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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced AI & Generative AI | 20% | - Generative AI techniques, use cases, and limitations - Deep learning, neural networks, and foundation models - Responsible AI, ethics, fairness, transparency, and compliance |
| Topic 2: Big Data Ecosystems & Scalable Systems | 20% | - Distributed computing frameworks and cloud platforms - Data storage, processing pipelines, and governance - Scalability, performance, and optimization |
| Topic 3: Foundational Methods & Frameworks | 25% | - Data preparation, feature engineering, and quality assurance - Machine learning algorithms, selection, and evaluation - Advanced statistics, probability, and experimental design |
| 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% | - Data science strategy and enterprise alignment - Measuring and demonstrating ROI of data science initiatives - Translating business requirements into data science problems |
1. The Big Data Vision Workshop process is ideal for organizations who:
A) All of the above
B) Have a desire to leverage Big Data to transform their business but do not know where and how to start
C) Have a wealth of data that they do not know how to monetize
D) Have a desire to leverage the Big Data Vision Workshop to identify where and how to leverage data and analytics to power their business models
E) Both A and B
2. 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) Box Plots
B) Scatter Plot
C) None of the above
D) Histogram
E) Trend Analysis
3. Which of the following is TRUE for Tensor?
A) Both B and C
B) All of the above
C) In Tensor, there can be arbitrarily many dimensions to the array
D) Tensor is an array of floating-point numbers
E) Tensor is used to describe multidimensional arrays of numbers on which we perform linear operations
4. HDFS supports which quotas?
A) None of the above
B) Space quotas
C) Name quotas
D) Both A and B
5. Which of the following is used to summarize a dataset by showing the median, quantiles, and min/max values for each of the variables?
A) Scatter Chart
B) Box Plots
C) Histogram
D) Pie Charts
E) Bar Charts
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: B |
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