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Last Updated: Aug 02, 2026
No. of Questions: 87 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Science Applications in Business | 20% | - Measuring and demonstrating ROI of data science initiatives - Translating business requirements into data science problems - Data science strategy and enterprise alignment |
| Topic 2: Foundational Methods & Frameworks | 25% | - Data preparation, feature engineering, and quality assurance - Advanced statistics, probability, and experimental design - Machine learning algorithms, selection, and evaluation |
| Topic 3: Big Data Ecosystems & Scalable Systems | 20% | - Data storage, processing pipelines, and governance - Distributed computing frameworks and cloud platforms - Scalability, performance, and optimization |
| 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: Advanced AI & Generative AI | 20% | - Responsible AI, ethics, fairness, transparency, and compliance - Deep learning, neural networks, and foundation models - Generative AI techniques, use cases, and limitations |
1. ARIMA model is:
A) All of the above
B) Autoregressive moving average
C) Autointeractive moving average
D) Autoresponsive moving average
E) Autoreactive moving average
2. Which of these statements reflects a null hypothesis?
A) There will be a significant difference between group 1 and group 2
B) As temperature increases, so too will the level of aggression
C) Women will score higher than men on empathy
D) There will be no relationship between caffeine consumption and performance
E) Men will score higher than women on spatial awareness
3. Semi-structured data does NOT include:
A) Database system
B) File systems
C) Schema-full data
D) Scientific data
4. 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 expectations are realistic
D) None of the above
E) What the priorities are
5. Which of the following is NOT an example of the applications of neural networks?
A) Traveling salesman's problem
B) Stock market prediction
C) Image compression
D) Character recognition
E) None of the above
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: A |
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