Last Updated: Aug 03, 2026
No. of Questions: 87 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Big Data Ecosystems & Scalable Systems | 20% | - Distributed computing frameworks and cloud platforms - Data storage, processing pipelines, and governance - Scalability, performance, and optimization |
| 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 |
| MLOps & Production Deployment | 15% | - Model governance, security, and reliability - DevOps integration, automation, and CI/CD - Model lifecycle management, monitoring, and maintenance |
| Data Science Applications in Business | 20% | - Data science strategy and enterprise alignment - Measuring and demonstrating ROI of data science initiatives - Translating business requirements into data science problems |
| Foundational Methods & Frameworks | 25% | - Machine learning algorithms, selection, and evaluation - Data preparation, feature engineering, and quality assurance - Advanced statistics, probability, and experimental design |
1. Which of the following is True about Time Series Analysis?
A) Predicting when/whether an event will occur, such as a failure of the machine generating the data
B) Projecting the value of the time series at future points in time, such as a stock whose price we want to predict
C) All of the above
D) Both A and B
E) Identifying interesting patterns in a corpus of time series data that is too large for a human to comb through
2. ElementTree sub-library gives us direct access to:
A) Copy tree of the XML
B) Delete tree of the XML
C) Parse tree of the XML
D) Insert tree of the XML
E) None of the above
3. Which of the following statements is correct?
A) Apache claimed that Spark is able to run parallel jobs 1000 times faster in memory and 100 times faster on disk in comparison to the traditional Hadoop MapReduce
B) Apache claimed that Spark is able to run parallel jobs 50 times faster in memory and 5 times faster on disk in comparison to the traditional Hadoop MapReduce
C) Apache claimed that Spark is able to run parallel jobs 100 times faster in memory and 10 times faster on disk in comparison to the traditional Hadoop MapReduce
D) Apache claimed that Spark is able to run parallel jobs 10 times faster in memory and 100 times faster on disk in comparison to the traditional Hadoop MapReduce
4. Machine learning can be categorized as:
A) Unsupervised learning
B) Supervised learning
C) All of the above
D) Reinforcement learning
5. What is Scrumban?
A) It combines the principles of Scrum and Kanban into a push-based system
B) It combines the principles of Scrum and Kanban into a pull-based system
C) It is Kanban
D) It is Scrum
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B |
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Bblythe
Eden
Hazel
Kimberley
Michelle
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