objectives. Key topics include:
- Advanced AI & Generative AI (20%)
- MLOps & Production Deployment (15%)
- Foundational Methods & Frameworks (25%)
Team training sessions can follow this topic list to keep everyone on the same page.
DASCA Senior Data Scientist Sample Questions:
SpamAssassin has been developed to detect:
- A. Email with virus
- B. Spam emails
- C. Email with big attachments
- D. None of the above
Correct Answer: B 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which of the following is correct?
- A. DataFrame is similar to SQL tables or R data frames
- B. Both A and B
- C. The central object in Pandas is called a DataFrame
- D. All of the above
- E. A data frame is a table with rows and columns
Correct Answer: D 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Maximum Likelihood Estimation (MLE) is a way to frame:
- A. Small class of problems in HDFS
- B. Both A and C
- C. Large class of problems in HDFS
- D. Small class of problems in Data Science
- E. Large class of problems in Data Science
Correct Answer: E 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which of the following is TRUE for data lake?
- A. The data lake enables organizations to gather, manage, enrich, and analyze many new sources of data, whether structured or unstructured
- B. The data lake can make both of the Business Intelligence and Data Science environments more agile and more productive
- C. None of the above
- D. The data lake can make both of the Business Intelligence and Data Science environments less agile and more productive
- E. The data lake enables organizations to treat data as an organizational asset to be gathered and nurtured versus a cost to be minimized
Correct Answer: A,B,E 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which of the following is TRUE for Chief Data Monetization Officer (CDMO)?
i. CDMO should focus on driving and deriving value from the organization's data and analytic assets.
ii. The CDMO should own the organization's investment decisions with respect to data and analytics.
iii. CDMO should have revenue and margin responsibilities.
- A. ii, iii
- B. i, ii
- C. All of the above
Correct Answer: C 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
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